At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.
We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI.
Working onsite at our Santa Clara, CA headquarters 3 days per week hybrid. Will consider remote in the United States.
The role: Principal Architect, Performance Analysis and Modeling
d-Matrix is seeking outstanding computer architects to help accelerate AI application performance at the intersection of both hardware and software, with particular focus on emerging hardware technologies (such as DIMC, D2D, 3D-DRAM, etc.) and emerging workloads (such as generative inference, etc.). Our acceleration philosophy cuts through the system, ranging from efficient tensor cores, storage, and data movements along with co-design of dataflow and collective communication techniques.
What you will do:
As a member of the architecture team, you will analyze the latest ML workloads (multi-modal LLMs, CoT reasoning models, video/audio generation)
You will contribute hardware and software features that power the next generation of inference accelerators in datacenters
This role requires keeping up with the latest research in ML architecture and algorithms and collaborating with different partner teams, including Product, Hardware Design, Compiler, Inference Server, and Kernels
Your day-to-day work will include (1) analyzing the properties of emerging machine learning algorithms and workloads and identifying functional, performance implications (2) Creating analytical models to project performance on current and future generations of d-matrix hardware (3) proposing new HW/SW features to enable or accelerate these algorithms
What you will bring:
Minimum:
BSEE with 10+ years of industry experience or MSEE preferred with 8+ years of industry experience
Solid grasp through academic or industry experience in multiple of the relevant areas, computer architecture, hardware-software codesign, performance modeling, ML fundamentals (particularly DNNs)
Programming fluency in C/C++ or Python
Experience with developing analytical performance models, architecture simulators for performance analysis
Research background with publication record in top-tier architecture, or machine learning venues is a huge plus (such as ISCA, MICRO, ASPLOS, HPCA, DAC, MLSys etc.)
Self-motivated team player with strong sense of collaboration and initiative
Equal Opportunity Employment Policy
d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.
d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.
","descriptionPlain":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.\n\nWe value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI. \n\nWorking onsite at our Santa Clara, CA headquarters 3 days per week hybrid. Will consider remote in the United States.\n\nThe role: Principal Architect, Performance Analysis and Modeling\n\nd-Matrix is seeking outstanding computer architects to help accelerate AI application performance at the intersection of both hardware and software, with particular focus on emerging hardware technologies (such as DIMC, D2D, 3D-DRAM, etc.) and emerging workloads (such as generative inference, etc.). Our acceleration philosophy cuts through the system, ranging from efficient tensor cores, storage, and data movements along with co-design of dataflow and collective communication techniques.\n\nWhat you will do:\n\n - As a member of the architecture team, you will analyze the latest ML workloads (multi-modal LLMs, CoT reasoning models, video/audio generation)\n\n - You will contribute hardware and software features that power the next generation of inference accelerators in datacenters\n\n - This role requires keeping up with the latest research in ML architecture and algorithms and collaborating with different partner teams, including Product, Hardware Design, Compiler, Inference Server, and Kernels\n\n - Your day-to-day work will include (1) analyzing the properties of emerging machine learning algorithms and workloads and identifying functional, performance implications (2) Creating analytical models to project performance on current and future generations of d-matrix hardware (3) proposing new HW/SW features to enable or accelerate these algorithms \n\nWhat you will bring:\n\nMinimum:\n\n - BSEE with 10+ years of industry experience or MSEE preferred with 8+ years of industry experience\n\n - Solid grasp through academic or industry experience in multiple of the relevant areas, computer architecture, hardware-software codesign, performance modeling, ML fundamentals (particularly DNNs)\n\n - Programming fluency in C/C++ or Python\n\n - Experience with developing analytical performance models, architecture simulators for performance analysis\n\n - Research background with publication record in top-tier architecture, or machine learning venues is a huge plus (such as ISCA, MICRO, ASPLOS, HPCA, DAC, MLSys etc.)\n\n - Self-motivated team player with strong sense of collaboration and initiative\n\nEqual Opportunity Employment Policy\n\nd-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.\n\nd-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation. ","compensation":{"compensationTierSummary":"$195K – $285K • Offers Equity • Offers Bonus","scrapeableCompensationSalarySummary":"$195K - $285K","compensationTiers":[{"id":"4c007ae0-193c-4842-aef9-3e6e4a07d6c1","tierSummary":"$195K – $285K • Offers Equity • Offers Bonus","title":null,"additionalInformation":null,"components":[{"id":"8de7ae02-60ca-41c1-a1e2-00545337539e","summary":"$195K – $285K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":195000,"maxValue":285000},{"id":"f437da93-ab9c-418a-9db5-202ce06f55ed","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"47152ad7-f07f-4106-b2c0-2a4ef54786cc","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":195000,"maxValue":285000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}},{"id":"9c301105-7338-4375-8286-59b1d649fd44","title":"Sr. Staff Design Verification Engineer ","department":"Hardware Engineering","team":"Design Verification","employmentType":"FullTime","location":"Santa Clara","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2025-04-03T05:24:56.613+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"Ca","addressCountry":"United States","addressLocality":"Santa Clara, Ca"}},"jobUrl":"https://jobs.ashbyhq.com/d-Matrix/9c301105-7338-4375-8286-59b1d649fd44","applyUrl":"https://jobs.ashbyhq.com/d-Matrix/9c301105-7338-4375-8286-59b1d649fd44/application","descriptionHtml":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.
We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI.
d-Matrix is building a company and culture designed to last — one grounded in transparency, inclusiveness, and intellectual honesty, where continuous learning is part of the job. We've built the industry's first highly programmable in-memory computing architecture, applicable across a broad range of applications from cloud to edge. In this role, you'll work on a groundbreaking architecture alongside a highly experienced team that has a proven track record of building successful businesses. This is a unique opportunity to help shape a company at an early stage and grow into a future leader in an industry poised for global impact.
Develop and execute verification plans across the SoC/IP verification cycle, from architecture definition through tape-out and silicon bring-up
Build and maintain UVM/OVM-based verification environments for complex ASIC/SoC designs
Write and debug SystemVerilog testbenches, leveraging randomization, functional coverage, and assertion-based methodologies
Drive root-cause analysis and debug of verification failures in close collaboration with design and architecture teams
Define and track coverage closure goals to ensure comprehensive verification sign-off
Partner cross-functionally with design, architecture, and physical design teams to align verification strategy with tape-out schedules
Contribute to the evolution of verification methodology and infrastructure to support next-generation in-memory computing architectures
BS in Electrical Engineering, Computer Science, or a related field with 12+ years of industry experience (MS preferred with 7+ years)
Experience across the full SoC/IP verification cycle — from architecture through tape-out and bring-up
Hands-on ASIC/SoC design verification test development and debug experience
Fluency with SystemVerilog (randomization, constraints, coverage, assertions) and verification methodologies such as UVM/OVM/VMM
Strong problem-solving skills and a passion for tackling complex technical challenges, particularly in the AI domain
Experience with C/C++ and SystemC
Track record leading the creation and implementation of multiple SoC verification environments and driving tape-out efforts
Equal Opportunity Employment Policy
d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.
d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.
","descriptionPlain":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.\n\nWe value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI. \n\n\nROLE OVERVIEW\n\nd-Matrix is building a company and culture designed to last — one grounded in transparency, inclusiveness, and intellectual honesty, where continuous learning is part of the job. We've built the industry's first highly programmable in-memory computing architecture, applicable across a broad range of applications from cloud to edge. In this role, you'll work on a groundbreaking architecture alongside a highly experienced team that has a proven track record of building successful businesses. This is a unique opportunity to help shape a company at an early stage and grow into a future leader in an industry poised for global impact.\n\n\n\n\nWHAT YOU WILL DO\n\n - Develop and execute verification plans across the SoC/IP verification cycle, from architecture definition through tape-out and silicon bring-up\n\n - Build and maintain UVM/OVM-based verification environments for complex ASIC/SoC designs\n\n - Write and debug SystemVerilog testbenches, leveraging randomization, functional coverage, and assertion-based methodologies\n\n - Drive root-cause analysis and debug of verification failures in close collaboration with design and architecture teams\n\n - Define and track coverage closure goals to ensure comprehensive verification sign-off\n\n - Partner cross-functionally with design, architecture, and physical design teams to align verification strategy with tape-out schedules\n\n - Contribute to the evolution of verification methodology and infrastructure to support next-generation in-memory computing architectures\n\n\nWHAT YOU WILL BRING\n\n - BS in Electrical Engineering, Computer Science, or a related field with 12+ years of industry experience (MS preferred with 7+ years)\n\n - Experience across the full SoC/IP verification cycle — from architecture through tape-out and bring-up\n\n - Hands-on ASIC/SoC design verification test development and debug experience\n\n - Fluency with SystemVerilog (randomization, constraints, coverage, assertions) and verification methodologies such as UVM/OVM/VMM\n\n - Strong problem-solving skills and a passion for tackling complex technical challenges, particularly in the AI domain\n\n\nPREFERRED QUALIFICATIONS\n\n - Experience with C/C++ and SystemC\n\n - Track record leading the creation and implementation of multiple SoC verification environments and driving tape-out efforts\n\nEqual Opportunity Employment Policy\n\nd-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.\n\nd-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation. ","compensation":{"compensationTierSummary":"$175K – $265K • Offers Equity • Offers Bonus","scrapeableCompensationSalarySummary":"$175K - $265K","compensationTiers":[{"id":"cfcb681b-ea33-43dc-adc5-b3b60959b371","tierSummary":"$175K – $265K • Offers Equity • Offers Bonus","title":null,"additionalInformation":null,"components":[{"id":"00cd92c3-9508-43b4-9044-e56c0380d7ac","summary":"$175K – $265K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":175000,"maxValue":265000},{"id":"c73b0222-92fc-4d7a-8c31-ad5420434019","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"818fc16e-a2a2-417d-a581-5cc394feff56","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":175000,"maxValue":265000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}},{"id":"0d553c27-7504-44df-b045-233cd4741cc6","title":"Technical Recruiter, Staff ","department":"G&A","team":"Talent Acquisition","employmentType":"FullTime","location":"Santa Clara","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[{"location":"Remote","address":{"postalAddress":{"addressCountry":"United States","addressLocality":"seattle, WA"}}}],"publishedAt":"2026-07-26T23:23:54.599+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"Ca","addressCountry":"United States","addressLocality":"Santa Clara, Ca"}},"jobUrl":"https://jobs.ashbyhq.com/d-Matrix/0d553c27-7504-44df-b045-233cd4741cc6","applyUrl":"https://jobs.ashbyhq.com/d-Matrix/0d553c27-7504-44df-b045-233cd4741cc6/application","descriptionHtml":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.
We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI.
Location:
Hybrid, working onsite at our Santa Clara, CA headquarters 3 days per week.
The Role: Staff Technical Recruiter
In this role you will be responsible for managing candidates through all stages of the interview/hiring process. The ideal candidate will have proven experience sourcing, recruiting and partnering with business stakeholders to hire top talent for d-Matrix.
What you will do:
Hardware / Software Engineering Recruiter Responsibilities:
• Own full life-cycle recruiting for roles across multiple disciplines, from intake to close.
• Build and refine sourcing strategies for hard-to-find deep-tech talent, and drive adoption of AI-powered sourcing and screening tools across the team.
• Build genuine, trust-based relationships with hiring managers and candidates, acting as a strategic partner rather than an order-taker.
• Keep ATS data clean and build reporting and dashboards that give leadership a real-time, data-driven view of the pipeline.
• Operate autonomously, bringing structure to ambiguous searches without waiting to be told how.
What you will bring:
• 8+ years of full life-cycle technical recruiting experience, including closing senior and staff-level candidates.
• Experience recruiting across multiple technical verticals, not just a single specialty.
• Expert fluency with an ATS and with building your own reporting and dashboards.
• Proven ability to operate autonomously in a fast-paced, startup environment.
• Excellent communication skills, with a track record of building trust with hiring managers and candidates alike.
Equal Opportunity Employment Policy
d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.
d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.
","descriptionPlain":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.\n\nWe value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI. \n\nLocation:\n\n Hybrid, working onsite at our Santa Clara, CA headquarters 3 days per week.\n\n\n\nThe Role: Staff Technical Recruiter\n\nIn this role you will be responsible for managing candidates through all stages of the interview/hiring process. The ideal candidate will have proven experience sourcing, recruiting and partnering with business stakeholders to hire top talent for d-Matrix.\n\n\n\nWhat you will do:\n\nHardware / Software Engineering Recruiter Responsibilities:\n\n• Own full life-cycle recruiting for roles across multiple disciplines, from intake to close.\n\n• Build and refine sourcing strategies for hard-to-find deep-tech talent, and drive adoption of AI-powered sourcing and screening tools across the team.\n\n• Build genuine, trust-based relationships with hiring managers and candidates, acting as a strategic partner rather than an order-taker.\n\n• Keep ATS data clean and build reporting and dashboards that give leadership a real-time, data-driven view of the pipeline.\n\n• Operate autonomously, bringing structure to ambiguous searches without waiting to be told how.\n\n\n\nWhat you will bring:\n\n• 8+ years of full life-cycle technical recruiting experience, including closing senior and staff-level candidates.\n\n• Experience recruiting across multiple technical verticals, not just a single specialty.\n\n• Expert fluency with an ATS and with building your own reporting and dashboards.\n\n• Proven ability to operate autonomously in a fast-paced, startup environment.\n\n• Excellent communication skills, with a track record of building trust with hiring managers and candidates alike.\n\n\n\nEqual Opportunity Employment Policy\n\nd-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.\n\nd-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation. ","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"7b4b1167-1d63-4d35-b9cb-02e4ddab8436","title":"Principal System Software Engineer, AI Inference Execution","department":"Software Engineering","team":"Inference Execution","employmentType":"FullTime","location":"Santa Clara","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-07-28T16:05:16.532+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"Ca","addressCountry":"United States","addressLocality":"Santa Clara, Ca"}},"jobUrl":"https://jobs.ashbyhq.com/d-Matrix/7b4b1167-1d63-4d35-b9cb-02e4ddab8436","applyUrl":"https://jobs.ashbyhq.com/d-Matrix/7b4b1167-1d63-4d35-b9cb-02e4ddab8436/application","descriptionHtml":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.
We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI.
Location:
Hybrid, working onsite at our Santa Clara, CA, headquarters 3 days per week.
The role: Principal System Software Engineer, AI Inference Execution
What you will do:
The role requires you to be part of the team that helps productize the SW stack for our AI compute engine. As part of the software team, you will be responsible for the development, enhancement, and maintenance of the next-generation AI deployment software. You have had past experience working across all aspects of the full-stack toolchain and understand the nuances of what it takes to optimize and trade-off various aspects of hardware-software co-design. You are able to build and scale software deliverables in a tight development window. You will work with a team of system software experts to build out the deployment infrastructure, working closely with other software (ML and compilers) and hardware experts in the company.
What you will bring:
Minimum:
BS in Computer Science, Engineering, Math, Physics, or related degree with 12+ years of industry software development experience and MS in Computer Science, Engineering, Math, Physics, or related degree preferred with 6+ years
Strong grasp of system software, data structures, computer architecture, and machine learning fundamentals
Proficient in C/C++/Python development in Linux environment and using standard development tools
Experience with distributed, high-performance software design and implementation
Self-motivated team player with a strong sense of ownership and leadership.
Preferred:
MS or PhD in Computer Science, Electrical Engineering, or related fields
Experience with inference servers/model serving frameworks (such as TensorRT-LLM, vLLM, SGLang, etc.)
Experience with deep learning frameworks (such as PyTorch and TensorFlow)
Experience with deep learning runtimes (such as ONNX Runtime, TensorRT, etc.).
Experience with distributed systems collectives such as NCCL and OpenMPI
Experience with software testing fundamentals
Experience deploying ML workloads (LLMs, VLMs, NLP, etc.) on distributed systems.
Experience with Kubernetes, Ray, or other MLOps tools and techniques used from definition to deployment
Prior startup, small team, or incubation experience
Work experience at a cloud provider or AI compute/subsystem company
Equal Opportunity Employment Policy
d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.
d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.
","descriptionPlain":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.\n\nWe value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI. \n\nLocation:\n\nHybrid, working onsite at our Santa Clara, CA, headquarters 3 days per week.\n\n\nThe role: Principal System Software Engineer, AI Inference Execution\n\nWhat you will do:\n\nThe role requires you to be part of the team that helps productize the SW stack for our AI compute engine. As part of the software team, you will be responsible for the development, enhancement, and maintenance of the next-generation AI deployment software. You have had past experience working across all aspects of the full-stack toolchain and understand the nuances of what it takes to optimize and trade-off various aspects of hardware-software co-design. You are able to build and scale software deliverables in a tight development window. You will work with a team of system software experts to build out the deployment infrastructure, working closely with other software (ML and compilers) and hardware experts in the company.\n\n\nWhat you will bring:\n\nMinimum:\n\n - BS in Computer Science, Engineering, Math, Physics, or related degree with 12+ years of industry software development experience and MS in Computer Science, Engineering, Math, Physics, or related degree preferred with 6+ years\n\n - Strong grasp of system software, data structures, computer architecture, and machine learning fundamentals\n\n - Proficient in C/C++/Python development in Linux environment and using standard development tools\n\n - Experience with distributed, high-performance software design and implementation\n\n - Self-motivated team player with a strong sense of ownership and leadership.\n\n\n\nPreferred:\n\n - MS or PhD in Computer Science, Electrical Engineering, or related fields\n\n - Experience with inference servers/model serving frameworks (such as TensorRT-LLM, vLLM, SGLang, etc.)\n\n - Experience with deep learning frameworks (such as PyTorch and TensorFlow)\n\n - Experience with deep learning runtimes (such as ONNX Runtime, TensorRT, etc.).\n\n - Experience with distributed systems collectives such as NCCL and OpenMPI\n\n - Experience with software testing fundamentals\n\n - Experience deploying ML workloads (LLMs, VLMs, NLP, etc.) on distributed systems.\n\n - Experience with Kubernetes, Ray, or other MLOps tools and techniques used from definition to deployment\n\n - Prior startup, small team, or incubation experience\n\n - Work experience at a cloud provider or AI compute/subsystem company\n\n\n\n\n\nEqual Opportunity Employment Policy\n\nd-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.\n\nd-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation. ","compensation":{"compensationTierSummary":"$195K – $285K • Offers Equity • Offers Bonus","scrapeableCompensationSalarySummary":"$195K - $285K","compensationTiers":[{"id":"b0489592-c252-4379-bd0f-7d60abdce9db","tierSummary":"$195K – $285K • Offers Equity • Offers Bonus","title":"IC6 Principal","additionalInformation":null,"components":[{"id":"8e7cbcc6-f1c1-4726-bbe9-dceba4e12fd7","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"a4487af6-03ae-4ded-a709-7ba9c6a1c3ac","summary":"$195K – $285K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":195000,"maxValue":285000},{"id":"65e8b9b8-8f3d-42b8-9fb8-4a7b6269bf37","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":195000,"maxValue":285000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"557e2fbb-6b68-4b2a-b2f4-a09069b2ff6e","title":"Business Planner - Systems and Racks","department":"Operations and Supply Chain","team":"Operations and Supply Chain","employmentType":"FullTime","location":"Santa Clara","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-09-29T20:50:12.807+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"Ca","addressCountry":"United States","addressLocality":"Santa Clara, Ca"}},"jobUrl":"https://jobs.ashbyhq.com/d-Matrix/557e2fbb-6b68-4b2a-b2f4-a09069b2ff6e","applyUrl":"https://jobs.ashbyhq.com/d-Matrix/557e2fbb-6b68-4b2a-b2f4-a09069b2ff6e/application","descriptionHtml":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.
We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI.
Drives end-to-end demand and supply planning for the company's server systems and rack-level product lines. Serves as the central point of accountability for forecast accuracy, supply–demand balancing, material liability, and L10–L12 operational readiness, partnering across Sales, Product, Operations, Manufacturing, and Finance.
Key Responsibilities
Supply Chain Ecosystem (L10–L12)
Design and scale the L10–L12 partner network (CMs, ODMs, integrators, logistics, deployment teams) for rack and cluster-scale delivery including sourcing, selection and ongoing performance management.
Drive partner/vendor contracts and lead the development and communication of supply chain responsibility requirements in all Statements of Work (SOWs).
Serve as the primary point of contact for supply chain risk identification, escalation, and resolution across active vendor relationships.
Demand & Supply Planning
Own the monthly demand forecast (SKU / configuration / customer); lead S&OP and drive forecast accuracy and bias improvements.
Translate demand into executable build plans and rack integration schedules with manufacturing and CMs; balance supply, inventory turns, and revenue attainment.
Drive customer orders through fulfillment and commit ship dates against build availability and component readiness.
Material Management & Sourcing
Lead material management across CMs, ODMs, and internal sites; resolve shortages and protect build commits.
Drive alternate sourcing (AVL / AML qualification) with Commodity Management and Procurement to mitigate single-source and lead-time risk.
Negotiate contractual material liability terms based on lead times (liability windows, flexibility, forecast-to-PO rules); quantify and report exposure monthly.
Conduct BOM risk analysis for NPI and sustaining products; drive mitigation plans for long-lead, single-source, EOL, and high-liability components.
Service, RMA & Lifecycle
Own planning for RMA flows and field replacement programs; ensure FRU availability and SLA attainment with the service organization.
Manage NPI ramp planning, EOL transitions, and last-time buys to minimize E&O and stranded inventory.
Cross-Functional Collaboration
Single planning point of contact for Sales (commits, lead times, fulfillment); align with Finance on revenue plans.
Publish weekly / monthly planning dashboards; present plans and risks to BU leadership.
Qualifications
Bachelor's in Supply Chain, Business, Engineering, or related; 5+ years in demand / supply / material planning, preferably in hardware, server, or data center.
Strong S&OP / IBP knowledge; BOM structures and CM / ODM manufacturing flow.
Experience with alternate sourcing and material liability negotiation.
Proficiency with planning systems (SAP IBP, Oracle, Kinaxis, o9, Anaplan, or equivalent); advanced Excel.
Preferred:
CTO / BTO server or rack-scale planning; L10–L12 integration and RMA operations; hyperscaler or AI/ML infrastructure customer dynamics; APICS CPIM / CSCP; MBA.
Key Performance Indicators
Forecast accuracy & bias
Build plan attainment
Ship-date commit accuracy
Inventory turns & E&O
Material liability exposure
BOM risk closure
FRU SLA attainment
RMA turnaround
L10–L12 on-time to customer-ready
Revenue attainment vs. plan
Equal Opportunity Employment Policy
d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.
d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.
","descriptionPlain":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.\n\nWe value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI. \n\nDrives end-to-end demand and supply planning for the company's server systems and rack-level product lines. Serves as the central point of accountability for forecast accuracy, supply–demand balancing, material liability, and L10–L12 operational readiness, partnering across Sales, Product, Operations, Manufacturing, and Finance.\n\nKey Responsibilities\n\nSupply Chain Ecosystem (L10–L12)\n\n - Design and scale the L10–L12 partner network (CMs, ODMs, integrators, logistics, deployment teams) for rack and cluster-scale delivery including sourcing, selection and ongoing performance management.\n\n - Drive partner/vendor contracts and lead the development and communication of supply chain responsibility requirements in all Statements of Work (SOWs).\n\n - Serve as the primary point of contact for supply chain risk identification, escalation, and resolution across active vendor relationships.\n\nDemand & Supply Planning\n\n - Own the monthly demand forecast (SKU / configuration / customer); lead S&OP and drive forecast accuracy and bias improvements.\n\n - Translate demand into executable build plans and rack integration schedules with manufacturing and CMs; balance supply, inventory turns, and revenue attainment.\n\n - Drive customer orders through fulfillment and commit ship dates against build availability and component readiness.\n\nMaterial Management & Sourcing\n\n - Lead material management across CMs, ODMs, and internal sites; resolve shortages and protect build commits.\n\n - Drive alternate sourcing (AVL / AML qualification) with Commodity Management and Procurement to mitigate single-source and lead-time risk.\n\n - Negotiate contractual material liability terms based on lead times (liability windows, flexibility, forecast-to-PO rules); quantify and report exposure monthly.\n\n - Conduct BOM risk analysis for NPI and sustaining products; drive mitigation plans for long-lead, single-source, EOL, and high-liability components.\n\nService, RMA & Lifecycle\n\n - Own planning for RMA flows and field replacement programs; ensure FRU availability and SLA attainment with the service organization.\n\n - Manage NPI ramp planning, EOL transitions, and last-time buys to minimize E&O and stranded inventory.\n\nCross-Functional Collaboration\n\n - Single planning point of contact for Sales (commits, lead times, fulfillment); align with Finance on revenue plans.\n\n - Publish weekly / monthly planning dashboards; present plans and risks to BU leadership.\n\nQualifications\n\n - Bachelor's in Supply Chain, Business, Engineering, or related; 5+ years in demand / supply / material planning, preferably in hardware, server, or data center.\n\n - Strong S&OP / IBP knowledge; BOM structures and CM / ODM manufacturing flow.\n\n - Experience with alternate sourcing and material liability negotiation.\n\n - Proficiency with planning systems (SAP IBP, Oracle, Kinaxis, o9, Anaplan, or equivalent); advanced Excel.\n\nPreferred: \n\n - CTO / BTO server or rack-scale planning; L10–L12 integration and RMA operations; hyperscaler or AI/ML infrastructure customer dynamics; APICS CPIM / CSCP; MBA.\n\nKey Performance Indicators\n\n - Forecast accuracy & bias \n\n - Build plan attainment \n\n - Ship-date commit accuracy \n\n - Inventory turns & E&O \n\n - Material liability exposure \n\n - BOM risk closure \n\n - FRU SLA attainment \n\n - RMA turnaround \n\n - L10–L12 on-time to customer-ready \n\n - Revenue attainment vs. plan\n\nEqual Opportunity Employment Policy\n\nd-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.\n\nd-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation. ","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"baf4903f-0fff-4ad2-aa2b-8a56b104db5c","title":"Staff Analog Design Engineer","department":"Hardware Engineering","team":"Analog Circuits","employmentType":"FullTime","location":"Santa Clara","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2025-05-20T17:31:17.516+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"Ca","addressCountry":"United States","addressLocality":"Santa Clara, Ca"}},"jobUrl":"https://jobs.ashbyhq.com/d-Matrix/baf4903f-0fff-4ad2-aa2b-8a56b104db5c","applyUrl":"https://jobs.ashbyhq.com/d-Matrix/baf4903f-0fff-4ad2-aa2b-8a56b104db5c/application","descriptionHtml":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.
We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI.
d-Matrix is looking for a Staff Analog Design Engineer to lead analog-mixed signal IC design for our next-generation AI inference accelerators. This role owns circuit design for two critical subsystems: our in-memory-compute engine and the die-to-die serial interface that enables scale-out. You will drive design from schematic through silicon bring-up, guiding layout engineers working in deep sub-micron process nodes (7nm and below) and ensuring designs meet low-power performance targets across process-voltage-temperature corners. You will partner closely with layout engineers, backend/digital integration teams, and cross-site colleagues to deliver silicon-ready designs. This is a high-impact role for someone who wants to shape the analog foundations of state-of-the-art AI hardware.
Design analog-mixed signal circuits using industry-standard tools such as Cadence and Synopsys
Develop schematic-level circuit designs and conduct system-level performance analysis
Build test benches to support simulation and verification, including Monte Carlo yield analysis across PVT corners
Guide layout engineers on circuit layout in deep sub-micron process nodes (7nm and below), including hands-on minor layout adjustments as needed
Partner with backend engineers to integrate design and layout, and provide circuit models to support backend verification
Support testboard design for silicon bring-up, bench debug, and characterization
Build scripts to support silicon bring-up and test feature validation
BS, MS, or PhD in Electrical Engineering with 5+ years of related professional experience in high-speed circuit design (e.g., phase interpolators, clocking, PLL design)
Experience with schematic capture, SPICE simulation, and Monte Carlo simulation
Experience with circuit layout, extraction, and back-annotated simulation
Experience with channel modeling using MATLAB or similar tools
Strong cross-functional communication and collaboration skills, with the ability to work effectively across distributed, cross-site teams
Strong analytical and problem-solving skills, with the ability to manage multiple priorities in a fast-paced environment
We'd be excited about candidates with deep expertise in any one of the following areas:
SerDes verification & characterization — building/maintaining analog verification infrastructure (testbenches, regressions, Monte Carlo campaigns), migrating blocks across process nodes, or reliability analysis (EM, IR drop, ESD/latch-up)
Clocking & CDR — ownership of a low-jitter PLL, phase interpolator, or CDR loop through silicon at 25 Gbps+ per lane, including bang-bang/baud-rate/DSP-assisted CDR architectures
TX/RX datapath — high-speed driver or receive front-end design (CTLE, VGA, samplers), DFE/FFE equalization, or PAM4/DSP-based receiver architectures
Die-to-die interconnect experience (UCIe, BoW, or proprietary D2D PHY), familiarity with relevant specs (OIF CEI-112G/224G, IEEE 802.3, PCIe Gen6/7), or standards body participation
Equal Opportunity Employment Policy
d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.
d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.
","descriptionPlain":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.\n\nWe value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI. \n\n\n\n\nROLE OVERVIEW\n\nd-Matrix is looking for a Staff Analog Design Engineer to lead analog-mixed signal IC design for our next-generation AI inference accelerators. This role owns circuit design for two critical subsystems: our in-memory-compute engine and the die-to-die serial interface that enables scale-out. You will drive design from schematic through silicon bring-up, guiding layout engineers working in deep sub-micron process nodes (7nm and below) and ensuring designs meet low-power performance targets across process-voltage-temperature corners. You will partner closely with layout engineers, backend/digital integration teams, and cross-site colleagues to deliver silicon-ready designs. This is a high-impact role for someone who wants to shape the analog foundations of state-of-the-art AI hardware.\n\n\n\n\nWHAT YOU WILL DO\n\n - Design analog-mixed signal circuits using industry-standard tools such as Cadence and Synopsys\n\n - Develop schematic-level circuit designs and conduct system-level performance analysis\n\n - Build test benches to support simulation and verification, including Monte Carlo yield analysis across PVT corners\n\n - Guide layout engineers on circuit layout in deep sub-micron process nodes (7nm and below), including hands-on minor layout adjustments as needed\n\n - Partner with backend engineers to integrate design and layout, and provide circuit models to support backend verification\n\n - Support testboard design for silicon bring-up, bench debug, and characterization\n\n - Build scripts to support silicon bring-up and test feature validation\n\n\nWHAT YOU WILL BRING\n\n - BS, MS, or PhD in Electrical Engineering with 5+ years of related professional experience in high-speed circuit design (e.g., phase interpolators, clocking, PLL design)\n\n - Experience with schematic capture, SPICE simulation, and Monte Carlo simulation\n\n - Experience with circuit layout, extraction, and back-annotated simulation\n\n - Experience with channel modeling using MATLAB or similar tools\n\n - Strong cross-functional communication and collaboration skills, with the ability to work effectively across distributed, cross-site teams\n\n - Strong analytical and problem-solving skills, with the ability to manage multiple priorities in a fast-paced environment\n\n\nPREFERRED QUALIFICATIONS\n\nWe'd be excited about candidates with deep expertise in any one of the following areas:\n\n - SerDes verification & characterization — building/maintaining analog verification infrastructure (testbenches, regressions, Monte Carlo campaigns), migrating blocks across process nodes, or reliability analysis (EM, IR drop, ESD/latch-up)\n\n - Clocking & CDR — ownership of a low-jitter PLL, phase interpolator, or CDR loop through silicon at 25 Gbps+ per lane, including bang-bang/baud-rate/DSP-assisted CDR architectures\n\n - TX/RX datapath — high-speed driver or receive front-end design (CTLE, VGA, samplers), DFE/FFE equalization, or PAM4/DSP-based receiver architectures\n\n - Die-to-die interconnect experience (UCIe, BoW, or proprietary D2D PHY), familiarity with relevant specs (OIF CEI-112G/224G, IEEE 802.3, PCIe Gen6/7), or standards body participation\n\nEqual Opportunity Employment Policy\n\nd-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.\n\nd-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation. ","compensation":{"compensationTierSummary":"$155K – $250K • Offers Equity • Offers Bonus","scrapeableCompensationSalarySummary":"$155K - $250K","compensationTiers":[{"id":"8e614929-b843-44e0-9fdd-efcf4777e9cb","tierSummary":"$155K – $250K • Offers Equity • Offers Bonus","title":null,"additionalInformation":null,"components":[{"id":"267387d3-8ca1-43de-8f41-2b5a150d9a07","summary":"$155K – $250K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":155000,"maxValue":250000},{"id":"916f100d-e0c3-4caf-96ae-451d64ae42c4","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"6ee0a5ac-db64-4382-a2d9-4fcf00f7f4ca","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":155000,"maxValue":250000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}},{"id":"747ebfe6-6641-4550-b0f0-50a33948a807","title":"Staff Systems and Platforms Software Engineer","department":"Software Engineering","team":"Runtime","employmentType":"FullTime","location":"Santa Clara","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[{"location":"Sydney","address":{"postalAddress":{"addressRegion":"New South Wales","addressCountry":"Australia","addressLocality":"Sydney"}}}],"publishedAt":"2026-09-24T18:40:52.469+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"Ca","addressCountry":"United States","addressLocality":"Santa Clara, Ca"}},"jobUrl":"https://jobs.ashbyhq.com/d-Matrix/747ebfe6-6641-4550-b0f0-50a33948a807","applyUrl":"https://jobs.ashbyhq.com/d-Matrix/747ebfe6-6641-4550-b0f0-50a33948a807/application","descriptionHtml":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.
We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI.
Location:
Hybrid, working onsite at our Santa Clara, CA, headquarters 3 days per week.
Staff Systems and Platforms Software Engineer
Role Overview
d-Matrix is building an in-memory compute platform for AI inference in the datacenter, and this role owns the runtime software that makes that silicon perform. As a Staff Systems and Platforms Software Engineer, you'll architect and develop the runtime, low-level drivers, and systems software that run across the multi-core CPU subsystems inside our SoC and the systems that host it. You'll be the primary owner of runtime performance for the silicon product, setting delivery schedules, upholding d-Matrix's coding and methodology standards, and making the architectural calls that determine how fast and reliably our chips run in production. You'll work closely with the hardware team, hardware verification, and the rest of software engineering to get there.
What You Will Do
Architect, document, and develop runtime software that executes across the SoC's multi-core CPU subsystems.
Own end-to-end runtime performance of the silicon product.
Design and develop low-level drivers and systems software for the platforms that host the SoC.
Design, implement, and develop distributed, scale-out systems software for AI inference infrastructure.
Set delivery schedules and ensure software meets d-Matrix coding and methodology guidelines.
Identify, analyze, and debug complex systems-level software issues.
Deliver production-quality code across the runtime and driver stack.
Collaborate with the hardware team, hardware verification team, and other software engineers throughout development.
What You Will Bring
Bachelor's degree in computer engineering, electrical engineering, or a related field, with a minimum of 5 years of industry experience in embedded software development.
Hands-on experience with Linux system-level programming.
Strong knowledge of Linux device drivers.
Hands-on systems programming experience in C or C++.
Experience working with containers and VMs.
Strong operating systems fundamentals.
Excellent written and verbal communication skills.
Preferred Qualifications
Experience with Python.
Understanding of the GPU accelerator compute stack.
Equal Opportunity Employment Policy
d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.
d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.
","descriptionPlain":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.\n\nWe value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI. \n\nLocation:\n\nHybrid, working onsite at our Santa Clara, CA, headquarters 3 days per week.\n\nStaff Systems and Platforms Software Engineer\n\nRole Overview\n\nd-Matrix is building an in-memory compute platform for AI inference in the datacenter, and this role owns the runtime software that makes that silicon perform. As a Staff Systems and Platforms Software Engineer, you'll architect and develop the runtime, low-level drivers, and systems software that run across the multi-core CPU subsystems inside our SoC and the systems that host it. You'll be the primary owner of runtime performance for the silicon product, setting delivery schedules, upholding d-Matrix's coding and methodology standards, and making the architectural calls that determine how fast and reliably our chips run in production. You'll work closely with the hardware team, hardware verification, and the rest of software engineering to get there.\n\nWhat You Will Do\n\n - Architect, document, and develop runtime software that executes across the SoC's multi-core CPU subsystems.\n\n - Own end-to-end runtime performance of the silicon product.\n\n - Design and develop low-level drivers and systems software for the platforms that host the SoC.\n\n - Design, implement, and develop distributed, scale-out systems software for AI inference infrastructure.\n\n - Set delivery schedules and ensure software meets d-Matrix coding and methodology guidelines.\n\n - Identify, analyze, and debug complex systems-level software issues.\n\n - Deliver production-quality code across the runtime and driver stack.\n\n - Collaborate with the hardware team, hardware verification team, and other software engineers throughout development.\n\nWhat You Will Bring\n\n - Bachelor's degree in computer engineering, electrical engineering, or a related field, with a minimum of 5 years of industry experience in embedded software development.\n\n - Hands-on experience with Linux system-level programming.\n\n - Strong knowledge of Linux device drivers.\n\n - Hands-on systems programming experience in C or C++.\n\n - Experience working with containers and VMs.\n\n - Strong operating systems fundamentals.\n\n - Excellent written and verbal communication skills.\n\nPreferred Qualifications\n\n - Experience with Python.\n\n - Understanding of the GPU accelerator compute stack.\n\nEqual Opportunity Employment Policy\n\nd-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.\n\nd-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation. ","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"0657a820-fc06-4c00-b389-1fc64144f7bc","title":"Technical Program Manager - Hardware/Systems, Principal","department":"Technical Program Management","team":"Technical Program Management","employmentType":"FullTime","location":"Santa Clara","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-08-06T23:53:11.267+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"Ca","addressCountry":"United States","addressLocality":"Santa Clara, Ca"}},"jobUrl":"https://jobs.ashbyhq.com/d-Matrix/0657a820-fc06-4c00-b389-1fc64144f7bc","applyUrl":"https://jobs.ashbyhq.com/d-Matrix/0657a820-fc06-4c00-b389-1fc64144f7bc/application","descriptionHtml":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.
We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI.
Location:
Hybrid, working onsite at our Santa Clara, Ca headquarters 3-5 days per week.
The Role: Principal Technical Program Manager, HW/Systems
We are seeking a Principal Technical Program Manager to drive engineering excellence across the global hardware organization. This role will focus on creating lightweight, scalable processes that enable predictable project delivery in a high-growth startup environment. You will partner with engineering leaders to translate company objectives into actionable software programs, improve planning and execution practices, and foster collaboration across geographies and technical domains. The ideal candidate should be comfortable working in a fast-paced, globally distributed environment and is passionate about delivering high-quality product on time.
What you will do:
Lead end-to-end program management across post-silicon & system hardware development cycle:
Preparation for silicon arrival: creating lab space, bring-up systems/boards, production (EVK) design, validation across, Silicon & Systems Hardware, Firmware, QA and Manufacturing engineering teams.
Firmware deployment and development leading up to demonstration of all key features of the chip and systems
Power and performance characterization, demo version delivery, leading up to kick-off of quals: silicon qual, board qual, product qual, and NPI.
Establish well-defined predictable milestones for development within the company and 3rd party partners.
Coordinate delivery across teams in North America, India, Serbia, and Australia.
Define metrics, create dashboards and reporting to track progress and program health.
Develop playbooks and best practices for program management across the organization for cross-functional deliveries.
Identify and mitigate risks to delivery schedules and quality.
Act as a liaison between hardware teams and company leadership, providing clear updates and insights.
Collaborate with Product, Hardware, and other partner teams to manage dependencies.
What you will bring:
Minimum:
10+ years of experience in IC chip and board development as an engineer, engineering manager, or technical program manager, with the last 3 or more years as technical program manager.
Excellent communication and stakeholder management skills; ability to influence without authority.
Experience in companies with complex software/hardware integration.
Proven track record managing distributed, multi-region engineering teams.
Strong understanding of the system development and qualification cycle and waterfall program management methodologies.
Experience establishing scalable processes in fast-moving engineering organizations.
Preferred:
Prior industry experience as Engineering Manager responsible for chip-to-ship execution – post-silicon to product.
Background in datacenter hardware development companies.
Experience scaling engineering teams at Series B/C stage startups.
Proficiency with JIRA, Smartsheet, and project toolchain integration.
Experience managing external dependencies and customer-driven timelines.
What we offer:
Opportunity to shape program management practices across a fast-growing AI company.
High-impact role influencing effectiveness of a global software team.
Collaboration with world-class engineers at the cutting edge of AI and system software.
Competitive compensation, equity, and professional growth opportunities.
Success Metrics:
Predictable release cycles with measurable delivery improvements.
More accurate planning and forecasting across projects.
Stronger cross-team coordination, measured by stakeholder feedback.
Scalable practices supporting growth to 300+ engineers.
Equal Opportunity Employment Policy
d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.
d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.
","descriptionPlain":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.\n\nWe value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI. \n\nLocation:\n\nHybrid, working onsite at our Santa Clara, Ca headquarters 3-5 days per week.\n\nThe Role: Principal Technical Program Manager, HW/Systems\n\nWe are seeking a Principal Technical Program Manager to drive engineering excellence across the global hardware organization. This role will focus on creating lightweight, scalable processes that enable predictable project delivery in a high-growth startup environment. You will partner with engineering leaders to translate company objectives into actionable software programs, improve planning and execution practices, and foster collaboration across geographies and technical domains. The ideal candidate should be comfortable working in a fast-paced, globally distributed environment and is passionate about delivering high-quality product on time.\n\nWhat you will do:\n\n - Lead end-to-end program management across post-silicon & system hardware development cycle:\n \n - Preparation for silicon arrival: creating lab space, bring-up systems/boards, production (EVK) design, validation across, Silicon & Systems Hardware, Firmware, QA and Manufacturing engineering teams.\n\n - Firmware deployment and development leading up to demonstration of all key features of the chip and systems\n\n - Power and performance characterization, demo version delivery, leading up to kick-off of quals: silicon qual, board qual, product qual, and NPI.\n\n - Establish well-defined predictable milestones for development within the company and 3rd party partners.\n\n - Coordinate delivery across teams in North America, India, Serbia, and Australia.\n\n - Define metrics, create dashboards and reporting to track progress and program health.\n\n - Develop playbooks and best practices for program management across the organization for cross-functional deliveries.\n\n - Identify and mitigate risks to delivery schedules and quality.\n\n - Act as a liaison between hardware teams and company leadership, providing clear updates and insights.\n\n - Collaborate with Product, Hardware, and other partner teams to manage dependencies.\n\nWhat you will bring:\n\nMinimum:\n\n - 10+ years of experience in IC chip and board development as an engineer, engineering manager, or technical program manager, with the last 3 or more years as technical program manager.\n\n - Excellent communication and stakeholder management skills; ability to influence without authority.\n\n - Experience in companies with complex software/hardware integration.\n\n - Proven track record managing distributed, multi-region engineering teams.\n\n - Strong understanding of the system development and qualification cycle and waterfall program management methodologies.\n\n - Experience establishing scalable processes in fast-moving engineering organizations.\n\nPreferred:\n\n - Prior industry experience as Engineering Manager responsible for chip-to-ship execution – post-silicon to product.\n\n - Background in datacenter hardware development companies.\n\n - Experience scaling engineering teams at Series B/C stage startups.\n\n - Proficiency with JIRA, Smartsheet, and project toolchain integration.\n\n - Experience managing external dependencies and customer-driven timelines.\n\nWhat we offer:\n\n - Opportunity to shape program management practices across a fast-growing AI company.\n\n - High-impact role influencing effectiveness of a global software team.\n\n - Collaboration with world-class engineers at the cutting edge of AI and system software.\n\n - Competitive compensation, equity, and professional growth opportunities.\n\nSuccess Metrics:\n\n - Predictable release cycles with measurable delivery improvements.\n\n - More accurate planning and forecasting across projects.\n\n - Stronger cross-team coordination, measured by stakeholder feedback.\n\n - Scalable practices supporting growth to 300+ engineers.\n\n\n\nEqual Opportunity Employment Policy\n\nd-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.\n\nd-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation. ","compensation":{"compensationTierSummary":"$196K – $300K • Offers Equity • Offers Bonus","scrapeableCompensationSalarySummary":"$196K - $300K","compensationTiers":[{"id":"61753d58-ac4b-4c62-8f4a-d9f605d38960","tierSummary":"$196K – $300K • Offers Equity • Offers Bonus","title":null,"additionalInformation":null,"components":[{"id":"2ee77505-31f7-4ede-89d9-5fe5d194cf01","summary":"$196K – $300K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":196000,"maxValue":300000},{"id":"d2b86b0e-fe45-4cad-9126-b8da31f5f475","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"d5fb0a9a-db4c-4afa-bf1a-c53a99a6afcb","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":196000,"maxValue":300000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}},{"id":"0dd92e0e-ac07-44d5-b8cf-ca1a9d18d7b5","title":"Staff Software Engineer, SIMD Kernels","department":"Software Engineering","team":"Kernels & Workloads","employmentType":"FullTime","location":"Santa Clara","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-07-28T16:08:50.164+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"Ca","addressCountry":"United States","addressLocality":"Santa Clara, Ca"}},"jobUrl":"https://jobs.ashbyhq.com/d-Matrix/0dd92e0e-ac07-44d5-b8cf-ca1a9d18d7b5","applyUrl":"https://jobs.ashbyhq.com/d-Matrix/0dd92e0e-ac07-44d5-b8cf-ca1a9d18d7b5/application","descriptionHtml":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.
We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI.
Location:
Santa Clara, CA headquarters, or any of our regional offices. Will consider remote.
The Role: Staff Software Engineer, SIMD Kernels
What you will do:
As a member of the SIMD Kernels team, you will help productize the software stack for our AI compute engine. You will develop, enhance, and maintain software kernels for ML operators—such as softmax, layer norm, and activation functions—for next‑generation AI hardware. You will also build solutions that make our SDK intuitive for developers to use and analyze performance.
You have experience building software kernels for modern hardware architectures and understand how to map algorithms and AI‑framework computational graphs onto those architectures. You’re comfortable working across the full toolchain and navigating hardware–software co‑design trade‑offs. You can deliver and scale high‑quality software quickly in a fast‑moving development environment.
What you will bring:
Minimum:
MS or PhD in computer engineering, math, physics, or a related degree with 5+ years of industry experience.
Strong grasp of computer architecture, data structures, system software, and machine learning fundamentals.
Proficient in C/C++ and Python development in Linux environment and using standard development tools.
Experience in implementing algorithms in C/C++ and Python.
Experience in implementing algorithms for specialized hardware such as FPGAs, DSPs, GPUs, AI accelerators using libraries such as CUDA, etc.
Experience in implementing operators commonly used in ML workloads—GEMMs, Convolutions, softmax, layer normalization, pooling, etc.
Self-motivated team player with a strong sense of ownership and leadership.
Preferred:
Prior startup, small team, or incubation experience.
Experience with ML frameworks such as TensorFlow and/or PyTorch.
Experience working with ML compilers and algorithms, such as MLIR, LLVM, TVM, Glow, etc.
Experience with a deep learning framework (such as PyTorch or TensorFlow) and ML models for CV, NLP, or recommendation.
Experiences in development for embedded SIMD vector processors such as Tensilica.
Work experience at a cloud provider or AI compute/subsystem company.
Equal Opportunity Employment Policy
d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.
d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.
","descriptionPlain":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.\n\nWe value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI. \n\nLocation:\n\nSanta Clara, CA headquarters, or any of our regional offices. Will consider remote.\n\nThe Role: Staff Software Engineer, SIMD Kernels\n\nWhat you will do:\n\nAs a member of the SIMD Kernels team, you will help productize the software stack for our AI compute engine. You will develop, enhance, and maintain software kernels for ML operators—such as softmax, layer norm, and activation functions—for next‑generation AI hardware. You will also build solutions that make our SDK intuitive for developers to use and analyze performance.\n\nYou have experience building software kernels for modern hardware architectures and understand how to map algorithms and AI‑framework computational graphs onto those architectures. You’re comfortable working across the full toolchain and navigating hardware–software co‑design trade‑offs. You can deliver and scale high‑quality software quickly in a fast‑moving development environment.\n\nWhat you will bring:\n\nMinimum:\n\n - MS or PhD in computer engineering, math, physics, or a related degree with 5+ years of industry experience.\n\n - Strong grasp of computer architecture, data structures, system software, and machine learning fundamentals.\n\n - Proficient in C/C++ and Python development in Linux environment and using standard development tools.\n\n - Experience in implementing algorithms in C/C++ and Python.\n\n - Experience in implementing algorithms for specialized hardware such as FPGAs, DSPs, GPUs, AI accelerators using libraries such as CUDA, etc.\n\n - Experience in implementing operators commonly used in ML workloads—GEMMs, Convolutions, softmax, layer normalization, pooling, etc.\n\n - Self-motivated team player with a strong sense of ownership and leadership.\n\nPreferred:\n\n - Prior startup, small team, or incubation experience.\n\n - Experience with ML frameworks such as TensorFlow and/or PyTorch.\n\n - Experience working with ML compilers and algorithms, such as MLIR, LLVM, TVM, Glow, etc.\n\n - Experience with a deep learning framework (such as PyTorch or TensorFlow) and ML models for CV, NLP, or recommendation.\n\n - Experiences in development for embedded SIMD vector processors such as Tensilica.\n\n - Work experience at a cloud provider or AI compute/subsystem company.\n\n\n\n\n\nEqual Opportunity Employment Policy\n\nd-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.\n\nd-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation. ","compensation":{"compensationTierSummary":"$190K – $300K • Offers Equity • Offers Bonus","scrapeableCompensationSalarySummary":"$190K - $300K","compensationTiers":[{"id":"263d30c2-d3f5-49e7-bb52-a4e586ae3897","tierSummary":"$190K – $300K • Offers Equity • Offers Bonus","title":null,"additionalInformation":null,"components":[{"id":"e9f41256-15e8-4690-a6af-db9ef745e460","summary":"$190K – $300K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":190000,"maxValue":300000},{"id":"824e4912-8afa-4121-98f5-765ec53d2890","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"12c6480d-de58-47a0-81e1-f4e9173639e6","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":190000,"maxValue":300000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}},{"id":"fc9434b7-c256-46f2-bdba-8825c515ceeb","title":"Principal Software Engineer, SDK & Lowering Stack","department":"Software Engineering","team":"Kernels & Workloads","employmentType":"FullTime","location":"Santa Clara","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-07-31T15:30:08.536+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"Ca","addressCountry":"United States","addressLocality":"Santa Clara, Ca"}},"jobUrl":"https://jobs.ashbyhq.com/d-Matrix/fc9434b7-c256-46f2-bdba-8825c515ceeb","applyUrl":"https://jobs.ashbyhq.com/d-Matrix/fc9434b7-c256-46f2-bdba-8825c515ceeb/application","descriptionHtml":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.
We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI.
Santa Clara, CA, headquarters, but open to other locations within the US/Canada.
The role: Principal Software Engineer, SDK & Lowering Stack
What you will do:
Help architect and develop the kernel authoring SDK that targets our novel Corsair dataflow architecture.
Champion software engineering best practices across the team by establishing robust CI/CD pipelines, driving automated testing, and enforcing rigorous code review processes.
Build intuitive, domain-specific APIs, determining the optimal boundaries for kernel developers and compiler teams.
Create development tools to be used in kernel authoring and modeling lowering flows.
Lead and mentor junior engineers, fostering a culture of technical excellence, accountability, and collaborative problem-solving.
Leverage systems engineering ability to understand complex interactions between hardware and software components, proposing and implementing solutions integral to the software stack.
Take ownership of delivering solutions by interacting with stakeholders, generating requirements, documenting designs, implementing, debugging, and deploying.
Build and scale software deliverables in a tight development window.
Minimum experience:
MS in Computer Engineering, Math, Physics, or a related degree with 8 years of industry experience or a PhD in Computer Engineering, Math, Physics, or a related degree with 4 years of industry experience.
Proficient in C/C++ and Python development in a Linux environment and using standard development tools.
Proven track record of driving software engineering best practices, including CI/CD integration, continuous testing, and leading comprehensive code reviews.
Deep grasp of computer architecture, data structures, system software, and machine learning fundamentals.
Demonstrated experience designing high-quality, scalable APIs and SDKs, with a comprehensive systems engineering mindset to solve end-to-end problems.
Self-motivated team player with a profound sense of ownership and leadership.
Preferred experience:
Proven experience writing and optimizing high-performance kernels targeting GPUs, TPUs, or custom ML accelerators.
Background working in High-Performance Computing (HPC) environments, managing large-scale distributed workloads and resource optimization.
Experience developing ML compilers and working with intermediate representations or algorithms (e.g., MLIR, LLVM, TVM, Glow, etc.).
Familiarity with leveraging AI-assisted coding tools to accelerate software development and elevate code quality.
Prior startup, small team, or incubation experience.
Work experience at a cloud provider or AI compute/subsystem company.
Equal Opportunity Employment Policy
d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.
d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.
","descriptionPlain":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.\n\nWe value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI. \n\n\nLOCATION:\n\nSanta Clara, CA, headquarters, but open to other locations within the US/Canada.\n\nThe role: Principal Software Engineer, SDK & Lowering Stack\n\nWhat you will do:\n\n - Help architect and develop the kernel authoring SDK that targets our novel Corsair dataflow architecture.\n\n - Champion software engineering best practices across the team by establishing robust CI/CD pipelines, driving automated testing, and enforcing rigorous code review processes.\n\n - Build intuitive, domain-specific APIs, determining the optimal boundaries for kernel developers and compiler teams.\n\n - Create development tools to be used in kernel authoring and modeling lowering flows.\n\n - Lead and mentor junior engineers, fostering a culture of technical excellence, accountability, and collaborative problem-solving.\n\n - Leverage systems engineering ability to understand complex interactions between hardware and software components, proposing and implementing solutions integral to the software stack.\n\n - Take ownership of delivering solutions by interacting with stakeholders, generating requirements, documenting designs, implementing, debugging, and deploying.\n\n - Build and scale software deliverables in a tight development window.\n\nMinimum experience:\n\n - MS in Computer Engineering, Math, Physics, or a related degree with 8 years of industry experience or a PhD in Computer Engineering, Math, Physics, or a related degree with 4 years of industry experience.\n\n - Proficient in C/C++ and Python development in a Linux environment and using standard development tools.\n\n - Proven track record of driving software engineering best practices, including CI/CD integration, continuous testing, and leading comprehensive code reviews.\n\n - Deep grasp of computer architecture, data structures, system software, and machine learning fundamentals.\n\n - Demonstrated experience designing high-quality, scalable APIs and SDKs, with a comprehensive systems engineering mindset to solve end-to-end problems.\n\n - Self-motivated team player with a profound sense of ownership and leadership.\n\nPreferred experience:\n\n - Proven experience writing and optimizing high-performance kernels targeting GPUs, TPUs, or custom ML accelerators.\n\n - Background working in High-Performance Computing (HPC) environments, managing large-scale distributed workloads and resource optimization.\n\n - Experience developing ML compilers and working with intermediate representations or algorithms (e.g., MLIR, LLVM, TVM, Glow, etc.).\n\n - Familiarity with leveraging AI-assisted coding tools to accelerate software development and elevate code quality.\n\n - Prior startup, small team, or incubation experience.\n\n - Work experience at a cloud provider or AI compute/subsystem company.\n\nEqual Opportunity Employment Policy\n\nd-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.\n\nd-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation. ","compensation":{"compensationTierSummary":"$190K – $300K • Offers Equity • Offers Bonus","scrapeableCompensationSalarySummary":"$190K - $300K","compensationTiers":[{"id":"53f2c397-1be1-40ec-aebc-707eca8d1a8c","tierSummary":"$190K – $300K • Offers Equity • Offers Bonus","title":null,"additionalInformation":null,"components":[{"id":"e785258b-5238-4ebd-beb5-0d4cfa375ddc","summary":"$190K – $300K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":190000,"maxValue":300000},{"id":"2f7118e6-02ae-4af5-8e1c-b4f0e4e0eb60","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"9188c0bd-10fc-41d0-bf3f-116460a21243","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":190000,"maxValue":300000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}},{"id":"cbe1d28c-f6f0-4c3c-b24a-d66b36f81847","title":"Principal Software Engineer, Kernels","department":"Software Engineering","team":"Kernels & Workloads","employmentType":"FullTime","location":"Santa Clara","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-07-15T19:26:20.374+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"Ca","addressCountry":"United States","addressLocality":"Santa Clara, Ca"}},"jobUrl":"https://jobs.ashbyhq.com/d-Matrix/cbe1d28c-f6f0-4c3c-b24a-d66b36f81847","applyUrl":"https://jobs.ashbyhq.com/d-Matrix/cbe1d28c-f6f0-4c3c-b24a-d66b36f81847/application","descriptionHtml":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.
We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI.
Location:
Hybrid, working onsite at our Santa Clara, CA, headquarters 3+ days per week.
The Role: Principal Software Engineer, Kernels
What you will do:
The role requires you to be part of the team that helps productize the SW stack for our AI compute engine. As part of the software team, you will be responsible for the development, enhancement, and maintenance of software kernels for next-generation AI hardware. You possess experience building software kernels for HW architectures. You possess a very strong understanding of various hardware architectures and how to map algorithms to the architecture. You understand how to map computational graphs generated by AI frameworks to the underlying architecture. You have had past experience working across all aspects of the full-stack toolchain and understand the nuances of what it takes to optimize and trade off various aspects of hardware-software co-design. You can build and scale software deliverables in a tight development window. You will work with a team of compiler experts to build out the compiler infrastructure, working closely with other software (ML and systems) and hardware (mixed signal, DSP, and CPU) experts in the company.
What you will bring:
Minimum:
MS in computer engineering, math, physics, or a related degree with 10+ years of industry experience or a PhD in computer engineering, math, physics, or a related degree with 5+ years of industry experience.
Strong grasp of computer architecture, data structures, system software, and machine learning fundamentals.
Proficient in C/C++ and Python development in Linux environments and using standard development tools.
Experience implementing algorithms in high-level languages such as C/C++ and Python.
Experience implementing algorithms for specialized hardware such as FPGAs, DSPs, GPUs, and AI accelerators using libraries such as CUDA, etc.
Experience in implementing operators commonly used in ML workloads—GEMMs, Convolutions, BLAS, SIMD operators for operations like softmax, layer normalization, pooling, etc.
Experience with development for embedded SIMD vector processors such as Tensilica.
Self-motivated team player with a strong sense of ownership and leadership.
Preferred:
Prior startup, small team, or incubation experience.
Experience with ML frameworks such as TensorFlow and/orPyTorch.
Experience working with ML compilers and algorithms, such as MLIR, LLVM, TVM, Glow, etc.
Experience with a deep learning framework (such as PyTorch or TensorFlow) and ML models for CV, NLP, or recommendation.
Work experience at a cloud provider or AI compute/subsystem company.
Equal Opportunity Employment Policy
d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.
d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.
","descriptionPlain":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.\n\nWe value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI. \n\nLocation:\n\nHybrid, working onsite at our Santa Clara, CA, headquarters 3+ days per week.\n\nThe Role: Principal Software Engineer, Kernels\n\nWhat you will do:\n\nThe role requires you to be part of the team that helps productize the SW stack for our AI compute engine. As part of the software team, you will be responsible for the development, enhancement, and maintenance of software kernels for next-generation AI hardware. You possess experience building software kernels for HW architectures. You possess a very strong understanding of various hardware architectures and how to map algorithms to the architecture. You understand how to map computational graphs generated by AI frameworks to the underlying architecture. You have had past experience working across all aspects of the full-stack toolchain and understand the nuances of what it takes to optimize and trade off various aspects of hardware-software co-design. You can build and scale software deliverables in a tight development window. You will work with a team of compiler experts to build out the compiler infrastructure, working closely with other software (ML and systems) and hardware (mixed signal, DSP, and CPU) experts in the company.\n\nWhat you will bring:\n\nMinimum:\n\n - MS in computer engineering, math, physics, or a related degree with 10+ years of industry experience or a PhD in computer engineering, math, physics, or a related degree with 5+ years of industry experience.\n\n - Strong grasp of computer architecture, data structures, system software, and machine learning fundamentals.\n\n - Proficient in C/C++ and Python development in Linux environments and using standard development tools.\n\n - Experience implementing algorithms in high-level languages such as C/C++ and Python.\n\n - Experience implementing algorithms for specialized hardware such as FPGAs, DSPs, GPUs, and AI accelerators using libraries such as CUDA, etc.\n\n - Experience in implementing operators commonly used in ML workloads—GEMMs, Convolutions, BLAS, SIMD operators for operations like softmax, layer normalization, pooling, etc.\n\n - Experience with development for embedded SIMD vector processors such as Tensilica.\n\n - Self-motivated team player with a strong sense of ownership and leadership.\n\nPreferred:\n\n - Prior startup, small team, or incubation experience.\n\n - Experience with ML frameworks such as TensorFlow and/orPyTorch.\n\n - Experience working with ML compilers and algorithms, such as MLIR, LLVM, TVM, Glow, etc.\n\n - Experience with a deep learning framework (such as PyTorch or TensorFlow) and ML models for CV, NLP, or recommendation.\n\n - Work experience at a cloud provider or AI compute/subsystem company.\n\nEqual Opportunity Employment Policy\n\nd-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.\n\nd-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation. ","compensation":{"compensationTierSummary":"$195K – $285K • Offers Equity • Offers Bonus","scrapeableCompensationSalarySummary":"$195K - $285K","compensationTiers":[{"id":"7f8317f4-c732-456f-b878-3eddce3d58fb","tierSummary":"$195K – $285K • Offers Equity • Offers Bonus","title":"L6","additionalInformation":null,"components":[{"id":"08c4433d-1030-4b91-8709-5b50ac6bd28d","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"01947f51-49ab-4dfb-be3e-c371a4e90222","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"3f792613-9975-4b33-930a-0fed28696d9c","summary":"$195K – $285K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":195000,"maxValue":285000}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":195000,"maxValue":285000}]}},{"id":"b11415bd-b6bc-4c9c-aa8c-f057f437fb7b","title":"Sr. Staff Power Performance Architect","department":"Hardware Engineering","team":"Silicon Design and Implementation","employmentType":"FullTime","location":"Santa Clara","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-09-13T19:56:43.955+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"Ca","addressCountry":"United States","addressLocality":"Santa Clara, Ca"}},"jobUrl":"https://jobs.ashbyhq.com/d-Matrix/b11415bd-b6bc-4c9c-aa8c-f057f437fb7b","applyUrl":"https://jobs.ashbyhq.com/d-Matrix/b11415bd-b6bc-4c9c-aa8c-f057f437fb7b/application","descriptionHtml":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.
We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI.
d-Matrix is looking for a Senior Staff Power Performance Architect to own pre-silicon power estimation across our next-generation AI accelerators. In this role, you will drive both RTL-level and physical-design-level power estimation, and build an architectural power estimation tool that models power from system configuration and die-level metrics for AI workloads. You will partner closely with front-end architects, DV engineers, and backend design teams to identify power activity windows, define performance monitoring requirements, and translate that analysis into hardware capability improvements and die-level design changes. This role also contributes directly to micro-architecture and RTL design, verification, and silicon bring-up, making it central to how d-Matrix balances performance and power efficiency at the silicon level.
Own pre-silicon power estimation for design blocks, spanning both RTL-level and physical-design-level estimation.
Partner with front-end and DV engineers to identify power activity windows, and work with the RTL team to implement estimation feedback and optimize power.
Build an architectural power estimation tool for AI workloads that computes power from system configuration and die-level metrics, including workload profiling based on memory size, bandwidth, and gate counts of compute/memory blocks.
Collaborate with frontend architects and backend design to define performance monitor availability, system requirements, and usage, then drive that analysis into hardware capability improvements and die-level design modifications.
Lead micro-architecture and RTL design, synthesis, and logic/physical power-performance verification using leading-edge CAD tools and semiconductor process technologies.
Design and implement performance-enabling and power-saving/monitoring functions that support efficient design, test, and debug, and participate in silicon bring-up and validation.
8+ years of relevant experience in IC power/performance architecture, RTL, or physical design, with a Master's degree in Electrical Engineering, Computer Engineering, or Computer Science.
Solid understanding of power, performance, micro-architecture, RTL, and physical design in the context of digital system and IC design, including the full IC design flow (Arch → uarch → RTL → Schematic → Layout → Verification → Fabrication → HVM).
Familiarity with at least one EDA tool for power estimation.
Ability to move fluidly between RTL, physical design, and automation, including building script utilities to improve design execution productivity across the design team.
Programming proficiency in TCL and Python, with experience using libraries, APIs, data parsing, and algorithmic thinking.
Self-motivated with a fast, iterative approach to design work, sound engineering judgment, and a bias toward action.
Exposure to power estimation and performance metrics such as TDP, PMAX, EDP, Peak, and Average.
Familiarity with power/frequency scaling techniques (DFS, DVFS, AFS, AVFS).
Familiarity with power delivery network (PDN) analysis, including resonance, impedance (Z(f)), and voltage droop analysis.
Equal Opportunity Employment Policy
d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.
d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.
","descriptionPlain":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.\n\nWe value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI. \n\n\n\n\nROLE OVERVIEW\n\nd-Matrix is looking for a Senior Staff Power Performance Architect to own pre-silicon power estimation across our next-generation AI accelerators. In this role, you will drive both RTL-level and physical-design-level power estimation, and build an architectural power estimation tool that models power from system configuration and die-level metrics for AI workloads. You will partner closely with front-end architects, DV engineers, and backend design teams to identify power activity windows, define performance monitoring requirements, and translate that analysis into hardware capability improvements and die-level design changes. This role also contributes directly to micro-architecture and RTL design, verification, and silicon bring-up, making it central to how d-Matrix balances performance and power efficiency at the silicon level.\n\n\nWHAT YOU WILL DO\n\n - Own pre-silicon power estimation for design blocks, spanning both RTL-level and physical-design-level estimation.\n\n - Partner with front-end and DV engineers to identify power activity windows, and work with the RTL team to implement estimation feedback and optimize power.\n\n - Build an architectural power estimation tool for AI workloads that computes power from system configuration and die-level metrics, including workload profiling based on memory size, bandwidth, and gate counts of compute/memory blocks.\n\n - Collaborate with frontend architects and backend design to define performance monitor availability, system requirements, and usage, then drive that analysis into hardware capability improvements and die-level design modifications.\n\n - Lead micro-architecture and RTL design, synthesis, and logic/physical power-performance verification using leading-edge CAD tools and semiconductor process technologies.\n\n - Design and implement performance-enabling and power-saving/monitoring functions that support efficient design, test, and debug, and participate in silicon bring-up and validation.\n\n\nWHAT YOU WILL BRING\n\n - 8+ years of relevant experience in IC power/performance architecture, RTL, or physical design, with a Master's degree in Electrical Engineering, Computer Engineering, or Computer Science.\n\n - Solid understanding of power, performance, micro-architecture, RTL, and physical design in the context of digital system and IC design, including the full IC design flow (Arch → uarch → RTL → Schematic → Layout → Verification → Fabrication → HVM).\n\n - Familiarity with at least one EDA tool for power estimation.\n\n - Ability to move fluidly between RTL, physical design, and automation, including building script utilities to improve design execution productivity across the design team.\n\n - Programming proficiency in TCL and Python, with experience using libraries, APIs, data parsing, and algorithmic thinking.\n\n - Self-motivated with a fast, iterative approach to design work, sound engineering judgment, and a bias toward action.\n\n\nPREFERRED QUALIFICATIONS\n\n - Exposure to power estimation and performance metrics such as TDP, PMAX, EDP, Peak, and Average.\n\n - Familiarity with power/frequency scaling techniques (DFS, DVFS, AFS, AVFS).\n\n - Familiarity with power delivery network (PDN) analysis, including resonance, impedance (Z(f)), and voltage droop analysis.\n\nEqual Opportunity Employment Policy\n\nd-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.\n\nd-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation. ","compensation":{"compensationTierSummary":"$165K – $265K • Offers Equity • Offers Bonus","scrapeableCompensationSalarySummary":"$165K - $265K","compensationTiers":[{"id":"f82cf833-3063-44e3-ab49-57c1fe98ef17","tierSummary":"$165K – $265K • Offers Equity • Offers Bonus","title":null,"additionalInformation":null,"components":[{"id":"5022f580-5065-4d8e-bbe3-ae0498c7169e","summary":"$165K – $265K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":165000,"maxValue":265000},{"id":"5d7c1a31-a821-4416-9a4f-fff7dd4d609a","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"3ff2f3cd-8b81-497e-8831-c2f52e81f3fa","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":165000,"maxValue":265000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}},{"id":"0f6cb749-c100-4d88-b574-45a4e4c6b8c4","title":"Sr. Staff Mechanical Engineer","department":"Hardware Engineering","team":"Hardware Engineering","employmentType":"FullTime","location":"Santa Clara","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-09-22T03:33:07.192+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"Ca","addressCountry":"United States","addressLocality":"Santa Clara, Ca"}},"jobUrl":"https://jobs.ashbyhq.com/d-Matrix/0f6cb749-c100-4d88-b574-45a4e4c6b8c4","applyUrl":"https://jobs.ashbyhq.com/d-Matrix/0f6cb749-c100-4d88-b574-45a4e4c6b8c4/application","descriptionHtml":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.
We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI.
Role Overview
d-Matrix is seeking an experienced Mechanical Engineer to lead rack-scale mechanical design for our AI inference hardware platform, from chip/package to full system level. In this role, you'll own mechanical systems through their entire lifecycle — from concept and validation to mass production — working closely with thermal, electrical, software, and systems engineering teams. You'll bring deep expertise in OCP (Open Compute Project) specifications, chassis and sheet metal design, and supplier/ODM management to help scale our hardware in a fast-paced startup environment. This is a hands-on role for someone who thrives working across disciplines and can drive mechanical programs from first concept through high-volume manufacturing.
This role owns mechanical systems at the rack, enclosure, and cross-program level, including oversight of liquid-cooled rack architectures. It partners closely with the Card & Sub-Chassis Mechanical Engineer, who owns card-level design and the MCM-to-cold-plate interface within the Monza chassis — this role is not expected to duplicate that card/cold-plate ownership, but should have enough liquid-cooling fluency to review and integrate that work at the rack level.
What You Will Do
Lead mechanical design for our AI inference hardware platform at rack scale, in compliance with OCP specifications.
Design and validate chassis mechanical systems, sheet metal enclosures, cooling architectures, and high-power connections.
Own the full product lifecycle — from design and validation through NPI to mass production.
Conduct mechanical reliability testing (shock, vibration, thermal cycling) and lead 3D modeling, FEA, and tolerance analysis to validate designs for manufacturability.
Partner with suppliers, ODMs, CMs, and JDMs to develop custom mechanical/thermal components and manage manufacturing support through production ramp.
Debug and resolve quality issues surfaced during NPI and production, driving root-cause analysis and corrective action.
Review and sign off on liquid-cooled cold plate and manifold integration at the rack level (design owned by the Card & Sub-Chassis Mechanical Engineer), ensuring compatibility with CDU interfaces and facility water connections.
Develop specifications and test procedures for reliability and performance and mentor engineers across the design lifecycle.
Evaluate new technologies and methodologies to improve mechanical and thermal performance and ensure compliance with quality standards through product launch.
What You Will Bring
Bachelor’s degree in mechanical engineering or a related field.
10+ years of industry experience in mechanical design, simulation, and validation for IT hardware, with demonstrated technical leadership of full rack-scale programs.
Hands-on experience with OCP specifications and rack-scale system design.
Strong background in chassis mechanical design, sheet metal design/fabrication, and design-for-manufacturability (DFM) at high volume.
Experience running and interpreting shock and vibration testing.
Proven track record taking designs from concept through validation to mass production (NPI to MP).
Direct experience working with suppliers, ODMs, CMs, and/or JDMs on hardware development.
Strong debugging and root-cause analysis skills for mechanical/quality issues in production environments.
Proficiency in CAD tools and FEA.
Expertise in GD&T and tolerance stack-up analysis, and materials selection for structural and thermal performance in chassis/enclosure design.
Self-driven and detail-oriented, comfortable working independently or across engineering teams.
Preferred Qualifications
Master’s degree in mechanical engineering or related field.
15+ years of industry experience in mechanical design, simulation, and validation for IT hardware.
Experience with data center hardware or high-performance computing systems at scale.
Familiarity with liquid-cooled rack architectures (cold plates, manifolds, CDUs, facility water interfaces) sufficient to review and integrate card-level cooling designs at the rack level.
Direct hands-on cold plate or manifold design experience, beyond rack-level integration.
Deep understanding of reliability testing, failure analysis, and thermal stress modeling for electronic components.
Equal Opportunity Employment Policy
d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.
d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.
","descriptionPlain":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.\n\nWe value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI. \n\n\n\nRole Overview\n\nd-Matrix is seeking an experienced Mechanical Engineer to lead rack-scale mechanical design for our AI inference hardware platform, from chip/package to full system level. In this role, you'll own mechanical systems through their entire lifecycle — from concept and validation to mass production — working closely with thermal, electrical, software, and systems engineering teams. You'll bring deep expertise in OCP (Open Compute Project) specifications, chassis and sheet metal design, and supplier/ODM management to help scale our hardware in a fast-paced startup environment. This is a hands-on role for someone who thrives working across disciplines and can drive mechanical programs from first concept through high-volume manufacturing.\n\nThis role owns mechanical systems at the rack, enclosure, and cross-program level, including oversight of liquid-cooled rack architectures. It partners closely with the Card & Sub-Chassis Mechanical Engineer, who owns card-level design and the MCM-to-cold-plate interface within the Monza chassis — this role is not expected to duplicate that card/cold-plate ownership, but should have enough liquid-cooling fluency to review and integrate that work at the rack level.\n\nWhat You Will Do\n\n - Lead mechanical design for our AI inference hardware platform at rack scale, in compliance with OCP specifications.\n\n - Design and validate chassis mechanical systems, sheet metal enclosures, cooling architectures, and high-power connections.\n\n - Own the full product lifecycle — from design and validation through NPI to mass production.\n\n - Conduct mechanical reliability testing (shock, vibration, thermal cycling) and lead 3D modeling, FEA, and tolerance analysis to validate designs for manufacturability.\n\n - Partner with suppliers, ODMs, CMs, and JDMs to develop custom mechanical/thermal components and manage manufacturing support through production ramp.\n\n - Debug and resolve quality issues surfaced during NPI and production, driving root-cause analysis and corrective action.\n\n - Review and sign off on liquid-cooled cold plate and manifold integration at the rack level (design owned by the Card & Sub-Chassis Mechanical Engineer), ensuring compatibility with CDU interfaces and facility water connections.\n\n - Develop specifications and test procedures for reliability and performance and mentor engineers across the design lifecycle.\n\n - Evaluate new technologies and methodologies to improve mechanical and thermal performance and ensure compliance with quality standards through product launch.\n\nWhat You Will Bring\n\n - Bachelor’s degree in mechanical engineering or a related field.\n\n - 10+ years of industry experience in mechanical design, simulation, and validation for IT hardware, with demonstrated technical leadership of full rack-scale programs.\n\n - Hands-on experience with OCP specifications and rack-scale system design.\n\n - Strong background in chassis mechanical design, sheet metal design/fabrication, and design-for-manufacturability (DFM) at high volume.\n\n - Experience running and interpreting shock and vibration testing.\n\n - Proven track record taking designs from concept through validation to mass production (NPI to MP).\n\n - Direct experience working with suppliers, ODMs, CMs, and/or JDMs on hardware development.\n\n - Strong debugging and root-cause analysis skills for mechanical/quality issues in production environments.\n\n - Proficiency in CAD tools and FEA.\n\n - Expertise in GD&T and tolerance stack-up analysis, and materials selection for structural and thermal performance in chassis/enclosure design.\n\n - Self-driven and detail-oriented, comfortable working independently or across engineering teams.\n\nPreferred Qualifications\n\n - Master’s degree in mechanical engineering or related field.\n\n - 15+ years of industry experience in mechanical design, simulation, and validation for IT hardware.\n\n - Experience with data center hardware or high-performance computing systems at scale.\n\n - Familiarity with liquid-cooled rack architectures (cold plates, manifolds, CDUs, facility water interfaces) sufficient to review and integrate card-level cooling designs at the rack level.\n\n - Direct hands-on cold plate or manifold design experience, beyond rack-level integration.\n\n - Deep understanding of reliability testing, failure analysis, and thermal stress modeling for electronic components.\n\nEqual Opportunity Employment Policy\n\nd-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.\n\nd-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation. ","compensation":{"compensationTierSummary":"$175K – $265K • Offers Equity • Offers Bonus","scrapeableCompensationSalarySummary":"$175K - $265K","compensationTiers":[{"id":"bd7c8ce4-3a42-48e6-a64d-e1a70b75a80e","tierSummary":"$175K – $265K • Offers Equity • Offers Bonus","title":null,"additionalInformation":null,"components":[{"id":"0aedb86f-9d31-42b5-84db-79aae6d36983","summary":"$175K – $265K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":175000,"maxValue":265000},{"id":"6d7e65fa-5b29-4d2b-b564-c97e7e05a046","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"dc09d316-3e53-45c5-abcc-de779311940e","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":175000,"maxValue":265000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}},{"id":"0cebe4e7-c588-4d9e-871f-3e3a5400ff79","title":"Senior Staff Software Engineer - Kernels","department":"Software Engineering","team":"Kernels & Workloads","employmentType":"FullTime","location":"Belgrade","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-03-31T14:07:40.972+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"Serbia","streetAddress":"Bulevar Milutina Milankovića 7Đ, Beograd 11070, Serbia","addressCountry":"Serbia","addressLocality":"Belgrade"}},"jobUrl":"https://jobs.ashbyhq.com/d-Matrix/0cebe4e7-c588-4d9e-871f-3e3a5400ff79","applyUrl":"https://jobs.ashbyhq.com/d-Matrix/0cebe4e7-c588-4d9e-871f-3e3a5400ff79/application","descriptionHtml":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.
We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI.
The Role: Senior Staff Software Engineer - Kernels
Location:
Hybrid, working onsite at our Belgrade, Serbia, office 3-5 days per week.
What you will do:
The role requires you to be part of the team that helps productize the SW stack for our AI compute engine. As part of the software team, you will be responsible for the development, enhancement, and maintenance of software kernels for next-generation AI hardware. You possess experience building software kernels for HW architectures. You possess a very strong understanding of various hardware architectures and how to map algorithms to the architecture. You understand how to map computational graphs generated by AI frameworks to the underlying architecture. You have had past experience working across all aspects of the full-stack toolchain and understand the nuances of what it takes to optimize and trade off various aspects of hardware-software co-design. You can build and scale software deliverables in a tight development window. You will work with a team of compiler experts to build out the compiler infrastructure, working closely with other software (ML and systems) and hardware (mixed signal, DSP, and CPU) experts in the company.
What you will bring:
Minimum:
MS in computer engineering, math, physics, or a related degree with 10+ years of industry experience or a PhD in computer engineering, math, physics, or a related degree with 1+ years of industry experience.
Strong grasp of computer architecture, data structures, system software, and machine learning fundamentals.
Proficient in C/C++ and Python development in Linux environments and using standard development tools.
Experience implementing algorithms in high-level languages such as C/C++ and Python.
Experience implementing algorithms for specialized hardware such as FPGAs, DSPs, GPUs, and AI accelerators using libraries such as CUDA, etc.
Experience in implementing operators commonly used in ML workloads—GEMMs, Convolutions, BLAS, SIMD operators for operations like softmax, layer normalization, pooling, etc.
Experience with development for embedded SIMD vector processors such as Tensilica.
Self-motivated team player with a strong sense of ownership and leadership.
Preferred:
Prior startup, small team, or incubation experience.
Experience with ML frameworks such as TensorFlow and/or PyTorch.
Experience working with ML compilers and algorithms, such as MLIR, LLVM, TVM, Glow, etc.
Experience with a deep learning framework (such as PyTorch or TensorFlow) and ML models for CV, NLP, or recommendation.
Work experience at a cloud provider or AI compute/subsystem company.
Equal Opportunity Employment Policy
d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.
d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.
","descriptionPlain":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.\n\nWe value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI. \n\nThe Role: Senior Staff Software Engineer - Kernels\n\nLocation:\n\nHybrid, working onsite at our Belgrade, Serbia, office 3-5 days per week.\n\nWhat you will do:\n\nThe role requires you to be part of the team that helps productize the SW stack for our AI compute engine. As part of the software team, you will be responsible for the development, enhancement, and maintenance of software kernels for next-generation AI hardware. You possess experience building software kernels for HW architectures. You possess a very strong understanding of various hardware architectures and how to map algorithms to the architecture. You understand how to map computational graphs generated by AI frameworks to the underlying architecture. You have had past experience working across all aspects of the full-stack toolchain and understand the nuances of what it takes to optimize and trade off various aspects of hardware-software co-design. You can build and scale software deliverables in a tight development window. You will work with a team of compiler experts to build out the compiler infrastructure, working closely with other software (ML and systems) and hardware (mixed signal, DSP, and CPU) experts in the company.\n\nWhat you will bring:\n\nMinimum:\n\n - MS in computer engineering, math, physics, or a related degree with 10+ years of industry experience or a PhD in computer engineering, math, physics, or a related degree with 1+ years of industry experience.\n\n - Strong grasp of computer architecture, data structures, system software, and machine learning fundamentals.\n\n - Proficient in C/C++ and Python development in Linux environments and using standard development tools.\n\n - Experience implementing algorithms in high-level languages such as C/C++ and Python.\n\n - Experience implementing algorithms for specialized hardware such as FPGAs, DSPs, GPUs, and AI accelerators using libraries such as CUDA, etc.\n\n - Experience in implementing operators commonly used in ML workloads—GEMMs, Convolutions, BLAS, SIMD operators for operations like softmax, layer normalization, pooling, etc.\n\n - Experience with development for embedded SIMD vector processors such as Tensilica.\n\n - Self-motivated team player with a strong sense of ownership and leadership.\n\nPreferred:\n\n - Prior startup, small team, or incubation experience.\n\n - Experience with ML frameworks such as TensorFlow and/or PyTorch.\n\n - Experience working with ML compilers and algorithms, such as MLIR, LLVM, TVM, Glow, etc.\n\n - Experience with a deep learning framework (such as PyTorch or TensorFlow) and ML models for CV, NLP, or recommendation.\n\n - Work experience at a cloud provider or AI compute/subsystem company.\n\nEqual Opportunity Employment Policy\n\nd-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.\n\nd-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation. ","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"5939fa8c-43a6-42d6-8e11-12d7c1a45c23","title":"Head of Talent Acquisition","department":"G&A","team":"Human Resources","employmentType":"FullTime","location":"Santa Clara","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-10-16T23:20:10.583+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"Ca","addressCountry":"United States","addressLocality":"Santa Clara, Ca"}},"jobUrl":"https://jobs.ashbyhq.com/d-Matrix/5939fa8c-43a6-42d6-8e11-12d7c1a45c23","applyUrl":"https://jobs.ashbyhq.com/d-Matrix/5939fa8c-43a6-42d6-8e11-12d7c1a45c23/application","descriptionHtml":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.
We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI.
Role Overview
d-Matrix is building the team behind the next era of AI inference, and the Head of Talent Acquisition will lead that effort. Reporting to the CHRO and serving on the HR leadership team, you will own global talent attraction, assessment, selection, and recruiting execution across the U.S., Canada, Australia, India, Serbia, and emerging markets in Asia and beyond. You will elevate our employer brand, raise talent density, and personally close exceptional technical and leadership talent in the competitive AI and semiconductor market. You will partner with executives, hiring leaders, and the HR leadership team to deliver an outstanding candidate-to-employee experience.
What You Will Do
Define and execute a global talent acquisition strategy aligned to business priorities and growth.
Build a distinctive employer value proposition and candidate narrative, and amplify d-Matrix’s mission and culture through talent marketing, networks, and proactive outreach.
Lead pivotal technical and leadership searches personally, including influencing candidates, navigating competing offers, and closing.
Raise talent density by partnering with leaders on success profiles, hiring standards, and structured, evidence-based interviewing, assessment, calibration, and selection.
Lead and develop recruiters and sourcers, and manage agencies, executive search firms, contract partners, budgets, and recruiting operations.
Own recruiting dashboards and KPIs, including funnel conversion, hiring velocity, quality of hire, source effectiveness, and candidate experience, and use the insights to improve outcomes.
Deliver regular executive updates on hiring progress, talent-market intelligence, risks, and decisions, and hold leaders accountable for timely, high-quality hiring.
Own onboarding and the internship program, and use recruiting technology, automation, and AI to scale the function.
What You Will Bring
10+ years of progressive talent acquisition experience, including leadership in high-growth technology.
Bachelor’s degree or equivalent practical experience.
Track record of scaling recruiting capabilities in fast-moving environments.
Proven ability to attract, assess, negotiate with, and close technical and leadership talent against well-resourced competitors.
Experience building an employer value proposition and implementing structured, fair selection practices that raise talent density.
Executive presence and the credibility to advise and challenge C-suite and technical leaders, with strong business acumen and communication skills.
Experience leading recruiters, sourcers, and external partners, with strong command of recruiting analytics, dashboards, ATS technology, and global recruiting operations.
Preferred Qualifications
Experience leading recruiting across multiple international markets and supporting geographic expansion.
Experience in AI, semiconductors, hardware, infrastructure, or adjacent deep technology.
Track record of differentiating an emerging technology company in competitive talent markets.
Familiarity with Ashby.
Equal Opportunity Employment Policy
d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.
d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.
","descriptionPlain":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.\n\nWe value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI. \n\n\n\nRole Overview\n\nd-Matrix is building the team behind the next era of AI inference, and the Head of Talent Acquisition will lead that effort. Reporting to the CHRO and serving on the HR leadership team, you will own global talent attraction, assessment, selection, and recruiting execution across the U.S., Canada, Australia, India, Serbia, and emerging markets in Asia and beyond. You will elevate our employer brand, raise talent density, and personally close exceptional technical and leadership talent in the competitive AI and semiconductor market. You will partner with executives, hiring leaders, and the HR leadership team to deliver an outstanding candidate-to-employee experience.\n\nWhat You Will Do\n\n - Define and execute a global talent acquisition strategy aligned to business priorities and growth.\n\n - Build a distinctive employer value proposition and candidate narrative, and amplify d-Matrix’s mission and culture through talent marketing, networks, and proactive outreach.\n\n - Lead pivotal technical and leadership searches personally, including influencing candidates, navigating competing offers, and closing.\n\n - Raise talent density by partnering with leaders on success profiles, hiring standards, and structured, evidence-based interviewing, assessment, calibration, and selection.\n\n - Lead and develop recruiters and sourcers, and manage agencies, executive search firms, contract partners, budgets, and recruiting operations.\n\n - Own recruiting dashboards and KPIs, including funnel conversion, hiring velocity, quality of hire, source effectiveness, and candidate experience, and use the insights to improve outcomes.\n\n - Deliver regular executive updates on hiring progress, talent-market intelligence, risks, and decisions, and hold leaders accountable for timely, high-quality hiring.\n\n - Own onboarding and the internship program, and use recruiting technology, automation, and AI to scale the function.\n\nWhat You Will Bring\n\n - 10+ years of progressive talent acquisition experience, including leadership in high-growth technology.\n\n - Bachelor’s degree or equivalent practical experience.\n\n - Track record of scaling recruiting capabilities in fast-moving environments.\n\n - Proven ability to attract, assess, negotiate with, and close technical and leadership talent against well-resourced competitors.\n\n - Experience building an employer value proposition and implementing structured, fair selection practices that raise talent density.\n\n - Executive presence and the credibility to advise and challenge C-suite and technical leaders, with strong business acumen and communication skills.\n\n - Experience leading recruiters, sourcers, and external partners, with strong command of recruiting analytics, dashboards, ATS technology, and global recruiting operations.\n\nPreferred Qualifications\n\n - Experience leading recruiting across multiple international markets and supporting geographic expansion.\n\n - Experience in AI, semiconductors, hardware, infrastructure, or adjacent deep technology.\n\n - Track record of differentiating an emerging technology company in competitive talent markets.\n\n - Familiarity with Ashby.\n\nEqual Opportunity Employment Policy\n\nd-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.\n\nd-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation. ","compensation":{"compensationTierSummary":"$220K – $280K • Offers Equity • Offers Bonus","scrapeableCompensationSalarySummary":"$220K - $280K","compensationTiers":[{"id":"84561db4-60a6-47f9-9a24-391e46e8b391","tierSummary":"$220K – $280K • Offers Equity • Offers Bonus","title":null,"additionalInformation":null,"components":[{"id":"716963e5-9752-4c93-84c2-525e1695c22b","summary":"$220K – $280K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":220000,"maxValue":280000},{"id":"29fdfc62-ee21-4c3b-9bf6-94d625751380","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"a5b35ff6-07ca-4140-abfa-30332f5a9038","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":220000,"maxValue":280000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}},{"id":"7c8d70c9-0b28-47e0-b9ff-dc3fd082f5d1","title":"Principal Hardware Systems Engineer","department":"Systems Engineering","team":"Systems Engineering","employmentType":"FullTime","location":"Santa Clara","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-04-01T20:29:26.800+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"Ca","addressCountry":"United States","addressLocality":"Santa Clara, Ca"}},"jobUrl":"https://jobs.ashbyhq.com/d-Matrix/7c8d70c9-0b28-47e0-b9ff-dc3fd082f5d1","applyUrl":"https://jobs.ashbyhq.com/d-Matrix/7c8d70c9-0b28-47e0-b9ff-dc3fd082f5d1/application","descriptionHtml":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.
We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI.
Role Overview
d-Matrix is looking for a Principal Systems Hardware Engineer to own system architecture end-to-end — from concept through specification, design review, and production deployment. In this role, you'll act as the technical anchor for hardware decisions across interconnect, board, chassis, and rack-scale design, writing the specifications that partners and internal teams build against. You'll work independently against your objectives — setting technical direction without needing explicit guidance — while partnering closely with cross-functional teams and software groups to align hardware decisions with performance and workload needs. You'll review partner and vendor designs against requirements, surface misalignment and schedule risk early, and drive trade-off analysis across adjacent domains like interconnect, power, thermal, and mechanical. You'll also help establish the spec standards, review practices, and AI-assisted workflows that shape how d-Matrix builds systems at scale.
What You Will Do
Own system architecture end-to-end — from concept through specification, design review, and production deployment — as the technical lead across teams and partners
Author system, board, and rack specifications, and review partner designs against them — surfacing misalignment and schedule risk early
Set direction for interconnect architecture — scale-up and scale-out fabrics, NICs, switches, optics, and topology — partnering with domain specialists to execute
Set direction for board, chassis, and system architecture — component placement, PCB design, connectors, power, and thermal — at chassis, rack, and data-hall scale, partnering with domain specialists to execute
Evaluate competing design options through trade-off analysis and \"what-if\" scenario planning
Define validation, bring-up, and qualification strategy for new platforms
Partner with software teams to align hardware decisions with performance and workload needs, and help establish spec standards and review practices for the org
What You Will Bring
8+ years of experience in hardware systems architecture, including deep, hands-on expertise in one core domain (interconnect, power, or thermal) for large-scale compute or networking systems
Experience owning hardware system architecture at scale (machine, rack, row, or cluster) — from specification through bring-up and high-volume production deployment
Experience reviewing partner designs and holding vendors to specification
Ability to reason about trade-offs across adjacent domains (interconnect, power, thermal, mechanical)
Track record of technical leadership — owning directional decisions and driving alignment across teams and partners
Degree in EE, CE, ME, CS, or equivalent
Preferred Qualifications
Experience in hardware systems architecture for hyperscale, HPC, AI/ML, or high-end networking platforms
Experience with AI accelerator systems and their scale-up/scale-out fabrics
Chip-package-system co-design experience
Expertise in one or more of: high-speed SerDes/PCIe/CXL/optics; BMC/firmware/secure boot; 48V/HVDC power delivery/liquid cooling; fleet-scale RAS; signal and power integrity
Experience establishing new engineering functions or practices
Equal Opportunity Employment Policy
d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.
d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.
","descriptionPlain":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.\n\nWe value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI. \n\n\n\nRole Overview\n\nd-Matrix is looking for a Principal Systems Hardware Engineer to own system architecture end-to-end — from concept through specification, design review, and production deployment. In this role, you'll act as the technical anchor for hardware decisions across interconnect, board, chassis, and rack-scale design, writing the specifications that partners and internal teams build against. You'll work independently against your objectives — setting technical direction without needing explicit guidance — while partnering closely with cross-functional teams and software groups to align hardware decisions with performance and workload needs. You'll review partner and vendor designs against requirements, surface misalignment and schedule risk early, and drive trade-off analysis across adjacent domains like interconnect, power, thermal, and mechanical. You'll also help establish the spec standards, review practices, and AI-assisted workflows that shape how d-Matrix builds systems at scale.\n\n\n\nWhat You Will Do\n\n - Own system architecture end-to-end — from concept through specification, design review, and production deployment — as the technical lead across teams and partners\n\n - Author system, board, and rack specifications, and review partner designs against them — surfacing misalignment and schedule risk early\n\n - Set direction for interconnect architecture — scale-up and scale-out fabrics, NICs, switches, optics, and topology — partnering with domain specialists to execute\n\n - Set direction for board, chassis, and system architecture — component placement, PCB design, connectors, power, and thermal — at chassis, rack, and data-hall scale, partnering with domain specialists to execute\n\n - Evaluate competing design options through trade-off analysis and \"what-if\" scenario planning\n\n - Define validation, bring-up, and qualification strategy for new platforms\n\n - Partner with software teams to align hardware decisions with performance and workload needs, and help establish spec standards and review practices for the org\n\nWhat You Will Bring\n\n - 8+ years of experience in hardware systems architecture, including deep, hands-on expertise in one core domain (interconnect, power, or thermal) for large-scale compute or networking systems\n\n - Experience owning hardware system architecture at scale (machine, rack, row, or cluster) — from specification through bring-up and high-volume production deployment\n\n - Experience reviewing partner designs and holding vendors to specification\n\n - Ability to reason about trade-offs across adjacent domains (interconnect, power, thermal, mechanical)\n\n - Track record of technical leadership — owning directional decisions and driving alignment across teams and partners\n\n - Degree in EE, CE, ME, CS, or equivalent\n\nPreferred Qualifications\n\n - Experience in hardware systems architecture for hyperscale, HPC, AI/ML, or high-end networking platforms\n\n - Experience with AI accelerator systems and their scale-up/scale-out fabrics\n\n - Chip-package-system co-design experience\n\n - Expertise in one or more of: high-speed SerDes/PCIe/CXL/optics; BMC/firmware/secure boot; 48V/HVDC power delivery/liquid cooling; fleet-scale RAS; signal and power integrity\n\n - Experience establishing new engineering functions or practices\n\n\n\nEqual Opportunity Employment Policy\n\nd-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.\n\nd-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation. ","compensation":{"compensationTierSummary":"$195K – $285K • Offers Equity • Offers Bonus","scrapeableCompensationSalarySummary":"$195K - $285K","compensationTiers":[{"id":"de5511f4-d019-4dab-83f0-55aa1b410d88","tierSummary":"$195K – $285K • Offers Equity • Offers Bonus","title":null,"additionalInformation":null,"components":[{"id":"1748d318-245c-46cf-b2cd-2292f5ccb529","summary":"$195K – $285K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":195000,"maxValue":285000},{"id":"abf48cac-3582-403e-b2f4-891ccc359b25","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"33d06990-d753-4c00-903c-7370e6e716b7","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":195000,"maxValue":285000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}},{"id":"16ae871c-4e58-4e44-8476-e74e64442b80","title":"Senior Staff Hardware Qualification Engineer","department":"Systems Engineering","team":"Systems Engineering","employmentType":"FullTime","location":"Santa Clara","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-05-06T18:25:13.295+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"Ca","addressCountry":"United States","addressLocality":"Santa Clara, Ca"}},"jobUrl":"https://jobs.ashbyhq.com/d-Matrix/16ae871c-4e58-4e44-8476-e74e64442b80","applyUrl":"https://jobs.ashbyhq.com/d-Matrix/16ae871c-4e58-4e44-8476-e74e64442b80/application","descriptionHtml":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.
We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI.
Role Overview
As a Senior Staff Hardware Qualification Engineer, you will be the final gatekeeper of quality and reliability for our next-generation AI compute platforms. This is a high-impact, technical leadership role responsible for defining the qualification strategies that ensure our hardware—from ASIC substrates to Rack scale systems — can withstand the rigorous demands of 24/7 data center environments. You will bridge the gap between design and mass production, ensuring that \"cutting edge\" doesn't mean \"fragile.\"
Key Responsibilities
Qualification Strategy: Define and execute comprehensive HW qualification plans (EVT/DVT/PVT) for complex AI accelerator systems, including PCIe cards OAM modules and chassis systems.
Stress & Reliability Testing: Lead the implementation of HALT/HASS, thermal cycling, humidity, and vibration testing to identify marginalities in high-power ASIC designs.
Signal & Power Integrity Validation: Provide senior-level oversight for the validation of high-speed SerDes (112G/224G/PCIe), LPDDR, CoWOS designs, and complex PDN (Power Delivery Network) transients.
Failure Analysis (FA): Drive root-cause analysis for complex system-level failures, utilizing tools like X-ray, CT scan, and SEM/EDX to distinguish between design flaws, manufacturing defects, and material fatigue.
Interconnect Reliability: Specifically oversee the qualification of high-bandwidth interconnects (NVLink/UALink equivalents) and PCIe Gen5/6 link stability.
Cross-Functional Influence: Work directly with Design, Thermal, and Firmware teams to implement hardware fixes based on qualification data.
Vendor Management: Partner with CMs (Contract Manufacturers) and JDMs to align on test methodologies and production outgoing quality limits (OQL).
What you will bring
Education: BS/MS in Electrical Engineering, Mechanical Engineering, or Reliability Engineering.
Experience: 12+ years in hardware qualification or reliability, specifically with high-performance computing (HPC), servers, or networking hardware.
Technical Depth: Mastery of JEDEC, IPC, and Telcordia standards for hardware reliability.
Diagnostic Skills: Expert-level experience with high-speed oscilloscopes, logic analyzers, and environmental chambers.
Statistical Proficiency: Strong command of statistical methods (Weibull analysis, DOE, and JMP/Minitab) to predict product life cycles and failure rates.
Preferred Qualifications
Experience qualifying Air and Liquid Cooling components (CDUs, cold plates, leak detection) for high-TDP AI systems.
Background in ASIC/Package-level reliability, including electromigration and Thermal Stress Analysis.
Familiarity with Python or LabVIEW for automating complex test sequences.
Equal Opportunity Employment Policy
d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.
d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.
","descriptionPlain":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.\n\nWe value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI. \n\nRole Overview\n\nAs a Senior Staff Hardware Qualification Engineer, you will be the final gatekeeper of quality and reliability for our next-generation AI compute platforms. This is a high-impact, technical leadership role responsible for defining the qualification strategies that ensure our hardware—from ASIC substrates to Rack scale systems — can withstand the rigorous demands of 24/7 data center environments. You will bridge the gap between design and mass production, ensuring that \"cutting edge\" doesn't mean \"fragile.\"\n\nKey Responsibilities\n\n - Qualification Strategy: Define and execute comprehensive HW qualification plans (EVT/DVT/PVT) for complex AI accelerator systems, including PCIe cards OAM modules and chassis systems.\n\n - Stress & Reliability Testing: Lead the implementation of HALT/HASS, thermal cycling, humidity, and vibration testing to identify marginalities in high-power ASIC designs.\n\n - Signal & Power Integrity Validation: Provide senior-level oversight for the validation of high-speed SerDes (112G/224G/PCIe), LPDDR, CoWOS designs, and complex PDN (Power Delivery Network) transients.\n\n - Failure Analysis (FA): Drive root-cause analysis for complex system-level failures, utilizing tools like X-ray, CT scan, and SEM/EDX to distinguish between design flaws, manufacturing defects, and material fatigue.\n\n - Interconnect Reliability: Specifically oversee the qualification of high-bandwidth interconnects (NVLink/UALink equivalents) and PCIe Gen5/6 link stability.\n\n - Cross-Functional Influence: Work directly with Design, Thermal, and Firmware teams to implement hardware fixes based on qualification data.\n\n - Vendor Management: Partner with CMs (Contract Manufacturers) and JDMs to align on test methodologies and production outgoing quality limits (OQL).\n\nWhat you will bring\n\n - Education: BS/MS in Electrical Engineering, Mechanical Engineering, or Reliability Engineering.\n\n - Experience: 12+ years in hardware qualification or reliability, specifically with high-performance computing (HPC), servers, or networking hardware.\n\n - Technical Depth: Mastery of JEDEC, IPC, and Telcordia standards for hardware reliability.\n\n - Diagnostic Skills: Expert-level experience with high-speed oscilloscopes, logic analyzers, and environmental chambers.\n\n - Statistical Proficiency: Strong command of statistical methods (Weibull analysis, DOE, and JMP/Minitab) to predict product life cycles and failure rates.\n\nPreferred Qualifications\n\n - Experience qualifying Air and Liquid Cooling components (CDUs, cold plates, leak detection) for high-TDP AI systems.\n\n - Background in ASIC/Package-level reliability, including electromigration and Thermal Stress Analysis.\n\n - Familiarity with Python or LabVIEW for automating complex test sequences.\n\nEqual Opportunity Employment Policy\n\nd-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.\n\nd-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation. ","compensation":{"compensationTierSummary":"$175K – $265K • Offers Equity • Offers Bonus","scrapeableCompensationSalarySummary":"$175K - $265K","compensationTiers":[{"id":"12d45c34-4d34-457c-b5fa-ab3dad834860","tierSummary":"$175K – $265K • Offers Equity • Offers Bonus","title":null,"additionalInformation":null,"components":[{"id":"7cc47c03-6a25-4c50-ad89-ae9274fdb3bf","summary":"$175K – $265K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":175000,"maxValue":265000},{"id":"ab9f7543-e561-4d96-922c-f269635b6e38","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"bf40938c-2b4e-4745-a15d-88884e254a3e","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":175000,"maxValue":265000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}},{"id":"a8c4d6e0-bc72-4ffc-ab5c-4d8b3769f085","title":"Principal Software Engineer, Kernels","department":"Software Engineering","team":"Kernels & Workloads","employmentType":"FullTime","location":"Santa Clara","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-07-15T19:27:33.884+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"Ca","addressCountry":"United States","addressLocality":"Santa Clara, Ca"}},"jobUrl":"https://jobs.ashbyhq.com/d-Matrix/a8c4d6e0-bc72-4ffc-ab5c-4d8b3769f085","applyUrl":"https://jobs.ashbyhq.com/d-Matrix/a8c4d6e0-bc72-4ffc-ab5c-4d8b3769f085/application","descriptionHtml":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.
We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI.
Location:
Hybrid, working onsite at our Santa Clara, CA, headquarters 3-5 days per week.
The Role: Principal Software Engineer, Kernels
What you will do:
The role requires you to be part of the team that helps productize the SW stack for our AI compute engine. As part of the software team, you will be responsible for the development, enhancement, and maintenance of software kernels for next-generation AI hardware. You possess experience building software kernels for HW architectures. You possess a very strong understanding of various hardware architectures and how to map algorithms to the architecture. You understand how to map computational graphs generated by AI frameworks to the underlying architecture. You have had past experience working across all aspects of the full-stack toolchain and understand the nuances of what it takes to optimize and trade off various aspects of hardware-software co-design. You can build and scale software deliverables in a tight development window. You will work with a team of compiler experts to build out the compiler infrastructure, working closely with other software (ML, systems) and hardware (mixed signal, DSP, CPU) experts in the company.
What you will bring:
Minimum:
MS in computer engineering, math, physics, or a related degree with 12+ years of industry experience or a PhD in computer engineering, math, physics, or a related degree with 7+ years of industry experience.
Strong grasp of computer architecture, data structures, system software, and machine learning fundamentals.
Proficient in C/C++ and Python development in Linux environments and using standard development tools.
Experience implementing algorithms in high-level languages such as C/C++ and Python.
Experience implementing algorithms for specialized hardware such as FPGAs, DSPs, GPUs, and AI accelerators using libraries such as CUDA, etc.
Experience in implementing operators commonly used in ML workloads—GEMMs, Convolutions, BLAS, SIMD operators for operations like softmax, layer normalization, pooling, etc.
Experience with development for embedded SIMD vector processors such as Tensilica.
Self-motivated team player with a strong sense of ownership and leadership.
Preferred:
Prior startup, small team, or incubation experience.
Experience with ML frameworks such as TensorFlow and/orPyTorch.
Experience working with ML compilers and algorithms, such as MLIR, LLVM, TVM, Glow, etc.
Experience with a deep learning framework (such as PyTorch or TensorFlow) and ML models for CV, NLP, or recommendation.
Work experience at a cloud provider or AI compute/subsystem company.
Equal Opportunity Employment Policy
d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.
d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.
","descriptionPlain":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.\n\nWe value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI. \n\nLocation:\n\nHybrid, working onsite at our Santa Clara, CA, headquarters 3-5 days per week.\n\nThe Role: Principal Software Engineer, Kernels\n\nWhat you will do:\n\nThe role requires you to be part of the team that helps productize the SW stack for our AI compute engine. As part of the software team, you will be responsible for the development, enhancement, and maintenance of software kernels for next-generation AI hardware. You possess experience building software kernels for HW architectures. You possess a very strong understanding of various hardware architectures and how to map algorithms to the architecture. You understand how to map computational graphs generated by AI frameworks to the underlying architecture. You have had past experience working across all aspects of the full-stack toolchain and understand the nuances of what it takes to optimize and trade off various aspects of hardware-software co-design. You can build and scale software deliverables in a tight development window. You will work with a team of compiler experts to build out the compiler infrastructure, working closely with other software (ML, systems) and hardware (mixed signal, DSP, CPU) experts in the company.\n\nWhat you will bring:\n\nMinimum:\n\n - MS in computer engineering, math, physics, or a related degree with 12+ years of industry experience or a PhD in computer engineering, math, physics, or a related degree with 7+ years of industry experience.\n\n - Strong grasp of computer architecture, data structures, system software, and machine learning fundamentals.\n\n - Proficient in C/C++ and Python development in Linux environments and using standard development tools.\n\n - Experience implementing algorithms in high-level languages such as C/C++ and Python.\n\n - Experience implementing algorithms for specialized hardware such as FPGAs, DSPs, GPUs, and AI accelerators using libraries such as CUDA, etc.\n\n - Experience in implementing operators commonly used in ML workloads—GEMMs, Convolutions, BLAS, SIMD operators for operations like softmax, layer normalization, pooling, etc.\n\n - Experience with development for embedded SIMD vector processors such as Tensilica.\n\n - Self-motivated team player with a strong sense of ownership and leadership.\n\nPreferred:\n\n - Prior startup, small team, or incubation experience.\n\n - Experience with ML frameworks such as TensorFlow and/orPyTorch.\n\n - Experience working with ML compilers and algorithms, such as MLIR, LLVM, TVM, Glow, etc.\n\n - Experience with a deep learning framework (such as PyTorch or TensorFlow) and ML models for CV, NLP, or recommendation.\n\n - Work experience at a cloud provider or AI compute/subsystem company.\n\nEqual Opportunity Employment Policy\n\nd-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.\n\nd-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation. ","compensation":{"compensationTierSummary":"$195K – $285K • Offers Equity • Offers Bonus","scrapeableCompensationSalarySummary":"$195K - $285K","compensationTiers":[{"id":"84378be4-4f1f-4239-870a-9b617ac51d84","tierSummary":"$195K – $285K • Offers Equity • Offers Bonus","title":"L6","additionalInformation":null,"components":[{"id":"86f67fff-2c3d-438b-a183-850a397345fd","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"3f5f6258-720a-4296-a4c8-91ec9ed03cca","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"72cb602f-ac0f-4231-b242-a8a72821fc31","summary":"$195K – $285K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":195000,"maxValue":285000}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":195000,"maxValue":285000}]}},{"id":"8da7f188-0e02-458c-992a-439bcc693503","title":"Senior HR Generalist","department":"G&A","team":"Human Resources","employmentType":"FullTime","location":"Santa Clara","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-09-11T18:27:09.875+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"Ca","addressCountry":"United States","addressLocality":"Santa Clara, Ca"}},"jobUrl":"https://jobs.ashbyhq.com/d-Matrix/8da7f188-0e02-458c-992a-439bcc693503","applyUrl":"https://jobs.ashbyhq.com/d-Matrix/8da7f188-0e02-458c-992a-439bcc693503/application","descriptionHtml":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.
We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI.
Role Overview
d-Matrix is looking for a Senior HR Generalist with deep compensation and data expertise to help us make sound, defensible pay decisions in a highly competitive market for AI and technical talent. This is an individual contributor role that will own the analytical backbone of our compensation and people data — market benchmarking, salary structures, internal equity, and merit/bonus modeling — while also supporting broader People Operations. This is a hands-on generalist role rather than a pure Total Rewards specialist position: you'll bring real analytical depth to compensation and reporting and flex into core HR ops work as needed, with complex executive and sales compensation design handled by specialized outside expertise. You'll partner closely with HRBPs, Business Leaders, Talent Acquisition, Global Mobility and Immigration, Employee Relations, and Legal to deliver efficient, data-informed HR service.
What You Will Do
Lead market benchmarking and survey data analysis to keep salary ranges and job structures competitive and defensible.
Own job matching and leveling, ensuring consistency and internal equity across the organization.
Build and maintain compensation models for merit cycles, bonus pools, and promotions, translating data into clear, sound recommendations.
Support offer construction and internal equity analysis for new hires, promotions, and internal moves, including equity compensation.
Build and maintain HR reporting and dashboards (e.g., headcount, comp analytics, turnover), using HR data to identify trends, risks, and process gaps.
Own core People Operations processes — onboarding, offboarding, employee records, HR documentation, payroll coordination, and benefits administration.
Serve as HR systems owner (ADP WFN, Ashby, Lattice), ensuring data accuracy and integrity, and supporting integrations, audits, and troubleshooting.
Partner cross-functionally on HR service delivery, and maintain HR policies, procedures, and SOPs in response to regulatory changes.
What You Will Bring
Bachelor's degree or equivalent experience.
5+ years in HR Operations, with meaningful, hands-on compensation experience — not limited to participating in an annual comp cycle.
Direct experience with market benchmarking/survey data, salary structure design, job matching/leveling, internal equity analysis, and merit/bonus modeling.
Solid understanding of equity compensation.
Strong Excel and analytical skills, with the ability to build models rather than just interpret them.
Experience with HRIS/ATS systems (e.g., ADP WFN, Ashby) supporting data-driven people operations.
Equal Opportunity Employment Policy
d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.
d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.
","descriptionPlain":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.\n\nWe value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI. \n\n \n\nRole Overview\n\nd-Matrix is looking for a Senior HR Generalist with deep compensation and data expertise to help us make sound, defensible pay decisions in a highly competitive market for AI and technical talent. This is an individual contributor role that will own the analytical backbone of our compensation and people data — market benchmarking, salary structures, internal equity, and merit/bonus modeling — while also supporting broader People Operations. This is a hands-on generalist role rather than a pure Total Rewards specialist position: you'll bring real analytical depth to compensation and reporting and flex into core HR ops work as needed, with complex executive and sales compensation design handled by specialized outside expertise. You'll partner closely with HRBPs, Business Leaders, Talent Acquisition, Global Mobility and Immigration, Employee Relations, and Legal to deliver efficient, data-informed HR service.\n\nWhat You Will Do\n\n - Lead market benchmarking and survey data analysis to keep salary ranges and job structures competitive and defensible.\n\n - Own job matching and leveling, ensuring consistency and internal equity across the organization.\n\n - Build and maintain compensation models for merit cycles, bonus pools, and promotions, translating data into clear, sound recommendations.\n\n - Support offer construction and internal equity analysis for new hires, promotions, and internal moves, including equity compensation.\n\n - Build and maintain HR reporting and dashboards (e.g., headcount, comp analytics, turnover), using HR data to identify trends, risks, and process gaps.\n\n - Own core People Operations processes — onboarding, offboarding, employee records, HR documentation, payroll coordination, and benefits administration.\n\n - Serve as HR systems owner (ADP WFN, Ashby, Lattice), ensuring data accuracy and integrity, and supporting integrations, audits, and troubleshooting.\n\n - Partner cross-functionally on HR service delivery, and maintain HR policies, procedures, and SOPs in response to regulatory changes.\n\nWhat You Will Bring\n\n - Bachelor's degree or equivalent experience.\n\n - 5+ years in HR Operations, with meaningful, hands-on compensation experience — not limited to participating in an annual comp cycle.\n\n - Direct experience with market benchmarking/survey data, salary structure design, job matching/leveling, internal equity analysis, and merit/bonus modeling.\n\n - Solid understanding of equity compensation.\n\n - Strong Excel and analytical skills, with the ability to build models rather than just interpret them.\n\n - Experience with HRIS/ATS systems (e.g., ADP WFN, Ashby) supporting data-driven people operations.\n\nEqual Opportunity Employment Policy\n\nd-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.\n\nd-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation. ","compensation":{"compensationTierSummary":"$120K – $180K • Offers Equity • Offers Bonus","scrapeableCompensationSalarySummary":"$120K - $180K","compensationTiers":[{"id":"bcbe05fb-4e34-47a3-92d0-fb67cd75eb10","tierSummary":"$120K – $180K • Offers Equity • Offers Bonus","title":null,"additionalInformation":null,"components":[{"id":"7b441575-063d-49ea-b77c-b2b9b9cf7d46","summary":"$120K – $180K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":120000,"maxValue":180000},{"id":"a4444689-2617-46a4-a7fa-fbd3c5c289e8","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"634c256c-b5b1-4fa9-b13b-7b4ce7b4fea4","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":120000,"maxValue":180000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}},{"id":"b5e9d418-9277-4947-8061-7b702f3e5fb3","title":"Senior Software Engineer - Kernels","department":"Software Engineering","team":"Kernels & Workloads","employmentType":"FullTime","location":"Belgrade","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-06-17T12:20:25.199+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressCountry":"Serbia","addressLocality":"Belgrade"}},"jobUrl":"https://jobs.ashbyhq.com/d-Matrix/b5e9d418-9277-4947-8061-7b702f3e5fb3","applyUrl":"https://jobs.ashbyhq.com/d-Matrix/b5e9d418-9277-4947-8061-7b702f3e5fb3/application","descriptionHtml":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.
We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI.
Location:
Hybrid, working onsite at our Belgrade, Serbia, office 3-5 days per week.
The Role: Senior Software Engineer - Kernels
What you will do:
The role requires you to be part of the team that helps productize the SW stack for our AI compute engine. As part of the software team, you will be responsible for the development, enhancement, and maintenance of software kernels for next-generation AI hardware. You possess experience building software kernels for HW architectures. You possess a very strong understanding of various hardware architectures and how to map algorithms to the architecture. You understand how to map computational graphs generated by AI frameworks to the underlying architecture. You have had past experience working across all aspects of the full-stack toolchain and understand the nuances of what it takes to optimize and trade off various aspects of hardware-software co-design. You can build and scale software deliverables in a tight development window. You will work with a team of compiler experts to build out the compiler infrastructure, working closely with other software (ML, systems) and hardware (mixed signal, DSP, CPU) experts in the company.
What you will bring:
Minimum:
MS in computer engineering, math, physics, or a related degree with 5+ years of industry experience or PhD in computer engineering, math, physics, or a related degree with 1+ years of industry experience
Strong grasp of computer architecture, data structures, system software, and machine learning fundamentals
Proficient in C/C++ and Python development in Linux environments and using standard development tools
Experience implementing algorithms in high-level languages such as C/C++ and Python.
Experience implementing algorithms for specialized hardware such as FPGAs, DSPs, GPUs, and AI accelerators using libraries such as CUDA, etc.
Experience in implementing operators commonly used in ML workloads—GEMMs, Convolutions, BLAS, SIMD operators for operations like softmax, layer normalization, pooling, etc.
Experience with development for embedded SIMD vector processors such as Tensilica.
Self-motivated team player with a strong sense of ownership and leadership
Preferred:
Prior startup, small team, or incubation experience
Experience with ML frameworks such as TensorFlow and/orPyTorch
Experience working with ML compilers and algorithms, such as MLIR, LLVM, TVM, Glow, etc.
Experience with a deep learning framework (such as PyTorch or TensorFlow) and ML models for CV, NLP, or recommendation
Work experience at a cloud provider or AI compute/subsystem company
Equal Opportunity Employment Policy
d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.
d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.
","descriptionPlain":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.\n\nWe value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI. \n\nLocation:\n\nHybrid, working onsite at our Belgrade, Serbia, office 3-5 days per week.\n\nThe Role: Senior Software Engineer - Kernels\n\nWhat you will do:\n\nThe role requires you to be part of the team that helps productize the SW stack for our AI compute engine. As part of the software team, you will be responsible for the development, enhancement, and maintenance of software kernels for next-generation AI hardware. You possess experience building software kernels for HW architectures. You possess a very strong understanding of various hardware architectures and how to map algorithms to the architecture. You understand how to map computational graphs generated by AI frameworks to the underlying architecture. You have had past experience working across all aspects of the full-stack toolchain and understand the nuances of what it takes to optimize and trade off various aspects of hardware-software co-design. You can build and scale software deliverables in a tight development window. You will work with a team of compiler experts to build out the compiler infrastructure, working closely with other software (ML, systems) and hardware (mixed signal, DSP, CPU) experts in the company.\n\n \n\nWhat you will bring:\n\nMinimum:\n\n - MS in computer engineering, math, physics, or a related degree with 5+ years of industry experience or PhD in computer engineering, math, physics, or a related degree with 1+ years of industry experience\n\n - Strong grasp of computer architecture, data structures, system software, and machine learning fundamentals\n\n - Proficient in C/C++ and Python development in Linux environments and using standard development tools\n\n - Experience implementing algorithms in high-level languages such as C/C++ and Python.\n\n - Experience implementing algorithms for specialized hardware such as FPGAs, DSPs, GPUs, and AI accelerators using libraries such as CUDA, etc.\n\n - Experience in implementing operators commonly used in ML workloads—GEMMs, Convolutions, BLAS, SIMD operators for operations like softmax, layer normalization, pooling, etc.\n\n - Experience with development for embedded SIMD vector processors such as Tensilica.\n\n - Self-motivated team player with a strong sense of ownership and leadership\n\nPreferred:\n\n - Prior startup, small team, or incubation experience\n\n - Experience with ML frameworks such as TensorFlow and/orPyTorch\n\n - Experience working with ML compilers and algorithms, such as MLIR, LLVM, TVM, Glow, etc.\n\n - Experience with a deep learning framework (such as PyTorch or TensorFlow) and ML models for CV, NLP, or recommendation\n\n - Work experience at a cloud provider or AI compute/subsystem company\n\nEqual Opportunity Employment Policy\n\nd-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.\n\nd-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation. ","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"59e6acf8-2d7c-4aa0-a2af-aa9f27d4d31e","title":"Sr. Staff ML Researcher, LLM Algorithmic Optimization","department":"Architecture","team":"Architecture","employmentType":"FullTime","location":"Santa Clara","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-07-15T18:29:43.360+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"Ca","addressCountry":"United States","addressLocality":"Santa Clara, Ca"}},"jobUrl":"https://jobs.ashbyhq.com/d-Matrix/59e6acf8-2d7c-4aa0-a2af-aa9f27d4d31e","applyUrl":"https://jobs.ashbyhq.com/d-Matrix/59e6acf8-2d7c-4aa0-a2af-aa9f27d4d31e/application","descriptionHtml":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.
We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI.
Role Overview
d-Matrix is seeking a Senior Staff ML Researcher to join our Algorithms team and develop new methods for running large language models efficiently on our DNN accelerators. This is a hands-on research role at the intersection of machine learning, applied mathematics, numerical computing, and AI hardware. You will invent, evaluate, and implement algorithmic techniques that improve LLM inference performance while preserving model quality, with a focus on challenges such as numerical precision, model compression, memory efficiency, and efficient execution on accelerator hardware. You will work closely with mathematicians, ML researchers, ML engineers, compiler engineers, and hardware architects to translate research ideas into practical solutions for cutting-edge generative AI workloads.
What You Will Do
Research and develop algorithmic and numerical techniques that improve the latency, throughput, memory efficiency, and accuracy of large language model inference on d-Matrix DNN accelerators.
Design and evaluate methods such as low-precision quantization, model compression, sparsity, pruning, distillation, low-rank approximation, and other techniques for efficient neural-network execution.
Optimize key transformer inference workloads, including matrix operations, attention mechanisms, and KV-cache utilization, based on model characteristics and hardware constraints.
Analyze tradeoffs among model quality, numerical precision, memory footprint, compute efficiency, and system performance.
Build high-quality research prototypes and evaluation frameworks in Python to test new ideas across relevant models, datasets, and workloads.
Partner with hardware, compiler, and software teams to map algorithms effectively to accelerator capabilities, including supported data types, memory hierarchy, data movement, and compute architecture.
Stay current with advances in efficient LLM inference, neural-network optimization, numerical methods, and hardware-aware machine learning, and apply relevant developments to d-Matrix products.
What You Will Bring
Master's degree or PhD in Computer Science, Mathematics, Statistics, Physics, Electrical Engineering, or a related quantitative field, with 5+ years of relevant hands-on experience.
Strong foundation in machine learning and applied mathematics, with the ability to apply mathematical or numerical methods to practical ML problems.
Hands-on experience developing and evaluating machine-learning algorithms, models, or research prototypes.
Strong Python programming skills and experience with object-oriented code design.
Experience with modern machine-learning frameworks such as PyTorch, JAX, or TensorFlow.
Experience improving the performance, efficiency, or quality of machine-learning models through algorithmic or numerical techniques.
Familiarity with neural-network architectures; experience with transformers, LLM inference, or hardware-aware ML optimization is advantageous but not required.
Ability to design rigorous experiments, analyze results, and communicate technical findings clearly to cross-functional partners.
Equal Opportunity Employment Policy
d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.
d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.
","descriptionPlain":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.\n\nWe value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI. \n\n\n\nRole Overview\n\nd-Matrix is seeking a Senior Staff ML Researcher to join our Algorithms team and develop new methods for running large language models efficiently on our DNN accelerators. This is a hands-on research role at the intersection of machine learning, applied mathematics, numerical computing, and AI hardware. You will invent, evaluate, and implement algorithmic techniques that improve LLM inference performance while preserving model quality, with a focus on challenges such as numerical precision, model compression, memory efficiency, and efficient execution on accelerator hardware. You will work closely with mathematicians, ML researchers, ML engineers, compiler engineers, and hardware architects to translate research ideas into practical solutions for cutting-edge generative AI workloads.\n\nWhat You Will Do\n\n - Research and develop algorithmic and numerical techniques that improve the latency, throughput, memory efficiency, and accuracy of large language model inference on d-Matrix DNN accelerators.\n\n - Design and evaluate methods such as low-precision quantization, model compression, sparsity, pruning, distillation, low-rank approximation, and other techniques for efficient neural-network execution.\n\n - Optimize key transformer inference workloads, including matrix operations, attention mechanisms, and KV-cache utilization, based on model characteristics and hardware constraints.\n\n - Analyze tradeoffs among model quality, numerical precision, memory footprint, compute efficiency, and system performance.\n\n - Build high-quality research prototypes and evaluation frameworks in Python to test new ideas across relevant models, datasets, and workloads.\n\n - Partner with hardware, compiler, and software teams to map algorithms effectively to accelerator capabilities, including supported data types, memory hierarchy, data movement, and compute architecture.\n\n - Stay current with advances in efficient LLM inference, neural-network optimization, numerical methods, and hardware-aware machine learning, and apply relevant developments to d-Matrix products.\n\nWhat You Will Bring\n\n - Master's degree or PhD in Computer Science, Mathematics, Statistics, Physics, Electrical Engineering, or a related quantitative field, with 5+ years of relevant hands-on experience.\n\n - Strong foundation in machine learning and applied mathematics, with the ability to apply mathematical or numerical methods to practical ML problems.\n\n - Hands-on experience developing and evaluating machine-learning algorithms, models, or research prototypes.\n\n - Strong Python programming skills and experience with object-oriented code design.\n\n - Experience with modern machine-learning frameworks such as PyTorch, JAX, or TensorFlow.\n\n - Experience improving the performance, efficiency, or quality of machine-learning models through algorithmic or numerical techniques.\n\n - Familiarity with neural-network architectures; experience with transformers, LLM inference, or hardware-aware ML optimization is advantageous but not required.\n\n - Ability to design rigorous experiments, analyze results, and communicate technical findings clearly to cross-functional partners.\n\n\n\nEqual Opportunity Employment Policy\n\nd-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.\n\nd-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation. ","compensation":{"compensationTierSummary":"$175K – $265K • Offers Equity • Offers Bonus","scrapeableCompensationSalarySummary":"$175K - $265K","compensationTiers":[{"id":"d494b0b6-7060-4446-929f-4066f75473c0","tierSummary":"$175K – $265K • Offers Equity • Offers Bonus","title":null,"additionalInformation":null,"components":[{"id":"77dc34a5-d5d6-418e-9f86-9b1f84bfe368","summary":"$175K – $265K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":175000,"maxValue":265000},{"id":"5876cbda-7da7-40d7-a62f-d0bf1c9bf701","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"c92513f0-3062-4d4a-813f-8173a7ac6357","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":175000,"maxValue":265000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}},{"id":"f36b38d8-1d7c-40ad-9649-0c9bdef8429a","title":"Senior Staff LLM Inference Engineer","department":"Architecture","team":"Architecture","employmentType":"FullTime","location":"Santa Clara","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-08-18T14:48:28.676+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"Ca","addressCountry":"United States","addressLocality":"Santa Clara, Ca"}},"jobUrl":"https://jobs.ashbyhq.com/d-Matrix/f36b38d8-1d7c-40ad-9649-0c9bdef8429a","applyUrl":"https://jobs.ashbyhq.com/d-Matrix/f36b38d8-1d7c-40ad-9649-0c9bdef8429a/application","descriptionHtml":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.
We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI.
D-Matrix Frontier Group sits at the leading edge of what’s possible with LLM inference on heterogeneous hardware. Our charter spans the full stack: from pathfinding emerging use cases and novel deployment patterns to deep optimization of inference kernels to building proof-of-concept systems that showcase D-Matrix’s unique computational fabric. We are an applied research and engineering team that moves fast, ships real systems, and works directly with product and hardware teams to shape the roadmap.
We build the tools, runtimes, and frameworks that let frontier AI models run efficiently and cost-effectively across heterogeneous deployments combining D-Matrix silicon with CPUs, GPUs, and custom accelerators. Our work powers everything from benchmarking and evaluation pipelines to production-grade inference serving.
This Role
We are hiring end-to-end inference engineers who are comfortable going from a novel research idea to a deployed, optimized system. You will work at every layer of the inference stack from kernel-level optimization to distributed orchestration to high-level serving APIs.
This role could be a great match for you if you:
Have deep intuition for modern generative AI architectures and how to squeeze performance out of them at inference time.
Are familiar with the internals of open-source inference frameworks (vLLM, SGLang, TensorRT-LLM, etc.) and can extend or replace them when needed.
Enjoy pathfinding new use cases — exploring heterogeneous deployment topologies and building early-stage POCs that prove out new ideas.
Are results-oriented with a strong bias toward action; you own problems end-to-end from prototype to optimization to handoff.
Are energized by working at the intersection of novel hardware and frontier models and want your work to directly influence how next-generation AI silicon is used.
Value clear communication and thrive in a small, high-ownership team environment.
Responsibilities
Identify and prototype emerging LLM inference use cases suited to heterogeneous hardware deployments.
Build compelling proof-of-concept systems that demonstrate D-Matrix capabilities to customers, partners, and internal stakeholders.
Develop and tune custom kernels and operator-level optimizations to maximize throughput and minimize latency.
Drive quantization, sparsity, and batching strategies tailored to the D-Matrix computational model.
Build and maintain inference runtimes, serving frameworks, and evaluation tooling.
Contribute to distributed inference systems: tensor/pipeline parallelism, disaggregated prefill/decode, KV-cache management.
Work closely with hardware architects to provide firmware and compiler teams with actionable inference workload insights.
Partner with product and business development to translate POCs into customer-facing demonstrations.
Contribute to technical publications, whitepapers, and open-source projects that advance D-Matrix visibility.
Required Qualifications
Bachelor’s degree in Computer Science, Electrical Engineering, or a related field, and 10+ years of relevant engineering experience or equivalent demonstrated experience.
Master’s or PhD in Computer Science, Electrical Engineering, or a related field preferred, with 6+ years of relevant industry experience.
Strong proficiency in Python and C/C++.
Hands-on experience optimizing LLM inference — attention kernels, KV cache, batching strategies, quantization (INT8/FP8/INT4).
Experience with at least one major inference framework (vLLM, SGLang, TensorRT-LLM, ONNX Runtime, or similar) at a contributor level.
Familiarity with GPU kernel programming (CUDA/Triton) and performance profiling tools.
Preferred Qualifications
Experience with heterogeneous compute deployments — scheduling inference workloads across dissimilar hardware (accelerators, CPUs, GPUs).
Familiarity with custom silicon or ASIC-based inference (beyond GPU-only environments).
Experience with distributed inference: tensor parallelism, pipeline parallelism, disaggregated serving.
Contributions to open-source inference or ML systems projects.
Experience with production inference serving at scale (latency SLOs, continuous batching, multi-model serving).
Familiarity with speculative decoding, mixture-of-experts routing, or long-context-serving techniques.
Working familiarity with the material in the JAX Scaling Book or equivalent systems-level understanding of modern LLM training and inference.
Why D-Matrix Frontier Group
Work on genuinely novel hardware: D-Matrix in-memory compute architecture opens up inference optimization problems that don’t exist anywhere else.
End-to-end ownership from idea to deployed system, with a short feedback loop between your work and real hardware.
Small, senior team with high autonomy and direct influence on product direction.
Competitive compensation, equity, and benefits in Santa Clara, CA.
Equal Opportunity Employment Policy
d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.
d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.
","descriptionPlain":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.\n\nWe value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI. \n\nD-Matrix Frontier Group sits at the leading edge of what’s possible with LLM inference on heterogeneous hardware. Our charter spans the full stack: from pathfinding emerging use cases and novel deployment patterns to deep optimization of inference kernels to building proof-of-concept systems that showcase D-Matrix’s unique computational fabric. We are an applied research and engineering team that moves fast, ships real systems, and works directly with product and hardware teams to shape the roadmap.\n\nWe build the tools, runtimes, and frameworks that let frontier AI models run efficiently and cost-effectively across heterogeneous deployments combining D-Matrix silicon with CPUs, GPUs, and custom accelerators. Our work powers everything from benchmarking and evaluation pipelines to production-grade inference serving.\n\nThis Role\n\nWe are hiring end-to-end inference engineers who are comfortable going from a novel research idea to a deployed, optimized system. You will work at every layer of the inference stack from kernel-level optimization to distributed orchestration to high-level serving APIs.\n\nThis role could be a great match for you if you:\n\n - Have deep intuition for modern generative AI architectures and how to squeeze performance out of them at inference time.\n\n - Are familiar with the internals of open-source inference frameworks (vLLM, SGLang, TensorRT-LLM, etc.) and can extend or replace them when needed.\n\n - Enjoy pathfinding new use cases — exploring heterogeneous deployment topologies and building early-stage POCs that prove out new ideas.\n\n - Are results-oriented with a strong bias toward action; you own problems end-to-end from prototype to optimization to handoff.\n\n - Are energized by working at the intersection of novel hardware and frontier models and want your work to directly influence how next-generation AI silicon is used.\n\n - Value clear communication and thrive in a small, high-ownership team environment.\n\nResponsibilities\n\n - Identify and prototype emerging LLM inference use cases suited to heterogeneous hardware deployments.\n\n - Build compelling proof-of-concept systems that demonstrate D-Matrix capabilities to customers, partners, and internal stakeholders.\n\n - Develop and tune custom kernels and operator-level optimizations to maximize throughput and minimize latency.\n\n - Drive quantization, sparsity, and batching strategies tailored to the D-Matrix computational model.\n\n - Build and maintain inference runtimes, serving frameworks, and evaluation tooling.\n\n - Contribute to distributed inference systems: tensor/pipeline parallelism, disaggregated prefill/decode, KV-cache management.\n\n - Work closely with hardware architects to provide firmware and compiler teams with actionable inference workload insights.\n\n - Partner with product and business development to translate POCs into customer-facing demonstrations.\n\n - Contribute to technical publications, whitepapers, and open-source projects that advance D-Matrix visibility.\n \n\nRequired Qualifications\n\n - Bachelor’s degree in Computer Science, Electrical Engineering, or a related field, and 10+ years of relevant engineering experience or equivalent demonstrated experience.\n\n - Master’s or PhD in Computer Science, Electrical Engineering, or a related field preferred, with 6+ years of relevant industry experience.\n\n - Strong proficiency in Python and C/C++.\n\n - Hands-on experience optimizing LLM inference — attention kernels, KV cache, batching strategies, quantization (INT8/FP8/INT4).\n\n - Experience with at least one major inference framework (vLLM, SGLang, TensorRT-LLM, ONNX Runtime, or similar) at a contributor level.\n\n - Familiarity with GPU kernel programming (CUDA/Triton) and performance profiling tools.\n\nPreferred Qualifications\n\n - Experience with heterogeneous compute deployments — scheduling inference workloads across dissimilar hardware (accelerators, CPUs, GPUs).\n\n - Familiarity with custom silicon or ASIC-based inference (beyond GPU-only environments).\n\n - Experience with distributed inference: tensor parallelism, pipeline parallelism, disaggregated serving.\n\n - Contributions to open-source inference or ML systems projects.\n\n - Experience with production inference serving at scale (latency SLOs, continuous batching, multi-model serving).\n\n - Familiarity with speculative decoding, mixture-of-experts routing, or long-context-serving techniques.\n\n - Working familiarity with the material in the JAX Scaling Book or equivalent systems-level understanding of modern LLM training and inference.\n \n Why D-Matrix Frontier Group\n\n - Work on genuinely novel hardware: D-Matrix in-memory compute architecture opens up inference optimization problems that don’t exist anywhere else.\n\n - End-to-end ownership from idea to deployed system, with a short feedback loop between your work and real hardware.\n\n - Small, senior team with high autonomy and direct influence on product direction.\n\n - Competitive compensation, equity, and benefits in Santa Clara, CA.\n\n \n\nEqual Opportunity Employment Policy\n\nd-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.\n\nd-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation. ","compensation":{"compensationTierSummary":"$195K – $285K • Offers Equity • Offers Bonus","scrapeableCompensationSalarySummary":"$195K - $285K","compensationTiers":[{"id":"2d5d31bc-7a68-4953-8fff-dc48c767010e","tierSummary":"$195K – $285K • Offers Equity • Offers Bonus","title":"L6","additionalInformation":null,"components":[{"id":"17b090cf-0c8d-4a8c-8c90-db9be165d4dd","summary":"$195K – $285K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":195000,"maxValue":285000},{"id":"0869b180-3ed7-4fad-a328-8a697adac13e","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"16180f4f-afe6-4784-820a-0262b088d275","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":195000,"maxValue":285000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}},{"id":"e7af1516-8010-45e7-9095-a768f8d49a15","title":"Data Center & Lab Technician - AI Accelerator Infrastructure - Contract","department":"G&A","team":"Corporate IT","employmentType":"Contract","location":"Santa Clara","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-07-16T14:18:15.056+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"Ca","addressCountry":"United States","addressLocality":"Santa Clara, Ca"}},"jobUrl":"https://jobs.ashbyhq.com/d-Matrix/e7af1516-8010-45e7-9095-a768f8d49a15","applyUrl":"https://jobs.ashbyhq.com/d-Matrix/e7af1516-8010-45e7-9095-a768f8d49a15/application","descriptionHtml":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.
We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI.
Role Overview
d-Matrix designs purpose-built AI inference silicon. Our unified infrastructure team (SRE engineers, DevOps engineers, and data center and lab technicians) owns the physical and virtual layer that every engineering team depends on. As a Data Center & Lab Technician, you will own the hands-on side of that work: racking and cabling systems, bringing up d-Matrix AI-accelerated hardware, and keeping lab and colocation environments accurate, organized, and audit-ready. You will partner with SRE, hardware, software, and silicon validation teams, and your work will directly determine how quickly engineers get clean, reliable systems. This is a one-year contract with potential for full-time conversion, in a small, high-ownership team where your impact is immediately visible.
What You Will Do
Rack, stack, cable, and decommission servers, PDUs, network gear, and storage in on-premises labs and colocation facilities.
Execute hardware bring-up for d-Matrix AI-accelerated systems and validation test benches, including BIOS configuration, firmware validation, and Linux OS installation.
Replace and upgrade components, including PCIe cards, NICs, storage, memory, and accelerator hardware, across multiple server generations.
Maintain accurate asset and inventory records in DCIM tools (NetBox, Jira, or equivalent), including hardware configuration state, warranty, end-of-life status, refresh schedules, and spare parts.
Coordinate equipment moves between lab, staging, and colocation, and manage shipping, receiving, and RMA workflows.
Diagnose and resolve hardware, power, thermal, and network connectivity issues, and serve as first physical responder for incidents, escalating to SRE engineers with clear documentation and reproduction steps.
Write and maintain SOPs, rack diagrams, cabling guides, and runbooks that a new technician can follow without shadowing.
Keep lab spaces organized, ESD-compliant, and audit-ready, and support parallel workstreams as silicon programs evolve.
What You Will Bring
3+ years in data center operations, hardware validation, or systems technician roles, with hands-on server experience.
Rack-and-stack experience, including server installation, PDU and patch panel cabling, rack power planning, and professional-grade cable management.
Hardware bring-up experience, including BIOS/UEFI configuration, firmware updates, component replacement, and OS installation on Linux.
Linux command-line proficiency to run diagnostics, inspect logs, and execute runbooks independently.
Experience with DCIM or inventory tools and a track record of accurate, current records.
Strong written communication, including documenting work, escalating with context, and writing SOPs others can follow.
Ability to work independently in a fast-moving startup environment.
Preferred Qualifications
Colocation data center experience (Equinix, CoreSite, Digital Realty, or similar).
Experience with AI/ML or GPU hardware (NVIDIA, AMD, or Intel accelerator cards) in a lab or production environment.
Familiarity with high-speed interconnects such as InfiniBand, RoCE, and SFP/QSFP optics.
Basic Ansible exposure, including running playbooks and understanding what they do.
Python or Bash scripting for operational task automation.
Equal Opportunity Employment Policy
d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.
d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.
","descriptionPlain":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.\n\nWe value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI. \n\n\n\nRole Overview\n\nd-Matrix designs purpose-built AI inference silicon. Our unified infrastructure team (SRE engineers, DevOps engineers, and data center and lab technicians) owns the physical and virtual layer that every engineering team depends on. As a Data Center & Lab Technician, you will own the hands-on side of that work: racking and cabling systems, bringing up d-Matrix AI-accelerated hardware, and keeping lab and colocation environments accurate, organized, and audit-ready. You will partner with SRE, hardware, software, and silicon validation teams, and your work will directly determine how quickly engineers get clean, reliable systems. This is a one-year contract with potential for full-time conversion, in a small, high-ownership team where your impact is immediately visible.\n\nWhat You Will Do\n\n - Rack, stack, cable, and decommission servers, PDUs, network gear, and storage in on-premises labs and colocation facilities.\n\n - Execute hardware bring-up for d-Matrix AI-accelerated systems and validation test benches, including BIOS configuration, firmware validation, and Linux OS installation.\n\n - Replace and upgrade components, including PCIe cards, NICs, storage, memory, and accelerator hardware, across multiple server generations.\n\n - Maintain accurate asset and inventory records in DCIM tools (NetBox, Jira, or equivalent), including hardware configuration state, warranty, end-of-life status, refresh schedules, and spare parts.\n\n - Coordinate equipment moves between lab, staging, and colocation, and manage shipping, receiving, and RMA workflows.\n\n - Diagnose and resolve hardware, power, thermal, and network connectivity issues, and serve as first physical responder for incidents, escalating to SRE engineers with clear documentation and reproduction steps.\n\n - Write and maintain SOPs, rack diagrams, cabling guides, and runbooks that a new technician can follow without shadowing.\n\n - Keep lab spaces organized, ESD-compliant, and audit-ready, and support parallel workstreams as silicon programs evolve.\n\nWhat You Will Bring\n\n - 3+ years in data center operations, hardware validation, or systems technician roles, with hands-on server experience.\n\n - Rack-and-stack experience, including server installation, PDU and patch panel cabling, rack power planning, and professional-grade cable management.\n\n - Hardware bring-up experience, including BIOS/UEFI configuration, firmware updates, component replacement, and OS installation on Linux.\n\n - Linux command-line proficiency to run diagnostics, inspect logs, and execute runbooks independently.\n\n - Experience with DCIM or inventory tools and a track record of accurate, current records.\n\n - Strong written communication, including documenting work, escalating with context, and writing SOPs others can follow.\n\n - Ability to work independently in a fast-moving startup environment.\n\nPreferred Qualifications\n\n - Colocation data center experience (Equinix, CoreSite, Digital Realty, or similar).\n\n - Experience with AI/ML or GPU hardware (NVIDIA, AMD, or Intel accelerator cards) in a lab or production environment.\n\n - Familiarity with high-speed interconnects such as InfiniBand, RoCE, and SFP/QSFP optics.\n\n - Basic Ansible exposure, including running playbooks and understanding what they do.\n\n - Python or Bash scripting for operational task automation.\n\nEqual Opportunity Employment Policy\n\nd-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.\n\nd-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation. ","compensation":{"compensationTierSummary":"$50 – $80 per hour","scrapeableCompensationSalarySummary":null,"compensationTiers":[{"id":"4f5f626e-02cd-44e2-b1c5-13e0b01f4787","tierSummary":"$50 – $80 per hour","title":null,"additionalInformation":null,"components":[{"id":"ea784255-85d5-440b-b80f-340f955af556","summary":"$50 – $80 per hour","compensationType":"Salary","interval":"1 HOUR","currencyCode":"USD","minValue":50,"maxValue":80}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 HOUR","currencyCode":"USD","minValue":50,"maxValue":80}]}},{"id":"c2214b86-f98b-4754-b58b-c3f9673a6d8e","title":"Staff Technical Recruiter - Contract ","department":"G&A","team":"Talent Acquisition","employmentType":"Contract","location":"Bangalore","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-08-11T15:13:50.695+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"Karnataka","addressCountry":"India","addressLocality":"Bangalore"}},"jobUrl":"https://jobs.ashbyhq.com/d-Matrix/c2214b86-f98b-4754-b58b-c3f9673a6d8e","applyUrl":"https://jobs.ashbyhq.com/d-Matrix/c2214b86-f98b-4754-b58b-c3f9673a6d8e/application","descriptionHtml":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.
We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI.
Senior Technical Recruiter (Contract) — India
Location: Bangalore, India (Onsite)
Employment Type: Contract, 6–12 months
Experience Level: 8+ years in technical recruiting
About the Role
We are looking for a Senior Technical Recruiter to join our Talent Acquisition team on a 6–12 month contract, based onsite in Bangalore. This role will own full-cycle recruiting for engineering and technical positions, partnering closely with hiring managers to build high-performing teams across [Engineering / RTL Design / DevOps / etc. — customize].
What You'll Do
Manage full-cycle recruiting for technical and engineering roles — from intake and sourcing through offer and close
Partner with hiring managers to define role requirements, interview plans, and evaluation criteria
Build and manage a strong pipeline of technical talent through sourcing, referrals, and market mapping
Drive candidate experience through timely communication, structured interviews, and transparent feedback loops
Own requisition data hygiene and reporting within the ATS (Ashby)
What We're Looking For
8+ years of recruiting experience, with a strong track record in technical/engineering hiring (e.g., RTL Design, DFT, DevOps, Silicon Validation, Software Engineering)
Experience recruiting in the India talent market, with strong knowledge of local compensation benchmarks and sourcing channels
Hands-on experience with an ATS (Ashby preferred); comfort owning pipeline data and reporting
Strong stakeholder management skills — able to advise and influence hiring managers and leadership
Excellent communication and candidate management skills
Ability to work onsite and manage a high-volume, fast-paced hiring environment
Prior experience in a contract/consulting recruiting capacity is a plus
Why Join Us
Opportunity to directly shape technical hiring for a growing organization
Work closely with engineering leadership on high-impact roles
Fast-paced, collaborative environment with a clear scope and defined engagement period
Equal Opportunity Employment Policy
d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.
d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.
","descriptionPlain":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.\n\nWe value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI. \n\nSenior Technical Recruiter (Contract) — India\n\nLocation: Bangalore, India (Onsite)\nEmployment Type: Contract, 6–12 months\nExperience Level: 8+ years in technical recruiting\n \nAbout the Role\n \nWe are looking for a Senior Technical Recruiter to join our Talent Acquisition team on a 6–12 month contract, based onsite in Bangalore. This role will own full-cycle recruiting for engineering and technical positions, partnering closely with hiring managers to build high-performing teams across [Engineering / RTL Design / DevOps / etc. — customize].\n \nWhat You'll Do\n \nManage full-cycle recruiting for technical and engineering roles — from intake and sourcing through offer and close\nPartner with hiring managers to define role requirements, interview plans, and evaluation criteria\nBuild and manage a strong pipeline of technical talent through sourcing, referrals, and market mapping\nDrive candidate experience through timely communication, structured interviews, and transparent feedback loops\nOwn requisition data hygiene and reporting within the ATS (Ashby)\n \nWhat We're Looking For\n \n8+ years of recruiting experience, with a strong track record in technical/engineering hiring (e.g., RTL Design, DFT, DevOps, Silicon Validation, Software Engineering)\nExperience recruiting in the India talent market, with strong knowledge of local compensation benchmarks and sourcing channels\nHands-on experience with an ATS (Ashby preferred); comfort owning pipeline data and reporting\nStrong stakeholder management skills — able to advise and influence hiring managers and leadership\nExcellent communication and candidate management skills\nAbility to work onsite and manage a high-volume, fast-paced hiring environment\nPrior experience in a contract/consulting recruiting capacity is a plus\n \nWhy Join Us\n \nOpportunity to directly shape technical hiring for a growing organization\nWork closely with engineering leadership on high-impact roles\nFast-paced, collaborative environment with a clear scope and defined engagement period\n\n\nEqual Opportunity Employment Policy\n\nd-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.\n\nd-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation. ","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"122ef1ed-9554-45f0-ac40-3838965ebff1","title":"Principal Software Engineer, Performance Analysis and Modeling","department":"Software Engineering","team":"Performance Modeling","employmentType":"FullTime","location":"Remote","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"Remote","address":{"postalAddress":{"addressCountry":"United States","addressLocality":"seattle, WA"}}}],"publishedAt":"2026-08-25T14:47:44.416+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressCountry":"United States","addressLocality":"seattle, WA"}},"jobUrl":"https://jobs.ashbyhq.com/d-Matrix/122ef1ed-9554-45f0-ac40-3838965ebff1","applyUrl":"https://jobs.ashbyhq.com/d-Matrix/122ef1ed-9554-45f0-ac40-3838965ebff1/application","descriptionHtml":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.
We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI.
Working onsite at our Santa Clara, CA, headquarters 3 days per week hybrid. Will consider remote in the United States. Will consider remote in the United States.
The role: Principal Software Engineer, Performance Analysis and Modeling
d-Matrix is looking for a computer engineer to help analyze and model performance across the hardware/software boundary of our AI inference accelerators. This role focuses on emerging hardware technologies (DIMC, D2D, 3D-DRAM) and emerging workloads (generative inference, multi-modal LLMs) — building the analytical models and simulation tools that let the architecture team project performance on current and future d-Matrix silicon. You'll work closely with Hardware Design, Compiler, Inference Server, and Kernels teams, translating workload analysis into concrete modeling inputs and surfacing HW/SW improvement opportunities. This is a hands-on technical contributor role within the broader architecture organization.
What You Will Do
Analyze emerging ML workloads, multi-modal LLMs, CoT reasoning models, and video/audio generation to identify performance-relevant properties.
Build and maintain analytical performance models that project behavior on current and future d-Matrix hardware generations.
Develop and extend architecture simulators to support performance analysis of proposed HW/SW features.
Partner with hardware design, compiler, inference server, kernel, and product teams to validate modeling assumptions and surface downstream implications.
Track relevant ML architecture and algorithms research and incorporate findings into modeling work.
Propose targeted HW/SW feature improvements based on modeling results and workload analysis.
Document modeling methodology and findings for reuse across the architecture team.
What You Will Bring
BSEE with 6+ years of industry experience, or MSEE with 4+ years of industry experience.
Working knowledge of computer architecture, HW/SW co-design, performance modeling, and ML fundamentals (particularly DNNs).
Programming fluency in C/C++ or Python.
Experience building or working with analytical performance models or architecture simulators.
Self-motivated and collaborative, comfortable working across hardware and software teams.
Preferred Qualifications
Experience optimizing AI/ML workloads on accelerator technologies
Research and investigation in AI/ML architecture/microarchitecture
Equal Opportunity Employment Policy
d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.
d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.
","descriptionPlain":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.\n\nWe value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI. \n\nWorking onsite at our Santa Clara, CA, headquarters 3 days per week hybrid. Will consider remote in the United States. Will consider remote in the United States.\n\nThe role: Principal Software Engineer, Performance Analysis and Modeling\n\nd-Matrix is looking for a computer engineer to help analyze and model performance across the hardware/software boundary of our AI inference accelerators. This role focuses on emerging hardware technologies (DIMC, D2D, 3D-DRAM) and emerging workloads (generative inference, multi-modal LLMs) — building the analytical models and simulation tools that let the architecture team project performance on current and future d-Matrix silicon. You'll work closely with Hardware Design, Compiler, Inference Server, and Kernels teams, translating workload analysis into concrete modeling inputs and surfacing HW/SW improvement opportunities. This is a hands-on technical contributor role within the broader architecture organization.\n\nWhat You Will Do\n\n - Analyze emerging ML workloads, multi-modal LLMs, CoT reasoning models, and video/audio generation to identify performance-relevant properties.\n\n - Build and maintain analytical performance models that project behavior on current and future d-Matrix hardware generations.\n\n - Develop and extend architecture simulators to support performance analysis of proposed HW/SW features.\n\n - Partner with hardware design, compiler, inference server, kernel, and product teams to validate modeling assumptions and surface downstream implications.\n\n - Track relevant ML architecture and algorithms research and incorporate findings into modeling work.\n\n - Propose targeted HW/SW feature improvements based on modeling results and workload analysis.\n\n - Document modeling methodology and findings for reuse across the architecture team.\n\nWhat You Will Bring\n\n - BSEE with 6+ years of industry experience, or MSEE with 4+ years of industry experience.\n\n - Working knowledge of computer architecture, HW/SW co-design, performance modeling, and ML fundamentals (particularly DNNs).\n\n - Programming fluency in C/C++ or Python.\n\n - Experience building or working with analytical performance models or architecture simulators.\n\n - Self-motivated and collaborative, comfortable working across hardware and software teams.\n\nPreferred Qualifications\n\n - Experience optimizing AI/ML workloads on accelerator technologies\n\n - Research and investigation in AI/ML architecture/microarchitecture\n\nEqual Opportunity Employment Policy\n\nd-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.\n\nd-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation. ","compensation":{"compensationTierSummary":"$175K – $285K • Offers Equity • Offers Bonus","scrapeableCompensationSalarySummary":"$175K - $285K","compensationTiers":[{"id":"73ef888c-fe78-48f9-814f-924378d22e0b","tierSummary":"$175K – $285K • Offers Equity • Offers Bonus","title":null,"additionalInformation":null,"components":[{"id":"0d771234-0f48-4606-ad07-bba4f81dfc40","summary":"$175K – $285K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":175000,"maxValue":285000},{"id":"db5858e7-7e87-44f0-a050-a5b545528170","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"b522ec58-2c41-4d52-8c68-7ae108b03dff","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":175000,"maxValue":285000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}},{"id":"922e130d-e3b1-4923-afc9-b13d60c5c093","title":"Staff Analog Design Engineer, SerDes Clocking","department":"Hardware Engineering","team":"Analog Circuits","employmentType":"FullTime","location":"Santa Clara","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-08-19T03:52:08.392+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"Ca","addressCountry":"United States","addressLocality":"Santa Clara, Ca"}},"jobUrl":"https://jobs.ashbyhq.com/d-Matrix/922e130d-e3b1-4923-afc9-b13d60c5c093","applyUrl":"https://jobs.ashbyhq.com/d-Matrix/922e130d-e3b1-4923-afc9-b13d60c5c093/application","descriptionHtml":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.
We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI.
This is a hands-on, transistor-level analog design role owning the clocking subsystem of d-Matrix's high-speed SerDes on our IO chiplet — including the PLL, DLL, phase interpolator, high-frequency clock distribution, and clock and data recovery (CDR) loop. This block set most often determines whether a link closes, and you will personally carry your designs from specification through silicon characterization. The work spans porting proven clocking blocks to new process nodes and ground-up design for our next-generation link, partnering closely with datapath, DSP, digital, and firmware teams to close timing, jitter budgets, and calibration across the full SerDes macro.
Own transistor-level design of low-jitter frequency synthesis — LC and/or ring PLL, including loop filter, charge pump or digital loop, VCO, and divider chain.
Own the phase interpolator and phase rotation scheme, including INL/DNL, glitch behavior, and interpolation resolution against the CDR's needs.
Design high-frequency clock distribution across the SerDes macro: buffer chains, duty-cycle correction, quadrature generation and correction, skew control, and supply isolation.
Define and verify CDR architecture and loop dynamics — bandwidth, jitter tolerance, jitter transfer, lock acquisition, and frequency offset tracking — modeling loop behavior in MATLAB, Python, or equivalent, and correlating against transistor-level and silicon results, in coordination with datapath and DSP owners.
Build phase-noise and jitter budgets for the link and own the analysis showing where jitter originates.
Build the verification environment for your blocks — PSS/HB and transient noise analysis, PVT corner coverage, Monte Carlo, and post-layout back-annotated simulation — and provide behavioral and Verilog-A models for full-chip verification.
Drive layout of your blocks in deep sub-micron nodes, with particular attention to inductor and VCO layout, shielding, symmetry, and supply/substrate isolation.
Take your blocks through silicon bring-up and bench characterization — phase noise, jitter tolerance, lock range — and correlate measured results against simulation.
BS/MS/PhD in Electrical Engineering, with 5+ years of hands-on analog and mixed-signal circuit design experience.
Demonstrated ownership of a low-jitter PLL, phase interpolator, or CDR loop through silicon in a high-speed SerDes link.
Deep knowledge of PLL architecture, loop dynamics, VCO design, and phase noise theory, along with working knowledge of CDR architectures and the loop analysis behind jitter tolerance and jitter transfer.
Practical experience with jitter decomposition and budgeting methodology, including quantifying contributors in simulation.
Circuit design experience in advanced FinFET or GAA process nodes, using industry-standard analog design and simulation tools and methodologies (e.g., Cadence Virtuoso, Spectre, Monte Carlo/corner analysis, post-layout simulation).
Silicon bring-up and bench debug experience with lab equipment such as phase noise analyzers, high-speed scopes, and BERTs.
Die-to-die interconnect experience — UCIe, BoW, or a proprietary D2D PHY — including clocking architecture choices specific to short-reach, low-energy-per-bit links.
Forwarded-clock and matched-source-synchronous architectures alongside embedded-clock CDR.
Digital and hybrid PLL/CDR implementations, including the digital calibration around them.
Familiarity with relevant specifications: UCIe, OIF CEI-112G/224G, IEEE 802.3, PCIe Gen6/Gen7.
Experience porting a clocking block across process nodes, with a realistic sense of what that effort costs.
Participation in or contribution to standards bodies.
Equal Opportunity Employment Policy
d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.
d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.
","descriptionPlain":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.\n\nWe value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI. \n\n\nROLE OVERVIEW\n\nThis is a hands-on, transistor-level analog design role owning the clocking subsystem of d-Matrix's high-speed SerDes on our IO chiplet — including the PLL, DLL, phase interpolator, high-frequency clock distribution, and clock and data recovery (CDR) loop. This block set most often determines whether a link closes, and you will personally carry your designs from specification through silicon characterization. The work spans porting proven clocking blocks to new process nodes and ground-up design for our next-generation link, partnering closely with datapath, DSP, digital, and firmware teams to close timing, jitter budgets, and calibration across the full SerDes macro.\n\n\nWHAT YOU WILL DO\n\n - Own transistor-level design of low-jitter frequency synthesis — LC and/or ring PLL, including loop filter, charge pump or digital loop, VCO, and divider chain.\n\n - Own the phase interpolator and phase rotation scheme, including INL/DNL, glitch behavior, and interpolation resolution against the CDR's needs.\n\n - Design high-frequency clock distribution across the SerDes macro: buffer chains, duty-cycle correction, quadrature generation and correction, skew control, and supply isolation.\n\n - Define and verify CDR architecture and loop dynamics — bandwidth, jitter tolerance, jitter transfer, lock acquisition, and frequency offset tracking — modeling loop behavior in MATLAB, Python, or equivalent, and correlating against transistor-level and silicon results, in coordination with datapath and DSP owners.\n\n - Build phase-noise and jitter budgets for the link and own the analysis showing where jitter originates.\n\n - Build the verification environment for your blocks — PSS/HB and transient noise analysis, PVT corner coverage, Monte Carlo, and post-layout back-annotated simulation — and provide behavioral and Verilog-A models for full-chip verification.\n\n - Drive layout of your blocks in deep sub-micron nodes, with particular attention to inductor and VCO layout, shielding, symmetry, and supply/substrate isolation.\n\n - Take your blocks through silicon bring-up and bench characterization — phase noise, jitter tolerance, lock range — and correlate measured results against simulation.\n\n\nWHAT YOU WILL BRING\n\n - BS/MS/PhD in Electrical Engineering, with 5+ years of hands-on analog and mixed-signal circuit design experience.\n\n - Demonstrated ownership of a low-jitter PLL, phase interpolator, or CDR loop through silicon in a high-speed SerDes link.\n\n - Deep knowledge of PLL architecture, loop dynamics, VCO design, and phase noise theory, along with working knowledge of CDR architectures and the loop analysis behind jitter tolerance and jitter transfer.\n\n - Practical experience with jitter decomposition and budgeting methodology, including quantifying contributors in simulation.\n\n - Circuit design experience in advanced FinFET or GAA process nodes, using industry-standard analog design and simulation tools and methodologies (e.g., Cadence Virtuoso, Spectre, Monte Carlo/corner analysis, post-layout simulation).\n\n - Silicon bring-up and bench debug experience with lab equipment such as phase noise analyzers, high-speed scopes, and BERTs.\n\n\nPREFERRED\n\n - Die-to-die interconnect experience — UCIe, BoW, or a proprietary D2D PHY — including clocking architecture choices specific to short-reach, low-energy-per-bit links.\n\n - Forwarded-clock and matched-source-synchronous architectures alongside embedded-clock CDR.\n\n - Digital and hybrid PLL/CDR implementations, including the digital calibration around them.\n\n - Familiarity with relevant specifications: UCIe, OIF CEI-112G/224G, IEEE 802.3, PCIe Gen6/Gen7.\n\n - Experience porting a clocking block across process nodes, with a realistic sense of what that effort costs.\n\n - Participation in or contribution to standards bodies.\n\nEqual Opportunity Employment Policy\n\nd-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.\n\nd-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation. ","compensation":{"compensationTierSummary":"$155K – $250K • Offers Equity • Offers Bonus","scrapeableCompensationSalarySummary":"$155K - $250K","compensationTiers":[{"id":"4f7b60c6-682a-4320-bc1f-a0935c7534a4","tierSummary":"$155K – $250K • Offers Equity • Offers Bonus","title":null,"additionalInformation":null,"components":[{"id":"242324c9-06cf-4fec-be00-922c303cfff1","summary":"$155K – $250K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":155000,"maxValue":250000},{"id":"a075d476-73fb-42ce-b94e-be901e70335e","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"1b6fbac8-a4af-4841-ad65-a9098e2a866d","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":155000,"maxValue":250000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}},{"id":"c3432cd7-f61b-4023-8e18-68d30c4aeee9","title":"Staff Analog Design Engineer, TX/RX Datapath ","department":"Hardware Engineering","team":"Analog Circuits","employmentType":"FullTime","location":"Santa Clara","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-08-19T03:58:20.011+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"Ca","addressCountry":"United States","addressLocality":"Santa Clara, Ca"}},"jobUrl":"https://jobs.ashbyhq.com/d-Matrix/c3432cd7-f61b-4023-8e18-68d30c4aeee9","applyUrl":"https://jobs.ashbyhq.com/d-Matrix/c3432cd7-f61b-4023-8e18-68d30c4aeee9/application","descriptionHtml":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.
We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI.
You will own the transmit and receive datapath of the high-speed SerDes on d-Matrix's IO chiplet — the interconnect that lets our inference accelerators scale beyond a single package. This is a hands-on, transistor-level design role on a small team, where you will personally carry blocks from specification through silicon characterization rather than handing specs off to someone else. The work spans porting proven datapath blocks to new process nodes and ground-up design of new blocks for our next-generation link, working closely with layout, package/signal-integrity, backend, and firmware engineers to bring your designs to working silicon.
Own transistor-level design of the SerDes transmit path: output drivers (SST and/or CML), pre-driver and serializer stages, and transmit-side FFE.
Own transistor-level design of the receive front-end: termination and ESD-aware input network, CTLE, VGA, samplers, and where applicable ADC-based front-ends.
Design and verify the equalization path — DFE and FFE architecture, tap resolution, and adaptation behavior — and own the trade study behind the architecture you choose.
Derive block-level specifications from link budgets covering insertion loss, crosstalk, reflection, jitter, and BER targets, and defend those specifications in design review.
Build the verification environment for your blocks — testbenches, PVT corner coverage, six-sigma Monte Carlo, transient noise, and post-layout back-annotated simulation — and provide behavioral and Verilog-A models for full-chip verification, supporting backend engineers through integration.
Perform link and channel modeling in MATLAB, Python, or equivalent — S-parameter channel and package models, statistical eye and BER analysis, and equalization trade studies.
Drive layout of your blocks in deep sub-micron nodes, working with layout engineers on floorplan, matching, shielding, current density, and parasitic control, and co-designing with package/signal-integrity engineers on bump maps, escape routing, and channel budgets.
Contribute to testboard design, then take your blocks through silicon bring-up and bench characterization, correlating measured performance against simulation.
BS/MS/PhD in Electrical Engineering, with 8+ years of hands-on analog and mixed-signal circuit design experience.
Demonstrated ownership of a SerDes transmit or receive datapath block through to working silicon in a high-speed link.
Deep knowledge of high-speed driver design, receive front-end design, and equalization, with practical familiarity with the adjacent clocking and CDR blocks your datapath interfaces with.
Practical command of jitter and noise analysis — decomposition, budgeting, and the simulation methodology to quantify each contributor.
Circuit design experience in advanced FinFET or GAA process nodes, with hands-on use of industry-standard analog design and simulation tools and methodologies (e.g., Cadence Virtuoso, Spectre, Monte Carlo/corner analysis, post-layout simulation) and link/channel modeling (e.g., MATLAB, Python, S-parameter models).
Silicon bring-up and bench debug experience with high-speed lab equipment such as scopes and BERTs, with the judgment to distinguish a design problem from a measurement problem.
Die-to-die interconnect experience — UCIe, BoW, or a proprietary D2D PHY — including the specific constraints of short-reach, low-energy-per-bit links.
PAM4 signaling and DSP-based receiver architectures, including ADC-based front-ends.
Familiarity with relevant specifications: UCIe, OIF CEI-112G/224G, IEEE 802.3, PCIe Gen6/Gen7.
Experience porting a datapath block across process nodes, with a realistic sense of what that effort actually costs.
IBIS-AMI model generation, or SerDes ATE and production test development.
Participation in or contribution to standards bodies.
Equal Opportunity Employment Policy
d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.
d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.
","descriptionPlain":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.\n\nWe value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI. \n\n\nROLE OVERVIEW\n\nYou will own the transmit and receive datapath of the high-speed SerDes on d-Matrix's IO chiplet — the interconnect that lets our inference accelerators scale beyond a single package. This is a hands-on, transistor-level design role on a small team, where you will personally carry blocks from specification through silicon characterization rather than handing specs off to someone else. The work spans porting proven datapath blocks to new process nodes and ground-up design of new blocks for our next-generation link, working closely with layout, package/signal-integrity, backend, and firmware engineers to bring your designs to working silicon.\n\n\nWHAT YOU WILL DO\n\n - Own transistor-level design of the SerDes transmit path: output drivers (SST and/or CML), pre-driver and serializer stages, and transmit-side FFE.\n\n - Own transistor-level design of the receive front-end: termination and ESD-aware input network, CTLE, VGA, samplers, and where applicable ADC-based front-ends.\n\n - Design and verify the equalization path — DFE and FFE architecture, tap resolution, and adaptation behavior — and own the trade study behind the architecture you choose.\n\n - Derive block-level specifications from link budgets covering insertion loss, crosstalk, reflection, jitter, and BER targets, and defend those specifications in design review.\n\n - Build the verification environment for your blocks — testbenches, PVT corner coverage, six-sigma Monte Carlo, transient noise, and post-layout back-annotated simulation — and provide behavioral and Verilog-A models for full-chip verification, supporting backend engineers through integration.\n\n - Perform link and channel modeling in MATLAB, Python, or equivalent — S-parameter channel and package models, statistical eye and BER analysis, and equalization trade studies.\n\n - Drive layout of your blocks in deep sub-micron nodes, working with layout engineers on floorplan, matching, shielding, current density, and parasitic control, and co-designing with package/signal-integrity engineers on bump maps, escape routing, and channel budgets.\n\n - Contribute to testboard design, then take your blocks through silicon bring-up and bench characterization, correlating measured performance against simulation.\n\n\nWHAT YOU WILL BRING\n\n - BS/MS/PhD in Electrical Engineering, with 8+ years of hands-on analog and mixed-signal circuit design experience.\n\n - Demonstrated ownership of a SerDes transmit or receive datapath block through to working silicon in a high-speed link.\n\n - Deep knowledge of high-speed driver design, receive front-end design, and equalization, with practical familiarity with the adjacent clocking and CDR blocks your datapath interfaces with.\n\n - Practical command of jitter and noise analysis — decomposition, budgeting, and the simulation methodology to quantify each contributor.\n\n - Circuit design experience in advanced FinFET or GAA process nodes, with hands-on use of industry-standard analog design and simulation tools and methodologies (e.g., Cadence Virtuoso, Spectre, Monte Carlo/corner analysis, post-layout simulation) and link/channel modeling (e.g., MATLAB, Python, S-parameter models).\n\n - Silicon bring-up and bench debug experience with high-speed lab equipment such as scopes and BERTs, with the judgment to distinguish a design problem from a measurement problem.\n\n\nPREFERRED\n\n - Die-to-die interconnect experience — UCIe, BoW, or a proprietary D2D PHY — including the specific constraints of short-reach, low-energy-per-bit links.\n\n - PAM4 signaling and DSP-based receiver architectures, including ADC-based front-ends.\n\n - Familiarity with relevant specifications: UCIe, OIF CEI-112G/224G, IEEE 802.3, PCIe Gen6/Gen7.\n\n - Experience porting a datapath block across process nodes, with a realistic sense of what that effort actually costs.\n\n - IBIS-AMI model generation, or SerDes ATE and production test development.\n\n - Participation in or contribution to standards bodies.\n\nEqual Opportunity Employment Policy\n\nd-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.\n\nd-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation. ","compensation":{"compensationTierSummary":"$155K – $250K • Offers Equity • Offers Bonus","scrapeableCompensationSalarySummary":"$155K - $250K","compensationTiers":[{"id":"23e98a20-ce85-457c-adbd-423d9feaae6d","tierSummary":"$155K – $250K • Offers Equity • Offers Bonus","title":null,"additionalInformation":null,"components":[{"id":"aeb2e494-8183-44bd-9134-a46c9531f63c","summary":"$155K – $250K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":155000,"maxValue":250000},{"id":"663ee3e2-3eb0-4de1-b790-faff65c59889","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"645368e3-23a4-447c-92ca-70b45956fb14","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":155000,"maxValue":250000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}},{"id":"04e4508b-0707-4c0f-b07e-5a9443c935f4","title":"Principal, Printed Circuits Boards Manufacturing Engineer","department":"Operations and Supply Chain","team":"Operations and Supply Chain","employmentType":"FullTime","location":"Santa Clara","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"Taipei","address":{"postalAddress":{"addressRegion":"Hsienchu","addressCountry":"Taiwan","addressLocality":"Taipei"}}}],"publishedAt":"2026-08-31T20:37:24.333+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"Ca","addressCountry":"United States","addressLocality":"Santa Clara, Ca"}},"jobUrl":"https://jobs.ashbyhq.com/d-Matrix/04e4508b-0707-4c0f-b07e-5a9443c935f4","applyUrl":"https://jobs.ashbyhq.com/d-Matrix/04e4508b-0707-4c0f-b07e-5a9443c935f4/application","descriptionHtml":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.
We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI.
Title: Principal Printed Circuit Boards Manufacturing Engineer
Location: Onsite — Santa Clara, CA HQ, or Remote — Taiwan
Role Overview
d-Matrix is looking for a principal PCB manufacturing engineer to own the fabrication technology and supplier ecosystem behind our current and next-generation AI hardware. This role carries deep subject-matter expertise in PCB manufacturing and design principles and is responsible for developing and deploying advanced PCB fabrication capabilities that hit world-class marks for time-to-market, cost, quality, and delivery. You will drive DFM strategy, qualify and audit global fabrication suppliers, define reliability standards, and evaluate emerging materials and stackup technologies. You will partner closely with CAD, signal/power integrity, and sourcing teams to catch manufacturing risk early and build a resilient, second-sourced supply chain. This is a high-impact, cross-functional role for someone who wants to shape how d-Matrix's boards get built at scale.
What You Will Do
Perform PCB DFM/DFA assessments on current and next-generation designs to identify and mitigate yield and cost risk.
Establish and enforce company-wide PCB design guidelines.
Audit and qualify global PCB fabrication partners.
Drive supplier process controls, 8D corrective actions, and continuous yield and cost improvements.
Define IPC-compliant reliability standards, including CAF, IST, and microvia reliability testing.
Monitor vendor SPC metrics against those standards.
Evaluate advanced PCB materials, high-layer-count stackups, HDI/microvias, and signal/power integrity and thermal management requirements.
Engage early (\"left-shift\") with CAD, SI/PI, and sourcing teams to de-risk production and support second-sourcing strategies.
What You Will Bring
Master's degree in electrical, materials, mechanical, or manufacturing engineering, or a related field.
10+ years of experience in PCB design, fabrication, or supplier quality for high-performance computing, AI hardware, networking, or semiconductors.
Deep knowledge of high-layer-count (HLC) boards, HDI, microvias, sequential lamination, and ultra-low-loss laminates.
Fluency in IPC standards: IPC-6012, IPC-A-600, IPC-2221/2222, IPC-TM-650, IPC-4101.
Expertise in SPC, DFMEA/PFMEA, 8D root-cause analysis, IST, and CAF testing.
Equal Opportunity Employment Policy
d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.
d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.
","descriptionPlain":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.\n\nWe value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI. \n\nTitle: Principal Printed Circuit Boards Manufacturing Engineer \nLocation: Onsite — Santa Clara, CA HQ, or Remote — Taiwan\n\nRole Overview\n\nd-Matrix is looking for a principal PCB manufacturing engineer to own the fabrication technology and supplier ecosystem behind our current and next-generation AI hardware. This role carries deep subject-matter expertise in PCB manufacturing and design principles and is responsible for developing and deploying advanced PCB fabrication capabilities that hit world-class marks for time-to-market, cost, quality, and delivery. You will drive DFM strategy, qualify and audit global fabrication suppliers, define reliability standards, and evaluate emerging materials and stackup technologies. You will partner closely with CAD, signal/power integrity, and sourcing teams to catch manufacturing risk early and build a resilient, second-sourced supply chain. This is a high-impact, cross-functional role for someone who wants to shape how d-Matrix's boards get built at scale.\n\nWhat You Will Do\n\n - Perform PCB DFM/DFA assessments on current and next-generation designs to identify and mitigate yield and cost risk.\n\n - Establish and enforce company-wide PCB design guidelines.\n\n - Audit and qualify global PCB fabrication partners.\n\n - Drive supplier process controls, 8D corrective actions, and continuous yield and cost improvements.\n\n - Define IPC-compliant reliability standards, including CAF, IST, and microvia reliability testing.\n\n - Monitor vendor SPC metrics against those standards.\n\n - Evaluate advanced PCB materials, high-layer-count stackups, HDI/microvias, and signal/power integrity and thermal management requirements.\n\n - Engage early (\"left-shift\") with CAD, SI/PI, and sourcing teams to de-risk production and support second-sourcing strategies.\n\nWhat You Will Bring\n\n - Master's degree in electrical, materials, mechanical, or manufacturing engineering, or a related field.\n\n - 10+ years of experience in PCB design, fabrication, or supplier quality for high-performance computing, AI hardware, networking, or semiconductors.\n\n - Deep knowledge of high-layer-count (HLC) boards, HDI, microvias, sequential lamination, and ultra-low-loss laminates.\n\n - Fluency in IPC standards: IPC-6012, IPC-A-600, IPC-2221/2222, IPC-TM-650, IPC-4101.\n\n - Expertise in SPC, DFMEA/PFMEA, 8D root-cause analysis, IST, and CAF testing.\n\nEqual Opportunity Employment Policy\n\nd-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.\n\nd-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation. ","compensation":{"compensationTierSummary":"$195K – $285K • Offers Equity • Offers Bonus","scrapeableCompensationSalarySummary":"$195K - $285K","compensationTiers":[{"id":"b9097da2-e6d3-4e3d-b351-f63051c38179","tierSummary":"$195K – $285K • Offers Equity • Offers Bonus","title":null,"additionalInformation":null,"components":[{"id":"d490f931-223f-4f6b-b1eb-c1489a6f64e1","summary":"$195K – $285K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":195000,"maxValue":285000},{"id":"dd20c423-1e17-44c8-ad25-5c3aa03fbbcf","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"c38a59f8-bde5-404e-9481-0ba0ee1407c5","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":195000,"maxValue":285000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}},{"id":"94b0f4c6-563c-4042-a4e8-ed6071213bbd","title":"Sr. Staff PCB Design Engineer","department":"Systems Engineering","team":"Systems Engineering","employmentType":"FullTime","location":"Santa Clara","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-08-28T02:47:51.856+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"Ca","addressCountry":"United States","addressLocality":"Santa Clara, Ca"}},"jobUrl":"https://jobs.ashbyhq.com/d-Matrix/94b0f4c6-563c-4042-a4e8-ed6071213bbd","applyUrl":"https://jobs.ashbyhq.com/d-Matrix/94b0f4c6-563c-4042-a4e8-ed6071213bbd/application","descriptionHtml":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.
We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI.
Role Overview
As Sr. Staff PCB Design Engineer, you will lead the physical design of the boards that connect d-Matrix's AI silicon to the world. Our \"Corsair\" platforms push the limits of signal density and power delivery, and you will own layout for high-complexity, high-layer-count PCBAs (20+ layers) — ensuring 112G/224G SerDes signals stay clean and thousands of amps are delivered with minimal loss. Beyond hands-on layout, you will serve as custodian of our Design Methodology, driving the automation, tooling, and constraint management processes that let hardware development scale with precision and speed. You'll partner closely with power, ASIC, and manufacturing teams, and have the autonomy to build layout infrastructure from the ground up.
What You Will Do
Lead full-cycle layout for high-complexity AI accelerator cards (PCIe form factors) and system baseboards
Architect and manage the Constraint Manager (CM) hierarchy in Cadence Allegro, defining the source of truth for high-speed routing rules and electrical constraints
Develop automation scripts (SKILL, Python, or TCL) to streamline layout tasks, DRC checks, and reporting
Execute layout for ultra-high-speed interfaces including PCIe Gen5/6, CXL, and custom die-to-die (D2D) interconnects
Partner with Power Engineers on PDN strategy, including multi-phase VRM layouts and decoupling capacitor placement for high-TDP ASICs
Drive PCB stack-up definition, including advanced low-loss materials (e.g., Megtron 7/8) and hybrid build-ups
Serve as primary interface with fabricators and CMs to ensure DFM, DFT, and DFA requirements are met for high-yield production
What You Will Bring
BS in Electrical/Electronic Engineering or equivalent practical experience
10+ years of experience in high-speed, high-density PCB layout for servers, networking, or AI accelerators
Proficiency in Cadence Allegro Constraint Manager, including T-junctions, differential pair phase-tuning, and Z-axis delay matching
Proven ability to write and deploy SKILL scripts or use Allegro's API to automate design audits and layout routines
Deep understanding of high-speed routing techniques (back-drilling, via-in-pad, skip-vias) and HDI/ELIC design
Proven track record routing 112G SerDes and complex DDR5/HBM interfaces
Preferred Qualifications
Experience establishing a Library Management System and standardized footprint/padstack creation processes
Familiarity with PLM/PDM integration for managing layout releases and ECO workflows
Knowledge of PCB warpage mitigation strategies for large-form-factor ASICs and MCMs
Equal Opportunity Employment Policy
d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.
d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.
","descriptionPlain":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.\n\nWe value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI. \n\n\n\nRole Overview\n\nAs Sr. Staff PCB Design Engineer, you will lead the physical design of the boards that connect d-Matrix's AI silicon to the world. Our \"Corsair\" platforms push the limits of signal density and power delivery, and you will own layout for high-complexity, high-layer-count PCBAs (20+ layers) — ensuring 112G/224G SerDes signals stay clean and thousands of amps are delivered with minimal loss. Beyond hands-on layout, you will serve as custodian of our Design Methodology, driving the automation, tooling, and constraint management processes that let hardware development scale with precision and speed. You'll partner closely with power, ASIC, and manufacturing teams, and have the autonomy to build layout infrastructure from the ground up.\n\n\n\nWhat You Will Do\n\n - Lead full-cycle layout for high-complexity AI accelerator cards (PCIe form factors) and system baseboards\n\n - Architect and manage the Constraint Manager (CM) hierarchy in Cadence Allegro, defining the source of truth for high-speed routing rules and electrical constraints\n\n - Develop automation scripts (SKILL, Python, or TCL) to streamline layout tasks, DRC checks, and reporting\n\n - Execute layout for ultra-high-speed interfaces including PCIe Gen5/6, CXL, and custom die-to-die (D2D) interconnects\n\n - Partner with Power Engineers on PDN strategy, including multi-phase VRM layouts and decoupling capacitor placement for high-TDP ASICs\n\n - Drive PCB stack-up definition, including advanced low-loss materials (e.g., Megtron 7/8) and hybrid build-ups\n\n - Serve as primary interface with fabricators and CMs to ensure DFM, DFT, and DFA requirements are met for high-yield production\n\nWhat You Will Bring\n\n - BS in Electrical/Electronic Engineering or equivalent practical experience\n\n - 10+ years of experience in high-speed, high-density PCB layout for servers, networking, or AI accelerators\n\n - Proficiency in Cadence Allegro Constraint Manager, including T-junctions, differential pair phase-tuning, and Z-axis delay matching\n\n - Proven ability to write and deploy SKILL scripts or use Allegro's API to automate design audits and layout routines\n\n - Deep understanding of high-speed routing techniques (back-drilling, via-in-pad, skip-vias) and HDI/ELIC design\n\n - Proven track record routing 112G SerDes and complex DDR5/HBM interfaces\n\nPreferred Qualifications\n\n - Experience establishing a Library Management System and standardized footprint/padstack creation processes\n\n - Familiarity with PLM/PDM integration for managing layout releases and ECO workflows\n\n - Knowledge of PCB warpage mitigation strategies for large-form-factor ASICs and MCMs\n\nEqual Opportunity Employment Policy\n\nd-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.\n\nd-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation. ","compensation":{"compensationTierSummary":"$175K – $265K • Offers Equity • Offers Bonus","scrapeableCompensationSalarySummary":"$175K - $265K","compensationTiers":[{"id":"b31b13d5-fdd2-4c4f-ae7b-ca145ed94c45","tierSummary":"$175K – $265K • Offers Equity • Offers Bonus","title":null,"additionalInformation":null,"components":[{"id":"06a0d8e8-741e-4f41-96c3-02d887fb9dc9","summary":"$175K – $265K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":175000,"maxValue":265000},{"id":"c55a2754-9a00-4f25-ba9b-ff65ba6d9463","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"3c9995c0-b500-4c2b-a41d-526e586a339d","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":175000,"maxValue":265000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}},{"id":"b08916b1-9437-4f4d-99e6-702f9952b986","title":"HR Technology & Analytics Manager","department":"G&A","team":"Human Resources","employmentType":"FullTime","location":"Santa Clara","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-09-09T23:19:36.783+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"Ca","addressCountry":"United States","addressLocality":"Santa Clara, Ca"}},"jobUrl":"https://jobs.ashbyhq.com/d-Matrix/b08916b1-9437-4f4d-99e6-702f9952b986","applyUrl":"https://jobs.ashbyhq.com/d-Matrix/b08916b1-9437-4f4d-99e6-702f9952b986/application","descriptionHtml":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.
We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI.
Role Overview
d-Matrix is building the next generation of AI inference technology, and scaling that ambition requires an equally forward-looking approach to how we build and run our People function. We're looking for an HR Technology & Analytics Manager to own the technology, data, and workflow foundation across People Operations, Talent Acquisition, HR Business Partnership, payroll, benefits, performance, and compensation. This is a hands-on role for someone who pairs deep HR technology expertise with strong analytical capability and a genuine interest in how automation and AI can improve how People teams work. You'll serve as the primary owner of HR technology strategy and administration, people data governance, and process optimization — partnering closely with the CHRO, People Operations, HRBPs, Talent Acquisition, Finance, and IT to build reliable systems and a trusted source of People data. You'll also play a key role in People-related M&A diligence and integration.
What You Will Do
Own and optimize the HR technology ecosystem — HRIS, talent acquisition, performance/talent management, benefits, retirement, and payroll-related integrations — including system configuration, data architecture, and permissions.
Assess the current HR technology environment, build a forward-looking roadmap, and lead requirements gathering, RFPs, vendor evaluation, and implementation when new systems are needed.
Map and redesign end-to-end People processes (recruiting-to-hire, onboarding, promotions, compensation changes, transfers, leaves, offboarding) to improve accuracy, speed, and the employee/manager experience.
Identify manual or error-prone processes and implement automation and practical AI applications across People operations, reporting, and workflows.
Establish data governance, controls, and recurring audit practices, translating data into insights and dashboards that support headcount, workforce, and organizational health decisions.
Own data standards and be hands-on in the systems — entering, correcting, and reconciling data during cleanup, implementation, or high-priority issue resolution.
Partner with People Operations and payroll providers to ensure accurate data flow into U.S. and international payroll, benefits, and retirement processes.
Lead HR technology, data, and systems integration workstreams for M&A, including assessing acquired-company systems and building repeatable integration processes.
What You Will Bring
8+ years of progressive experience in HR technology, HRIS, People Operations, or People Analytics, with significant hands-on ownership of HR technology and employee data.
Demonstrated experience owning multiple HR technology platforms and the integrations/data flows between them.
Deep experience administering a major HRIS platform.
Strong People Analytics capability, with the ability to move from raw data to meaningful business insights.
Advanced Excel skills and strong overall data fluency.
Experience designing and improving HR workflows, approval processes, and automation.
Demonstrated ability to identify, investigate, and resolve complex data and systems issues.
Strong project management, communication, and cross-functional partnership skills.
Bachelor's degree or equivalent experience.
Preferred Qualifications
Experience with ADP Workforce Now.
Experience supporting People-related M&A diligence, data migration, or integration.
Understanding of U.S. and international/global payroll, benefits, and retirement-plan data flows.
Experience in a high-growth, global technology environment.
Demonstrated experience applying AI and emerging technologies to improve HR processes and productivity.
Equal Opportunity Employment Policy
d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.
d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.
","descriptionPlain":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.\n\nWe value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI. \n\n\n\nRole Overview\n\nd-Matrix is building the next generation of AI inference technology, and scaling that ambition requires an equally forward-looking approach to how we build and run our People function. We're looking for an HR Technology & Analytics Manager to own the technology, data, and workflow foundation across People Operations, Talent Acquisition, HR Business Partnership, payroll, benefits, performance, and compensation. This is a hands-on role for someone who pairs deep HR technology expertise with strong analytical capability and a genuine interest in how automation and AI can improve how People teams work. You'll serve as the primary owner of HR technology strategy and administration, people data governance, and process optimization — partnering closely with the CHRO, People Operations, HRBPs, Talent Acquisition, Finance, and IT to build reliable systems and a trusted source of People data. You'll also play a key role in People-related M&A diligence and integration.\n\nWhat You Will Do\n\n - Own and optimize the HR technology ecosystem — HRIS, talent acquisition, performance/talent management, benefits, retirement, and payroll-related integrations — including system configuration, data architecture, and permissions.\n\n - Assess the current HR technology environment, build a forward-looking roadmap, and lead requirements gathering, RFPs, vendor evaluation, and implementation when new systems are needed.\n\n - Map and redesign end-to-end People processes (recruiting-to-hire, onboarding, promotions, compensation changes, transfers, leaves, offboarding) to improve accuracy, speed, and the employee/manager experience.\n\n - Identify manual or error-prone processes and implement automation and practical AI applications across People operations, reporting, and workflows.\n\n - Establish data governance, controls, and recurring audit practices, translating data into insights and dashboards that support headcount, workforce, and organizational health decisions.\n\n - Own data standards and be hands-on in the systems — entering, correcting, and reconciling data during cleanup, implementation, or high-priority issue resolution.\n\n - Partner with People Operations and payroll providers to ensure accurate data flow into U.S. and international payroll, benefits, and retirement processes.\n\n - Lead HR technology, data, and systems integration workstreams for M&A, including assessing acquired-company systems and building repeatable integration processes.\n\nWhat You Will Bring\n\n - 8+ years of progressive experience in HR technology, HRIS, People Operations, or People Analytics, with significant hands-on ownership of HR technology and employee data.\n\n - Demonstrated experience owning multiple HR technology platforms and the integrations/data flows between them.\n\n - Deep experience administering a major HRIS platform.\n\n - Strong People Analytics capability, with the ability to move from raw data to meaningful business insights.\n\n - Advanced Excel skills and strong overall data fluency.\n\n - Experience designing and improving HR workflows, approval processes, and automation.\n\n - Demonstrated ability to identify, investigate, and resolve complex data and systems issues.\n\n - Strong project management, communication, and cross-functional partnership skills.\n\n - Bachelor's degree or equivalent experience.\n\nPreferred Qualifications\n\n - Experience with ADP Workforce Now.\n\n - Experience supporting People-related M&A diligence, data migration, or integration.\n\n - Understanding of U.S. and international/global payroll, benefits, and retirement-plan data flows.\n\n - Experience in a high-growth, global technology environment.\n\n - Demonstrated experience applying AI and emerging technologies to improve HR processes and productivity.\n\nEqual Opportunity Employment Policy\n\nd-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.\n\nd-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation. ","compensation":{"compensationTierSummary":"$150K – $200K • Offers Equity • Offers Bonus","scrapeableCompensationSalarySummary":"$150K - $200K","compensationTiers":[{"id":"1b3d48c1-f330-45a0-8749-fe28864fed25","tierSummary":"$150K – $200K • Offers Equity • Offers Bonus","title":null,"additionalInformation":null,"components":[{"id":"ed460987-c322-40dd-b211-fd1c7b2c1821","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"92e933eb-62b4-40f7-8410-40d83954f733","summary":"$150K – $200K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":150000,"maxValue":200000},{"id":"e616d314-4a86-449d-94ac-90685b63c8a9","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":150000,"maxValue":200000},{"compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}},{"id":"505b7fa6-666a-44d5-9b23-88b7eec20502","title":"Director Site Reliability Engineer, AI Infrastructure ","department":"G&A","team":"Corporate IT","employmentType":"FullTime","location":"Santa Clara","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-09-26T17:25:05.406+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"Ca","addressCountry":"United States","addressLocality":"Santa Clara, Ca"}},"jobUrl":"https://jobs.ashbyhq.com/d-Matrix/505b7fa6-666a-44d5-9b23-88b7eec20502","applyUrl":"https://jobs.ashbyhq.com/d-Matrix/505b7fa6-666a-44d5-9b23-88b7eec20502/application","descriptionHtml":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.
We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI.
Role Overview
d-Matrix designs and manufactures purpose-built AI inference silicon, and the infrastructure underpinning our engineering organization must be as reliable and scalable as the chips we build. This role builds and leads d-Matrix's Site Reliability Engineering function from the ground up, owning the infrastructure that development, validation, and customer-facing deployments run on — spanning colocation facilities, on-premises lab clusters, cloud environments (AWS, Azure, GCP), and customer-facing platform services. You will hire and grow the team, set technical direction, own SLOs for critical systems, and serve as the senior escalation point for incidents, all while remaining hands-on. You will partner closely with Software Tools, QA DevOps, and Engineering teams whose workflows run on this infrastructure, as well as Networking Operations and IT Operations, to drive reliability, cost efficiency, and the removal of technical debt.
What You Will Do
Build and lead the SRE function from scratch — define its charter, establish SRE as a discipline across hardware and software engineering, and hire, develop, and retain a team of 1–3 SRE engineers.
Direct a dedicated Data Center & Lab Technician team, setting work priorities and operational standards across on-premises and colocation facilities.
Own 24×7 reliability across colocation, on-premises lab clusters, cloud, and customer-facing platform services, designing for failure domains, progressive delivery, and strict change control.
Establish SRE process from zero: define SLIs/SLOs and error budgets, design on-call rotations (including a follow-the-sun model as d-Matrix expands globally), and build the incident and RCA management framework.
Own the full observability stack (Prometheus, Grafana, Datadog, Splunk or equivalent), instrumenting metrics, traces, and logs for SLO visibility and alert design.
Drive IaC-first automation (Terraform, Ansible) and build self-healing infrastructure — host lifecycle automation, fleet auto-remediation, and AIOps-driven alerting.
Own FinOps and capacity planning across cloud, colocation, and on-premises tiers, including spend attribution, TCO modeling, and workload placement decisions.
Lead the migration from ad-hoc JBOD storage to an enterprise-grade shared storage platform spanning on-prem, colocation, and cloud, including architecture, vendor selection, and DR design.
What You Will Bring
Bachelor's or Master's in Computer Science, Electrical Engineering, or a related field; 15+ years in SRE, infrastructure engineering, or production engineering.
5+ years leading SRE or infrastructure engineering teams, including experience building or significantly rebuilding a function, not just managing a steady-state team.
Demonstrated track record of establishing SRE as a discipline in an organization that lacked it: defining SLOs, creating on-call frameworks, standing up observability, and driving cultural change with teams coming from a reactive ops background.
Deep Linux systems expertise: bare-metal operations, enterprise shared storage platforms (NAS/SAN, NFS/SMB at scale, snapshot and replication architectures), and hybrid-cloud storage integration.
Proven experience operating colocation and on-premises hardware at scale: server lifecycle, power and cooling awareness, rack-level networking.
Hands-on Infrastructure as Code fluency with Terraform and Ansible at production scale — module design, remote state, environment isolation, and change governance.
Kubernetes cluster operations: lifecycle management, workload reliability, storage, and RBAC at scale.
Full observability stack ownership (Prometheus, Grafana, Datadog and/or Splunk or equivalent) for SLO definition, alert design, and end-to-end signal quality.
Strong Python and/or Go scripting for production services and automation that safely touches real infrastructure.
Executive communication skills, translating infrastructure health and operational risk into clear narratives for senior leadership, including non-technical stakeholders.
Ability to operate in a high-ambiguity, low-process environment, building structure rather than inheriting it.
Preferred Qualifications
Experience operating customer-facing infrastructure or platform services, with reliability expectations beyond internal tooling.
Knowledge of high-speed interconnect fabrics (InfiniBand, RoCE, or NVLink) — setup, troubleshooting, and performance tuning.
HPC job scheduler experience (Slurm, LSF, or equivalent) — setup, tuning, and integration with infrastructure automation.
Multi-cloud hybrid operations across AWS, Azure, and GCP alongside on-prem/colo, with unified observability and IaC.
FinOps expertise: cloud spend attribution, TCO modeling across cloud vs. on-prem vs. colo, and translating cost data into workload placement recommendations.
ITIL knowledge or an equivalent structured incident/problem/change management framework.
Published technical writing, conference talks, or open-source contributions in reliability, observability, or HPC infrastructure.
Equal Opportunity Employment Policy
d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.
d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.
","descriptionPlain":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.\n\nWe value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI. \n\n\n\nRole Overview\n\nd-Matrix designs and manufactures purpose-built AI inference silicon, and the infrastructure underpinning our engineering organization must be as reliable and scalable as the chips we build. This role builds and leads d-Matrix's Site Reliability Engineering function from the ground up, owning the infrastructure that development, validation, and customer-facing deployments run on — spanning colocation facilities, on-premises lab clusters, cloud environments (AWS, Azure, GCP), and customer-facing platform services. You will hire and grow the team, set technical direction, own SLOs for critical systems, and serve as the senior escalation point for incidents, all while remaining hands-on. You will partner closely with Software Tools, QA DevOps, and Engineering teams whose workflows run on this infrastructure, as well as Networking Operations and IT Operations, to drive reliability, cost efficiency, and the removal of technical debt.\n\nWhat You Will Do\n\n - Build and lead the SRE function from scratch — define its charter, establish SRE as a discipline across hardware and software engineering, and hire, develop, and retain a team of 1–3 SRE engineers.\n\n - Direct a dedicated Data Center & Lab Technician team, setting work priorities and operational standards across on-premises and colocation facilities.\n\n - Own 24×7 reliability across colocation, on-premises lab clusters, cloud, and customer-facing platform services, designing for failure domains, progressive delivery, and strict change control.\n\n - Establish SRE process from zero: define SLIs/SLOs and error budgets, design on-call rotations (including a follow-the-sun model as d-Matrix expands globally), and build the incident and RCA management framework.\n\n - Own the full observability stack (Prometheus, Grafana, Datadog, Splunk or equivalent), instrumenting metrics, traces, and logs for SLO visibility and alert design.\n\n - Drive IaC-first automation (Terraform, Ansible) and build self-healing infrastructure — host lifecycle automation, fleet auto-remediation, and AIOps-driven alerting.\n\n - Own FinOps and capacity planning across cloud, colocation, and on-premises tiers, including spend attribution, TCO modeling, and workload placement decisions.\n\n - Lead the migration from ad-hoc JBOD storage to an enterprise-grade shared storage platform spanning on-prem, colocation, and cloud, including architecture, vendor selection, and DR design.\n\nWhat You Will Bring\n\n - Bachelor's or Master's in Computer Science, Electrical Engineering, or a related field; 15+ years in SRE, infrastructure engineering, or production engineering.\n\n - 5+ years leading SRE or infrastructure engineering teams, including experience building or significantly rebuilding a function, not just managing a steady-state team.\n\n - Demonstrated track record of establishing SRE as a discipline in an organization that lacked it: defining SLOs, creating on-call frameworks, standing up observability, and driving cultural change with teams coming from a reactive ops background.\n\n - Deep Linux systems expertise: bare-metal operations, enterprise shared storage platforms (NAS/SAN, NFS/SMB at scale, snapshot and replication architectures), and hybrid-cloud storage integration.\n\n - Proven experience operating colocation and on-premises hardware at scale: server lifecycle, power and cooling awareness, rack-level networking.\n\n - Hands-on Infrastructure as Code fluency with Terraform and Ansible at production scale — module design, remote state, environment isolation, and change governance.\n\n - Kubernetes cluster operations: lifecycle management, workload reliability, storage, and RBAC at scale.\n\n - Full observability stack ownership (Prometheus, Grafana, Datadog and/or Splunk or equivalent) for SLO definition, alert design, and end-to-end signal quality.\n\n - Strong Python and/or Go scripting for production services and automation that safely touches real infrastructure.\n\n - Executive communication skills, translating infrastructure health and operational risk into clear narratives for senior leadership, including non-technical stakeholders.\n\n - Ability to operate in a high-ambiguity, low-process environment, building structure rather than inheriting it.\n\nPreferred Qualifications\n\n - Experience operating customer-facing infrastructure or platform services, with reliability expectations beyond internal tooling.\n\n - Knowledge of high-speed interconnect fabrics (InfiniBand, RoCE, or NVLink) — setup, troubleshooting, and performance tuning.\n\n - HPC job scheduler experience (Slurm, LSF, or equivalent) — setup, tuning, and integration with infrastructure automation.\n\n - Multi-cloud hybrid operations across AWS, Azure, and GCP alongside on-prem/colo, with unified observability and IaC.\n\n - FinOps expertise: cloud spend attribution, TCO modeling across cloud vs. on-prem vs. colo, and translating cost data into workload placement recommendations.\n\n - ITIL knowledge or an equivalent structured incident/problem/change management framework.\n\n - Published technical writing, conference talks, or open-source contributions in reliability, observability, or HPC infrastructure.\n\nEqual Opportunity Employment Policy\n\nd-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.\n\nd-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation. ","compensation":{"compensationTierSummary":"$195K – $285K • Offers Equity • Offers Bonus","scrapeableCompensationSalarySummary":"$195K - $285K","compensationTiers":[{"id":"574e84f1-6440-4ff6-8741-bab3f246c6cc","tierSummary":"$195K – $285K • Offers Equity • Offers Bonus","title":null,"additionalInformation":null,"components":[{"id":"0d881705-5e46-4089-a3f5-a48bef9c938d","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"852bbbb3-35cc-4592-b105-9676c4ee4365","summary":"$195K – $285K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":195000,"maxValue":285000},{"id":"4fc6d6a8-e526-4e24-b195-b65c213116f1","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":195000,"maxValue":285000},{"compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}},{"id":"e4cd2043-5639-44b3-aed1-bbb0ad987709","title":"Sr Staff Site Reliability Engineer, AI Infrastructure ","department":"G&A","team":"Corporate IT","employmentType":"FullTime","location":"Santa Clara","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-09-29T23:50:04.525+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"Ca","addressCountry":"United States","addressLocality":"Santa Clara, Ca"}},"jobUrl":"https://jobs.ashbyhq.com/d-Matrix/e4cd2043-5639-44b3-aed1-bbb0ad987709","applyUrl":"https://jobs.ashbyhq.com/d-Matrix/e4cd2043-5639-44b3-aed1-bbb0ad987709/application","descriptionHtml":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.
We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI.
Role Overview
d-Matrix's SRE team owns the infrastructure layer that every engineering team and customer depends on — colocation facilities, on-premises GPU clusters, cloud environments, and the platform services used to deploy and validate d-Matrix hardware and software. This role is a core member of that team, responsible for reliability, automation, and observability across colo, on-premises lab, and cloud environments. You will own systems end-to-end, from provisioning through live incident response, partnering with hardware and software teams on CI/CD, QA, and HPC workloads for silicon development, as well as supporting customer-facing environments where d-Matrix partners collaborate on deployments. This is hands-on, high-ownership work: you'll build and operate real infrastructure, not manage tickets.
What You Will Do
Own reliability and availability across colo server fleets, on-premises lab clusters, cloud environments (AWS, Azure, GCP), and customer-facing platform services.
Perform hands-on infrastructure work — server provisioning, OS configuration, networking, storage, and hardware troubleshooting — from bare metal through auto-scaling Kubernetes environments.
Lead capacity planning and hardware lifecycle management for your domains, and track cloud spend to support FinOps and workload placement decisions.
Drive all provisioning, deployment, and operational changes through Terraform and/or Ansible rather than manual steps, and contribute to shared IaC modules used across the global SRE and data center services teams.
Build and document automation that eliminates toil — host lifecycle management, fleet health checks, auto-remediation, self-service tooling, and networking automation for cluster interconnects and lab configurations.
Design and maintain monitoring, alerting, and SLIs (Prometheus/Grafana, DataDog, Splunk, or equivalent), contributing to AIOps-driven detection workflows.
Participate in on-call rotation, triaging and resolving incidents from bare metal to application layer, and produce high-quality RCAs for P0/P1 incidents.
Support platform services used by internal teams and external customers, ensuring QoS and uptime commitments and documenting operational runbooks.
What You Will Bring
Bachelor's or Master's in Computer Science, Electrical Engineering, or a related field (or equivalent experience); 7+ years in SRE, infrastructure engineering, or systems administration.
Strong Linux systems knowledge with hands-on colocation or on-premises server infrastructure — networking, storage, systemd, kernel parameters, performance diagnostics, physical hardware, rack networking, and bare-metal provisioning.
Production IaC experience with Terraform and/or Ansible — writing and maintaining configurations, not just running existing playbooks.
Kubernetes operational experience: cluster troubleshooting, workload management, storage, and networking.
Experience with observability tooling — Prometheus/Grafana, DataDog, Splunk, or equivalent — including building dashboards and writing alert rules.
Production-quality Python and/or Bash scripting, paired with incident response experience: structured triage, RCA production, and follow-through on action items.
Preferred Qualifications
Experience operating customer-facing infrastructure or platform services with external reliability expectations.
Cloud infrastructure operations across AWS, Azure, or GCP, including hybrid environments spanning cloud and on-prem.
Experience deploying and operating AI-driven infrastructure tools — AIOps platforms, intelligent alerting, anomaly detection, or LLM-assisted diagnostics — in production.
HPC job scheduler experience: Slurm, LSF, or equivalent.
Knowledge of high-speed interconnect fabrics: InfiniBand, RoCE, or NVLink.
Experience with large-scale infrastructure automation — host lifecycle management, fleet auto-healing, or AIOps-driven operations — building tooling that reduces manual intervention, not just running it.
Equal Opportunity Employment Policy
d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.
d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.
","descriptionPlain":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.\n\nWe value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI. \n\nRole Overview\n\nd-Matrix's SRE team owns the infrastructure layer that every engineering team and customer depends on — colocation facilities, on-premises GPU clusters, cloud environments, and the platform services used to deploy and validate d-Matrix hardware and software. This role is a core member of that team, responsible for reliability, automation, and observability across colo, on-premises lab, and cloud environments. You will own systems end-to-end, from provisioning through live incident response, partnering with hardware and software teams on CI/CD, QA, and HPC workloads for silicon development, as well as supporting customer-facing environments where d-Matrix partners collaborate on deployments. This is hands-on, high-ownership work: you'll build and operate real infrastructure, not manage tickets.\n\nWhat You Will Do\n\n - Own reliability and availability across colo server fleets, on-premises lab clusters, cloud environments (AWS, Azure, GCP), and customer-facing platform services.\n\n - Perform hands-on infrastructure work — server provisioning, OS configuration, networking, storage, and hardware troubleshooting — from bare metal through auto-scaling Kubernetes environments.\n\n - Lead capacity planning and hardware lifecycle management for your domains, and track cloud spend to support FinOps and workload placement decisions.\n\n - Drive all provisioning, deployment, and operational changes through Terraform and/or Ansible rather than manual steps, and contribute to shared IaC modules used across the global SRE and data center services teams.\n\n - Build and document automation that eliminates toil — host lifecycle management, fleet health checks, auto-remediation, self-service tooling, and networking automation for cluster interconnects and lab configurations.\n\n - Design and maintain monitoring, alerting, and SLIs (Prometheus/Grafana, DataDog, Splunk, or equivalent), contributing to AIOps-driven detection workflows.\n\n - Participate in on-call rotation, triaging and resolving incidents from bare metal to application layer, and produce high-quality RCAs for P0/P1 incidents.\n\n - Support platform services used by internal teams and external customers, ensuring QoS and uptime commitments and documenting operational runbooks.\n\nWhat You Will Bring\n\n - Bachelor's or Master's in Computer Science, Electrical Engineering, or a related field (or equivalent experience); 7+ years in SRE, infrastructure engineering, or systems administration.\n\n - Strong Linux systems knowledge with hands-on colocation or on-premises server infrastructure — networking, storage, systemd, kernel parameters, performance diagnostics, physical hardware, rack networking, and bare-metal provisioning.\n\n - Production IaC experience with Terraform and/or Ansible — writing and maintaining configurations, not just running existing playbooks.\n\n - Kubernetes operational experience: cluster troubleshooting, workload management, storage, and networking.\n\n - Experience with observability tooling — Prometheus/Grafana, DataDog, Splunk, or equivalent — including building dashboards and writing alert rules.\n\n - Production-quality Python and/or Bash scripting, paired with incident response experience: structured triage, RCA production, and follow-through on action items.\n\nPreferred Qualifications\n\n - Experience operating customer-facing infrastructure or platform services with external reliability expectations.\n\n - Cloud infrastructure operations across AWS, Azure, or GCP, including hybrid environments spanning cloud and on-prem.\n\n - Experience deploying and operating AI-driven infrastructure tools — AIOps platforms, intelligent alerting, anomaly detection, or LLM-assisted diagnostics — in production.\n\n - HPC job scheduler experience: Slurm, LSF, or equivalent.\n\n - Knowledge of high-speed interconnect fabrics: InfiniBand, RoCE, or NVLink.\n\n - Experience with large-scale infrastructure automation — host lifecycle management, fleet auto-healing, or AIOps-driven operations — building tooling that reduces manual intervention, not just running it.\n\nEqual Opportunity Employment Policy\n\nd-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.\n\nd-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation. ","compensation":{"compensationTierSummary":"$175K – $265K • Offers Equity • Offers Bonus","scrapeableCompensationSalarySummary":"$175K - $265K","compensationTiers":[{"id":"b08e9fec-88cf-4c4e-969b-222afe3bfe9b","tierSummary":"$175K – $265K • Offers Equity • Offers Bonus","title":null,"additionalInformation":null,"components":[{"id":"77ce2e61-205f-4ddd-99bb-206df9dd3472","summary":"$175K – $265K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":175000,"maxValue":265000},{"id":"6c0b15ec-3fac-4012-888f-d098729d54a3","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"da2f8228-73fa-4389-a4d8-1a7b999b98cc","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":175000,"maxValue":265000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}},{"id":"5f862391-f847-4c00-b97a-0f5d22706f84","title":"Senior Manager, Information Security","department":"G&A","team":"Corporate IT","employmentType":"FullTime","location":"Santa Clara","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-09-30T04:11:58.375+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"Ca","addressCountry":"United States","addressLocality":"Santa Clara, Ca"}},"jobUrl":"https://jobs.ashbyhq.com/d-Matrix/5f862391-f847-4c00-b97a-0f5d22706f84","applyUrl":"https://jobs.ashbyhq.com/d-Matrix/5f862391-f847-4c00-b97a-0f5d22706f84/application","descriptionHtml":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.
We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI.
Role Overview
d-Matrix designs and manufactures purpose-built AI inference silicon, systems, and software. As our first dedicated Information Security hire, the Senior Manager, Information Security will build a unified security function that consolidates security responsibilities from across the company, with the opportunity to grow a team over time. You will report to the VP of Information Technology and Infrastructure Services and own the security roadmap and budget. Your focus will be protecting proprietary chip design IP (RTL, GDSII), EDA workflows, the software supply chain, internal AI agents, and the corporate, cloud, and lab infrastructure the company depends on. You will partner closely with Silicon and Software Engineering leaders, IT, SRE, and Facilities to keep development, customer collaboration, and product shipping both fast and secure.
What You Will Do
Build and execute a unified security roadmap and budget across corporate IT, cloud, and product development, consolidating tools and managing security vendors.
Partner with IT and SRE to mature identity governance, endpoint detection and response, vendor risk management, and incident response, and lead readiness for compliance programs such as SOC 2 Type II and ISO/IEC 27001.
Protect chip design IP (RTL, GDSII), EDA workflows, and software source through least-privilege access, network segmentation, exfiltration controls, and encrypted transfer to foundry and OSAT partners.
Partner with hardware teams to assess foundry, component-sourcing, and logistics risk and co-architect hardware roots of trust, unique chip identifiers, and secure boot.
Establish trusted software supply chain practices, including SBOMs, signed builds, and provenance tracking for compilers, runtimes, and model artifacts.
Secure cloud, colocation, on-premises, API, and customer-facing inference environments by enforcing Zero Trust, phishing-resistant MFA, and DevSecOps practices.
Establish governance and controls for internal AI agents, defend against external bots and agentic traffic, and track emerging AI regulations.
Partner with Facilities on lab and physical security, and build a security-first culture that favors simple, low-friction access over workarounds.
What You Will Bring
7+ years of experience in information security.
3+ years of experience leading security programs or teams.
Technical literacy across corporate IT (RBAC, MDM, SIEM), cloud environments (Kubernetes), and CI/CD security.
Experience protecting IP-intensive engineering environments, such as semiconductor, hardware, defense, or other sensitive design and source data.
Practical understanding of how LLMs and autonomous AI agents operate, interact with APIs, and handle sensitive data.
A pragmatic, startup mindset: rigorous security that does not slow hardware development, customer collaboration, or product shipping.
Bachelor's degree or equivalent experience.
Preferred Qualifications
Direct experience managing semiconductor or hardware supply chain security, such as foundry/OSAT relationships, secure IP transfer, hardware roots of trust, or anti-counterfeiting measures.
Experience securing hybrid, colocation, or on-premises lab infrastructure alongside cloud environments.
Experience managing compliance audits from initial readiness through SOC 2 Type II or ISO 27001 certification.
Active industry credentials, such as CISSP, CISM, or specialized AI/cloud security certifications.
Equal Opportunity Employment Policy
d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.
d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.
","descriptionPlain":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.\n\nWe value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI. \n\n\n\nRole Overview\n\nd-Matrix designs and manufactures purpose-built AI inference silicon, systems, and software. As our first dedicated Information Security hire, the Senior Manager, Information Security will build a unified security function that consolidates security responsibilities from across the company, with the opportunity to grow a team over time. You will report to the VP of Information Technology and Infrastructure Services and own the security roadmap and budget. Your focus will be protecting proprietary chip design IP (RTL, GDSII), EDA workflows, the software supply chain, internal AI agents, and the corporate, cloud, and lab infrastructure the company depends on. You will partner closely with Silicon and Software Engineering leaders, IT, SRE, and Facilities to keep development, customer collaboration, and product shipping both fast and secure.\n\nWhat You Will Do\n\n - Build and execute a unified security roadmap and budget across corporate IT, cloud, and product development, consolidating tools and managing security vendors.\n\n - Partner with IT and SRE to mature identity governance, endpoint detection and response, vendor risk management, and incident response, and lead readiness for compliance programs such as SOC 2 Type II and ISO/IEC 27001.\n\n - Protect chip design IP (RTL, GDSII), EDA workflows, and software source through least-privilege access, network segmentation, exfiltration controls, and encrypted transfer to foundry and OSAT partners.\n\n - Partner with hardware teams to assess foundry, component-sourcing, and logistics risk and co-architect hardware roots of trust, unique chip identifiers, and secure boot.\n\n - Establish trusted software supply chain practices, including SBOMs, signed builds, and provenance tracking for compilers, runtimes, and model artifacts.\n\n - Secure cloud, colocation, on-premises, API, and customer-facing inference environments by enforcing Zero Trust, phishing-resistant MFA, and DevSecOps practices.\n\n - Establish governance and controls for internal AI agents, defend against external bots and agentic traffic, and track emerging AI regulations.\n\n - Partner with Facilities on lab and physical security, and build a security-first culture that favors simple, low-friction access over workarounds.\n\nWhat You Will Bring\n\n - 7+ years of experience in information security.\n\n - 3+ years of experience leading security programs or teams.\n\n - Technical literacy across corporate IT (RBAC, MDM, SIEM), cloud environments (Kubernetes), and CI/CD security.\n\n - Experience protecting IP-intensive engineering environments, such as semiconductor, hardware, defense, or other sensitive design and source data.\n\n - Practical understanding of how LLMs and autonomous AI agents operate, interact with APIs, and handle sensitive data.\n\n - A pragmatic, startup mindset: rigorous security that does not slow hardware development, customer collaboration, or product shipping.\n\n - Bachelor's degree or equivalent experience.\n\nPreferred Qualifications\n\n - Direct experience managing semiconductor or hardware supply chain security, such as foundry/OSAT relationships, secure IP transfer, hardware roots of trust, or anti-counterfeiting measures.\n\n - Experience securing hybrid, colocation, or on-premises lab infrastructure alongside cloud environments.\n\n - Experience managing compliance audits from initial readiness through SOC 2 Type II or ISO 27001 certification.\n\n - Active industry credentials, such as CISSP, CISM, or specialized AI/cloud security certifications.\n\nEqual Opportunity Employment Policy\n\nd-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.\n\nd-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation. ","compensation":{"compensationTierSummary":"$175K – $265K • Offers Equity • Offers Bonus","scrapeableCompensationSalarySummary":"$175K - $265K","compensationTiers":[{"id":"3e46ac7c-fa42-452c-8892-c3b25bd52a23","tierSummary":"$175K – $265K • Offers Equity • Offers Bonus","title":null,"additionalInformation":null,"components":[{"id":"e79c9abb-1054-40d0-a1f2-e054dfe06271","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"42a8d428-b374-486a-ba9e-3428136b8fad","summary":"$175K – $265K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":175000,"maxValue":265000},{"id":"74fb0045-f319-4238-afff-bb5b42d564ca","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":175000,"maxValue":265000},{"compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}},{"id":"9bcf35e4-24bb-411c-bd7f-b4bd4146846a","title":"IT System Support Specialist","department":"G&A","team":"Corporate IT","employmentType":"Contract","location":"Bangalore","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-10-06T04:53:39.762+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"Karnataka","addressCountry":"India","addressLocality":"Bangalore"}},"jobUrl":"https://jobs.ashbyhq.com/d-Matrix/9bcf35e4-24bb-411c-bd7f-b4bd4146846a","applyUrl":"https://jobs.ashbyhq.com/d-Matrix/9bcf35e4-24bb-411c-bd7f-b4bd4146846a/application","descriptionHtml":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.
We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI.
Location: Hybrid, in the office Three (3) Days a week at our Bangalore, India HQ Location
IT Systems Support Specialist (Contract)
What You'll Do
As an IT Systems Support Specialist at d-Matrix, you'll support our end users and keep our IT infrastructure running smoothly. You'll administer our Microsoft 365 tenant, support macOS and Windows laptops, manage wireless networks, and help ensure the security and reliability of our systems. This is a 1-year, onsite contract role (40 hours/week) supporting our APAC offices and users — onsite in Bengaluru, with remote/shared support for our Sydney, Australia and Belgrade teams.
Manage new-hire onboarding for our India and Australia offices, including M365 account creation, laptop procurement, and deployment
Troubleshoot and resolve IT and cybersecurity issues reported by team members, escalating as needed for timely resolution
Keep office equipment running smoothly — printers, video conferencing systems (TVs, tablets, cameras), and related peripherals
Support IT projects and initiatives, including software upgrades and system migrations
Document IT processes, procedures, and configurations to keep documentation accurate and current
Stay current on emerging technologies and industry best practices to continuously improve our IT infrastructure
What You'll Bring
2-3+ years of experience in an office IT environment, ideally at a technology company
Experience administering Microsoft 365, including Entra, Exchange, SharePoint, and Teams
Strong troubleshooting skills across macOS, Windows, laptop hardware, and wireless networking
Strong written and verbal English communication skills, with the ability to work effectively across all levels of the organization
Highly organized, with the ability to self-prioritize and work independently with minimal supervision
Preferred
Experience with JAMF Pro, Intune, or similar MDM platforms
Familiarity administering a managed wireless network (e.g., Unifi, Meraki)
Experience using Jira and Confluence
Equal Opportunity Employment Policy
d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.
d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.
","descriptionPlain":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.\n\nWe value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI. \n\nLocation: Hybrid, in the office Three (3) Days a week at our Bangalore, India HQ Location\n\nIT Systems Support Specialist (Contract)\n\nWhat You'll Do\n\nAs an IT Systems Support Specialist at d-Matrix, you'll support our end users and keep our IT infrastructure running smoothly. You'll administer our Microsoft 365 tenant, support macOS and Windows laptops, manage wireless networks, and help ensure the security and reliability of our systems. This is a 1-year, onsite contract role (40 hours/week) supporting our APAC offices and users — onsite in Bengaluru, with remote/shared support for our Sydney, Australia and Belgrade teams.\n\n - Manage new-hire onboarding for our India and Australia offices, including M365 account creation, laptop procurement, and deployment\n\n - Troubleshoot and resolve IT and cybersecurity issues reported by team members, escalating as needed for timely resolution\n\n - Keep office equipment running smoothly — printers, video conferencing systems (TVs, tablets, cameras), and related peripherals\n\n - Support IT projects and initiatives, including software upgrades and system migrations\n\n - Document IT processes, procedures, and configurations to keep documentation accurate and current\n\n - Stay current on emerging technologies and industry best practices to continuously improve our IT infrastructure\n\nWhat You'll Bring\n\n - 2-3+ years of experience in an office IT environment, ideally at a technology company\n\n - Experience administering Microsoft 365, including Entra, Exchange, SharePoint, and Teams\n\n - Strong troubleshooting skills across macOS, Windows, laptop hardware, and wireless networking\n\n - Strong written and verbal English communication skills, with the ability to work effectively across all levels of the organization\n\n - Highly organized, with the ability to self-prioritize and work independently with minimal supervision\n\nPreferred\n\n - Experience with JAMF Pro, Intune, or similar MDM platforms\n\n - Familiarity administering a managed wireless network (e.g., Unifi, Meraki)\n\n - Experience using Jira and Confluence\n\nEqual Opportunity Employment Policy\n\nd-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.\n\nd-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation. ","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"0162ccc1-dcf0-44c6-a42a-3f74ab96e675","title":"Director, Software Quality Engineering","department":"Software Engineering","team":"Software Engineering","employmentType":"FullTime","location":"Santa Clara","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-10-15T14:36:22.498+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"Ca","addressCountry":"United States","addressLocality":"Santa Clara, Ca"}},"jobUrl":"https://jobs.ashbyhq.com/d-Matrix/0162ccc1-dcf0-44c6-a42a-3f74ab96e675","applyUrl":"https://jobs.ashbyhq.com/d-Matrix/0162ccc1-dcf0-44c6-a42a-3f74ab96e675/application","descriptionHtml":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.
We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI.
Director, Software Quality Engineering
Location: Santa Clara, CA (Hybrid on-site 3 days a week)
Reports to: Vice President of Software
Employment type: Full-time, exempt
About the Role
The Director, Software Quality Engineering leads quality across our firmware, compiler, runtime, and inference-serving software. You will set the vision, define the test architecture, and lead both automation strategy and day-to-day execution for the Software Quality Engineering team.
Your first priority will be to assess our current processes, test content, tools, and frameworks. Create the practical roadmap while keeping current qualification work on schedule and developing the engineers who own it.
Automation and AI-assisted engineering are central to this role. Build on the foundation and extend the team’s capacity to meet growing product and release complexity through automation, reusable tooling, and AI-assisted practices. You will stay hands-on enough to review framework code, investigate complex failures, and guide technical decisions.
Our work spans numerical accuracy, performance, and stability on evolving hardware and software. Because test capacity is finite, you will make coverage decisions and help the team use evidence to distinguish product defects, infrastructure problems, and unreliable tests.
You will also lead the company's open-source and proprietary software license compliance program (inbound and outbound) and coordinate the company's AI use policy, working closely with Legal and other stakeholders.
Key Responsibilities
Define the quality strategy, technical roadmap, and test architecture across firmware, compiler, runtime, and inference serving
Build reusable test frameworks and automated functional, integration, and end-to-end coverage, with deliberate choices about what runs on available hardware and when
Develop continuous soak testing to assess long-run stability and produce useful failure evidence
Establish numerical comparison and tolerance policies with engineering owners, and detect performance regressions against reliable baselines
Define measurable QA readiness criteria and quality gates. Qualify the exact release candidate, including targeted customer fixes, and communicate results, gaps, and risks clearly
Improve defect triage and turn lessons from customer-reported defects into better coverage and engineering practices
Evaluate and adopt AI-assisted test generation, triage, and failure clustering where they deliver measurable benefits
Establish and maintain processes for open-source and proprietary software license compliance, including inbound and outbound obligations, in partnership with Legal
Coordinate implementation and ongoing review of the company's AI use policy with legal, security, and engineering leadership
Coach and develop the software quality engineering team
Scope Clarification
This role does not include:
Release assembly and maintenance
Building a large manual testing organization or outsourcing testing to vendors as the core strategy
Post-silicon hardware validation or silicon bring-up
Writing unit tests on behalf of development teams
First-Year Objectives (proposed)
Establish a baseline of human effort in test preparation, execution, triage, and maintenance. Measurably reduce repetitive work on comparable workloads while preserving or improving coverage and defect detection
Evaluate AI-assisted testing on representative work and demonstrate gains in time to actionable results or engineering effort, including human review and maintenance costs.
Put documented numerical-tolerance policies and performance-regression gates into use with engineering owners so that agreed violations block progression and authorized exceptions are recorded
Deliver an actionable quality roadmap, clear operating ownership, and shared knowledge so that critical workflows do not depend on any one person.
Specific targets and measurement windows will be agreed after the baseline is established
Minimum Qualifications
Bachelor's degree in computer science, engineering, or a related field, or equivalent practical experience
Experience setting quality strategy and test architecture while leading daily delivery and developing a software quality or test engineering team
Strong programming ability in Python and/or C++, including building test frameworks and reviewing test code
Systems software testing experience in firmware, compilers, runtimes, drivers, distributed systems, or comparable software, including hardware/software integration with real devices
Ability to evaluate AI-assisted engineering workflows and judge whether AI-generated tests verify intended behavior rather than merely pass
Experience designing test coverage under resource constraints, integrating tests into CI, and defining promotion and release gates
Sound judgment about coverage, risk, and metrics, and the ability to work credibly with developers and communicate clear quality assessments
Preferred Qualifications
Knowledge of machine learning or inference, including quantization, numerics, and model accuracy evaluation
Familiarity with inference-serving software and relevant performance benchmarks
Experience with Kubernetes-based test environments
Experience with hardware-in-the-loop testing, device farms, or lab automation
Experience managing open-source license compliance
Equal Opportunity Employment Policy
d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.
d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.
","descriptionPlain":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.\n\nWe value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI. \n\nDirector, Software Quality Engineering\n\nLocation: Santa Clara, CA (Hybrid on-site 3 days a week)\n\nReports to: Vice President of Software\n\nEmployment type: Full-time, exempt\n\nAbout the Role\n\nThe Director, Software Quality Engineering leads quality across our firmware, compiler, runtime, and inference-serving software. You will set the vision, define the test architecture, and lead both automation strategy and day-to-day execution for the Software Quality Engineering team.\n\nYour first priority will be to assess our current processes, test content, tools, and frameworks. Create the practical roadmap while keeping current qualification work on schedule and developing the engineers who own it.\n\nAutomation and AI-assisted engineering are central to this role. Build on the foundation and extend the team’s capacity to meet growing product and release complexity through automation, reusable tooling, and AI-assisted practices. You will stay hands-on enough to review framework code, investigate complex failures, and guide technical decisions.\n\nOur work spans numerical accuracy, performance, and stability on evolving hardware and software. Because test capacity is finite, you will make coverage decisions and help the team use evidence to distinguish product defects, infrastructure problems, and unreliable tests.\n\nYou will also lead the company's open-source and proprietary software license compliance program (inbound and outbound) and coordinate the company's AI use policy, working closely with Legal and other stakeholders.\n\nKey Responsibilities\n\n - Define the quality strategy, technical roadmap, and test architecture across firmware, compiler, runtime, and inference serving\n\n - Build reusable test frameworks and automated functional, integration, and end-to-end coverage, with deliberate choices about what runs on available hardware and when\n\n - Develop continuous soak testing to assess long-run stability and produce useful failure evidence\n\n - Establish numerical comparison and tolerance policies with engineering owners, and detect performance regressions against reliable baselines\n\n - Define measurable QA readiness criteria and quality gates. Qualify the exact release candidate, including targeted customer fixes, and communicate results, gaps, and risks clearly\n\n - Improve defect triage and turn lessons from customer-reported defects into better coverage and engineering practices\n\n - Evaluate and adopt AI-assisted test generation, triage, and failure clustering where they deliver measurable benefits\n\n - Establish and maintain processes for open-source and proprietary software license compliance, including inbound and outbound obligations, in partnership with Legal\n\n - Coordinate implementation and ongoing review of the company's AI use policy with legal, security, and engineering leadership\n\n - Coach and develop the software quality engineering team\n\nScope Clarification\n\nThis role does not include:\n\n - Release assembly and maintenance\n\n - Building a large manual testing organization or outsourcing testing to vendors as the core strategy\n\n - Post-silicon hardware validation or silicon bring-up\n\n - Writing unit tests on behalf of development teams\n\nFirst-Year Objectives (proposed)\n\n - Establish a baseline of human effort in test preparation, execution, triage, and maintenance. Measurably reduce repetitive work on comparable workloads while preserving or improving coverage and defect detection\n\n - Evaluate AI-assisted testing on representative work and demonstrate gains in time to actionable results or engineering effort, including human review and maintenance costs.\n\n - Put documented numerical-tolerance policies and performance-regression gates into use with engineering owners so that agreed violations block progression and authorized exceptions are recorded\n\n - Deliver an actionable quality roadmap, clear operating ownership, and shared knowledge so that critical workflows do not depend on any one person.\n\n - Specific targets and measurement windows will be agreed after the baseline is established\n\nMinimum Qualifications\n\n - Bachelor's degree in computer science, engineering, or a related field, or equivalent practical experience\n\n - Experience setting quality strategy and test architecture while leading daily delivery and developing a software quality or test engineering team\n\n - Strong programming ability in Python and/or C++, including building test frameworks and reviewing test code\n\n - Systems software testing experience in firmware, compilers, runtimes, drivers, distributed systems, or comparable software, including hardware/software integration with real devices\n\n - Ability to evaluate AI-assisted engineering workflows and judge whether AI-generated tests verify intended behavior rather than merely pass\n\n - Experience designing test coverage under resource constraints, integrating tests into CI, and defining promotion and release gates\n\n - Sound judgment about coverage, risk, and metrics, and the ability to work credibly with developers and communicate clear quality assessments\n\nPreferred Qualifications\n\n - Knowledge of machine learning or inference, including quantization, numerics, and model accuracy evaluation\n\n - Familiarity with inference-serving software and relevant performance benchmarks\n\n - Experience with Kubernetes-based test environments\n\n - Experience with hardware-in-the-loop testing, device farms, or lab automation\n\n - Experience managing open-source license compliance\n\nEqual Opportunity Employment Policy\n\nd-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.\n\nd-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation. ","compensation":{"compensationTierSummary":"$195K – $330K • Offers Equity • Offers Bonus","scrapeableCompensationSalarySummary":"$195K - $330K","compensationTiers":[{"id":"855c2482-b438-48cd-be61-7ee4541b6db8","tierSummary":"$195K – $330K • Offers Equity • Offers Bonus","title":"L6","additionalInformation":null,"components":[{"id":"ee9a31a0-0c94-4272-95eb-95bdddd55903","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"8acff882-137b-45b8-b12c-f63466f40eaf","summary":"$195K – $330K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":195000,"maxValue":330000},{"id":"b29f5db5-cf5a-44b7-aaf8-9c85d1d709a6","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":195000,"maxValue":330000},{"compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}},{"id":"350596ca-060e-4b9a-9bba-75c6ff7937b3","title":"Staff Software Engineer, Developer Automation","department":"Software Engineering","team":"Quality Assurance","employmentType":"FullTime","location":"Santa Clara","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-10-01T22:35:54.402+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"Ca","addressCountry":"United States","addressLocality":"Santa Clara, Ca"}},"jobUrl":"https://jobs.ashbyhq.com/d-Matrix/350596ca-060e-4b9a-9bba-75c6ff7937b3","applyUrl":"https://jobs.ashbyhq.com/d-Matrix/350596ca-060e-4b9a-9bba-75c6ff7937b3/application","descriptionHtml":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.
We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI.
Software Infrastructure owns the CI/CD and release pipeline that every d-Matrix engineer ships through. As a Staff-level individual contributor, you will drive the automation that diagnoses and fixes pipeline failures, such as deciding whether a failed CI job is a real regression, a flaky card, or an infrastructure issue, and identifying which merge broke an overnight test run. Rapid company growth and AI-accelerated development are increasing development velocity, and the pipeline from product through dev, test, and release must keep pace.
You will blend modern AI techniques with traditional software automation to build highly reliable systems, and shape the architecture for compute and storage across an environment that spans cloud to on-prem, from firmware updates to rack-scale performance testing. You will partner with the Software Infrastructure team, development groups, and Quality Engineering to develop and spread best practices across the organization.
This role is not primarily an AI agent role, and it is not a DevOps role. Kubernetes and systems skills are valued but are not the focus.
Design and build automation that diagnoses and resolves CI/CD pipeline failures, including classification of regressions, flaky hardware, and infrastructure issues.
Develop automated methods to identify which merges cause failures in long-running test suites.
Evaluate and integrate AI techniques alongside deterministic automation to maximize reliability.
Architect scalable compute and storage for build and test workloads across cloud and on-prem environments.
Own release engineering practices, including versioning schemes, independent component release trains, and compatibility matrices.
Reduce developer toil and time-to-signal across the product, dev, test, and release pipeline.
Partner with development groups and Quality Engineering to drive adoption of new tooling and best practices.
Track record of building automation that measurably reduced toil or time-to-signal in a CI, release, or dev-tooling context.
Release engineering experience, including versioning schemes, independent component release trains, and compatibility matrices.
Architectural judgment on trade-offs such as AI versus deterministic software, and compute availability versus data locality.
Strong software engineering fundamentals, with experience building production-grade automation rather than scripts.
Track record of driving adoption of new tooling and best practices across teams that do not report to you.
Experience with GitLab CI and merge-train workflows at scale.
Hands-on experience building LLM-based agents or tools for developer workflows, such as CI triage or code review.
Experience with semantic versioning or independently versioned multi-component release systems.
Experience as a user of CI/CD systems, with an understanding of the developer-customer perspective.
Hands-on experience with containerized workloads, VMs, and Kubernetes.
Experience with observability of distributed systems, including metrics, logging, reporting, and alerting.
Systems administration skills for investigating host-level issues.
Equal Opportunity Employment Policy
d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.
d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.
","descriptionPlain":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.\n\nWe value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI. \n\n\n\n\nROLE OVERVIEW\n\nSoftware Infrastructure owns the CI/CD and release pipeline that every d-Matrix engineer ships through. As a Staff-level individual contributor, you will drive the automation that diagnoses and fixes pipeline failures, such as deciding whether a failed CI job is a real regression, a flaky card, or an infrastructure issue, and identifying which merge broke an overnight test run. Rapid company growth and AI-accelerated development are increasing development velocity, and the pipeline from product through dev, test, and release must keep pace.\n\nYou will blend modern AI techniques with traditional software automation to build highly reliable systems, and shape the architecture for compute and storage across an environment that spans cloud to on-prem, from firmware updates to rack-scale performance testing. You will partner with the Software Infrastructure team, development groups, and Quality Engineering to develop and spread best practices across the organization.\n\nThis role is not primarily an AI agent role, and it is not a DevOps role. Kubernetes and systems skills are valued but are not the focus.\n\n\n\n\nWHAT YOU WILL DO\n\n - Design and build automation that diagnoses and resolves CI/CD pipeline failures, including classification of regressions, flaky hardware, and infrastructure issues.\n\n - Develop automated methods to identify which merges cause failures in long-running test suites.\n\n - Evaluate and integrate AI techniques alongside deterministic automation to maximize reliability.\n\n - Architect scalable compute and storage for build and test workloads across cloud and on-prem environments.\n\n - Own release engineering practices, including versioning schemes, independent component release trains, and compatibility matrices.\n\n - Reduce developer toil and time-to-signal across the product, dev, test, and release pipeline.\n\n - Partner with development groups and Quality Engineering to drive adoption of new tooling and best practices.\n\n\n\n\nWHAT YOU WILL BRING\n\n - Track record of building automation that measurably reduced toil or time-to-signal in a CI, release, or dev-tooling context.\n\n - Release engineering experience, including versioning schemes, independent component release trains, and compatibility matrices.\n\n - Architectural judgment on trade-offs such as AI versus deterministic software, and compute availability versus data locality.\n\n - Strong software engineering fundamentals, with experience building production-grade automation rather than scripts.\n\n - Track record of driving adoption of new tooling and best practices across teams that do not report to you.\n\n\n\n\nPREFERRED QUALIFICATIONS\n\n - Experience with GitLab CI and merge-train workflows at scale.\n\n - Hands-on experience building LLM-based agents or tools for developer workflows, such as CI triage or code review.\n\n - Experience with semantic versioning or independently versioned multi-component release systems.\n\n - Experience as a user of CI/CD systems, with an understanding of the developer-customer perspective.\n\n - Hands-on experience with containerized workloads, VMs, and Kubernetes.\n\n - Experience with observability of distributed systems, including metrics, logging, reporting, and alerting.\n\n - Systems administration skills for investigating host-level issues.\n\n\n\nEqual Opportunity Employment Policy\n\nd-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.\n\nd-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation. ","compensation":{"compensationTierSummary":"$155K – $235K • Offers Equity • Offers Bonus","scrapeableCompensationSalarySummary":"$155K - $235K","compensationTiers":[{"id":"c0faf644-e0c8-4136-89c2-837106bccbe5","tierSummary":"$155K – $235K • Offers Equity • Offers Bonus","title":null,"additionalInformation":null,"components":[{"id":"e020be0c-c560-4ac8-a452-b164994c5acb","summary":"$155K – $235K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":155000,"maxValue":235000},{"id":"350d5075-a5a6-417e-b43d-459899b592cc","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"b67d4a1e-d91a-4d5a-b71d-4d864f36174b","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":155000,"maxValue":235000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}},{"id":"141b7e30-85e7-4f5d-9a0a-ad2ab9dca2a4","title":"Director of Sales ","department":"Customer and Product","team":"Sales, BD, and Marketing","employmentType":"FullTime","location":"Santa Clara","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-10-07T22:24:14.648+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"Ca","addressCountry":"United States","addressLocality":"Santa Clara, Ca"}},"jobUrl":"https://jobs.ashbyhq.com/d-Matrix/141b7e30-85e7-4f5d-9a0a-ad2ab9dca2a4","applyUrl":"https://jobs.ashbyhq.com/d-Matrix/141b7e30-85e7-4f5d-9a0a-ad2ab9dca2a4/application","descriptionHtml":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.
We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI.
Director of Sales
Location: Santa Clara, CA. Customer travel up to 40%.
Role Overview
d-Matrix is hiring a Director of Sales to drive revenue growth for our inference platform as Corsair moves into volume production. You'll own a portfolio of strategic accounts across hyperscalers, neoclouds, AI labs, and AI-native enterprises. You'll run the full sales cycle, from first technical engagement and proof-of-concept through multi-rack deployment commitments. You'll sell Corsair accelerators, JetStream networking, the Aviator software stack, and SquadRack rack-scale systems. You'll work closely with product, solutions engineers, operations, and ecosystem partners. You'll also help build the playbooks, processes, and team as our commercial organization scales.
What You Will Do
Own and grow a portfolio of strategic accounts, maintaining account plans, call cadences, and clear next steps on every active opportunity.
Lead complex, multi-stakeholder sales cycles for Corsair, JetStream, Aviator, and SquadRack. Engage infrastructure, platform, procurement, and executive stakeholders to qualify opportunities and build business cases.
Coordinate benchmarking, evaluations, and proof-of-concept deployments with solutions engineers, and convert them into production commitments.
Prepare proposals, quotes, pricing, and RFI/RFP responses with Finance and Product. Negotiate commercial terms, including volume pricing, supply allocation, delivery schedules, and support agreements.
Run weekly pipeline reviews and the quarterly forecast. Report bookings, revenue, deal health, and win/loss results to company leadership.
Partner with Operations and Supply Chain to align customer demand with production ramp and allocation. Work with ecosystem partners on joint go-to-market and co-selling.
Translate customer requirements and competitive insights into actionable product roadmap feedback.
Build sales playbooks, processes, and tools (e.g., CRM) as the team scales, and represent d-Matrix at industry events.
What You Will Bring
8+ years of enterprise or strategic sales experience in data center infrastructure (semiconductors, AI accelerators, GPUs, servers, or networking), including 3+ years selling to hyperscale or cloud customers.
Track record of closing multi-million-dollar hardware and/or platform deals with long, technically complex sales cycles.
Established relationships with infrastructure and procurement decision-makers.
Technical fluency in AI infrastructure, including inference workloads, accelerator architectures, and data center power, cooling, and rack-level considerations.
Excellent communication, negotiation, and executive presence, with the ability to influence across customer and internal organizations.
Experience with CRM-driven pipeline management and disciplined forecasting.
Bachelor's degree in engineering, business, or a related field.
Preferred Qualifications
Experience selling AI inference or training silicon.
Experience introducing a new architecture or product category into accounts with an established incumbent.
Experience working with system partners.
Experience at a growth-stage startup.
Existing network in the Seattle-area cloud ecosystem or the Bay Area.
Equal Opportunity Employment Policy
d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.
d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.
","descriptionPlain":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.\n\nWe value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI. \n\nDirector of Sales\nLocation: Santa Clara, CA. Customer travel up to 40%.\n\nRole Overview\n\nd-Matrix is hiring a Director of Sales to drive revenue growth for our inference platform as Corsair moves into volume production. You'll own a portfolio of strategic accounts across hyperscalers, neoclouds, AI labs, and AI-native enterprises. You'll run the full sales cycle, from first technical engagement and proof-of-concept through multi-rack deployment commitments. You'll sell Corsair accelerators, JetStream networking, the Aviator software stack, and SquadRack rack-scale systems. You'll work closely with product, solutions engineers, operations, and ecosystem partners. You'll also help build the playbooks, processes, and team as our commercial organization scales.\n\nWhat You Will Do\n\n - Own and grow a portfolio of strategic accounts, maintaining account plans, call cadences, and clear next steps on every active opportunity.\n\n - Lead complex, multi-stakeholder sales cycles for Corsair, JetStream, Aviator, and SquadRack. Engage infrastructure, platform, procurement, and executive stakeholders to qualify opportunities and build business cases.\n\n - Coordinate benchmarking, evaluations, and proof-of-concept deployments with solutions engineers, and convert them into production commitments.\n\n - Prepare proposals, quotes, pricing, and RFI/RFP responses with Finance and Product. Negotiate commercial terms, including volume pricing, supply allocation, delivery schedules, and support agreements.\n\n - Run weekly pipeline reviews and the quarterly forecast. Report bookings, revenue, deal health, and win/loss results to company leadership.\n\n - Partner with Operations and Supply Chain to align customer demand with production ramp and allocation. Work with ecosystem partners on joint go-to-market and co-selling.\n\n - Translate customer requirements and competitive insights into actionable product roadmap feedback.\n\n - Build sales playbooks, processes, and tools (e.g., CRM) as the team scales, and represent d-Matrix at industry events.\n\nWhat You Will Bring\n\n - 8+ years of enterprise or strategic sales experience in data center infrastructure (semiconductors, AI accelerators, GPUs, servers, or networking), including 3+ years selling to hyperscale or cloud customers.\n\n - Track record of closing multi-million-dollar hardware and/or platform deals with long, technically complex sales cycles.\n\n - Established relationships with infrastructure and procurement decision-makers.\n\n - Technical fluency in AI infrastructure, including inference workloads, accelerator architectures, and data center power, cooling, and rack-level considerations.\n\n - Excellent communication, negotiation, and executive presence, with the ability to influence across customer and internal organizations.\n\n - Experience with CRM-driven pipeline management and disciplined forecasting.\n\n - Bachelor's degree in engineering, business, or a related field.\n\nPreferred Qualifications\n\n - Experience selling AI inference or training silicon.\n\n - Experience introducing a new architecture or product category into accounts with an established incumbent.\n\n - Experience working with system partners.\n\n - Experience at a growth-stage startup.\n\n - Existing network in the Seattle-area cloud ecosystem or the Bay Area.\n\nEqual Opportunity Employment Policy\n\nd-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.\n\nd-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation. ","compensation":{"compensationTierSummary":"$200K – $250K • Offers Equity • Offers Commission • Base Salary $200K to $250K + Commission + Equity","scrapeableCompensationSalarySummary":"$200K - $250K","compensationTiers":[{"id":"2a37995b-9ac1-41a0-b509-35782c287d18","tierSummary":"Base Salary $200K – $250K • Offers Equity • Offers Commission • Base Salary $200K to $250K + Commission + Equity","title":null,"additionalInformation":"Base Salary $200K to $250K + Commission + Equity","components":[{"id":"2b735d9c-ffb9-4c91-9001-a416bcae6115","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"7eeb595b-f8ee-4cca-9786-1313defef940","summary":"Offers Commission","compensationType":"Commission","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"ec9d973f-8c0a-4476-9411-2a1fa0b69798","summary":"Base Salary $200K – $250K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":200000,"maxValue":250000}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Commission","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":200000,"maxValue":250000}]}},{"id":"a89c2c41-a2ec-4bde-ad50-f9e36a3bb5cd","title":"Director of Sales ","department":"Customer and Product","team":"Sales, BD, and Marketing","employmentType":"FullTime","location":"Seattle","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-10-07T21:15:17.107+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"Washington","addressCountry":"USA","addressLocality":"Seattle"}},"jobUrl":"https://jobs.ashbyhq.com/d-Matrix/a89c2c41-a2ec-4bde-ad50-f9e36a3bb5cd","applyUrl":"https://jobs.ashbyhq.com/d-Matrix/a89c2c41-a2ec-4bde-ad50-f9e36a3bb5cd/application","descriptionHtml":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.
We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI.
Director of Sales
Location: Seattle, WA. Customer travel up to 40%.
Role Overview
d-Matrix is hiring a Director of Sales to drive revenue growth for our inference platform as Corsair moves into volume production. You'll own a portfolio of strategic accounts across hyperscalers, neoclouds, AI labs, and AI-native enterprises. You'll run the full sales cycle, from first technical engagement and proof-of-concept through multi-rack deployment commitments. You'll sell Corsair accelerators, JetStream networking, the Aviator software stack, and SquadRack rack-scale systems. You'll work closely with product, solutions engineers, operations, and ecosystem partners. You'll also help build the playbooks, processes, and team as our commercial organization scales.
What You Will Do
Own and grow a portfolio of strategic accounts, maintaining account plans, call cadences, and clear next steps on every active opportunity.
Lead complex, multi-stakeholder sales cycles for Corsair, JetStream, Aviator, and SquadRack. Engage infrastructure, platform, procurement, and executive stakeholders to qualify opportunities and build business cases.
Coordinate benchmarking, evaluations, and proof-of-concept deployments with solutions engineers, and convert them into production commitments.
Prepare proposals, quotes, pricing, and RFI/RFP responses with Finance and Product. Negotiate commercial terms, including volume pricing, supply allocation, delivery schedules, and support agreements.
Run weekly pipeline reviews and the quarterly forecast. Report bookings, revenue, deal health, and win/loss results to company leadership.
Partner with Operations and Supply Chain to align customer demand with production ramp and allocation. Work with ecosystem partners on joint go-to-market and co-selling.
Translate customer requirements and competitive insights into actionable product roadmap feedback.
Build sales playbooks, processes, and tools (e.g., CRM) as the team scales, and represent d-Matrix at industry events.
What You Will Bring
8+ years of enterprise or strategic sales experience in data center infrastructure (semiconductors, AI accelerators, GPUs, servers, or networking), including 3+ years selling to hyperscale or cloud customers.
Track record of closing multi-million-dollar hardware and/or platform deals with long, technically complex sales cycles.
Established relationships with infrastructure and procurement decision-makers.
Technical fluency in AI infrastructure, including inference workloads, accelerator architectures, and data center power, cooling, and rack-level considerations.
Excellent communication, negotiation, and executive presence, with the ability to influence across customer and internal organizations.
Experience with CRM-driven pipeline management and disciplined forecasting.
Bachelor's degree in engineering, business, or a related field.
Preferred Qualifications
Experience selling AI inference or training silicon.
Experience introducing a new architecture or product category into accounts with an established incumbent.
Experience working with system partners.
Experience at a growth-stage startup.
Existing network in the Seattle-area cloud ecosystem or the Bay Area.
Equal Opportunity Employment Policy
d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.
d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.
","descriptionPlain":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.\n\nWe value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI. \n\nDirector of Sales\nLocation: Seattle, WA. Customer travel up to 40%.\n\nRole Overview\n\nd-Matrix is hiring a Director of Sales to drive revenue growth for our inference platform as Corsair moves into volume production. You'll own a portfolio of strategic accounts across hyperscalers, neoclouds, AI labs, and AI-native enterprises. You'll run the full sales cycle, from first technical engagement and proof-of-concept through multi-rack deployment commitments. You'll sell Corsair accelerators, JetStream networking, the Aviator software stack, and SquadRack rack-scale systems. You'll work closely with product, solutions engineers, operations, and ecosystem partners. You'll also help build the playbooks, processes, and team as our commercial organization scales.\n\nWhat You Will Do\n\n - Own and grow a portfolio of strategic accounts, maintaining account plans, call cadences, and clear next steps on every active opportunity.\n\n - Lead complex, multi-stakeholder sales cycles for Corsair, JetStream, Aviator, and SquadRack. Engage infrastructure, platform, procurement, and executive stakeholders to qualify opportunities and build business cases.\n\n - Coordinate benchmarking, evaluations, and proof-of-concept deployments with solutions engineers, and convert them into production commitments.\n\n - Prepare proposals, quotes, pricing, and RFI/RFP responses with Finance and Product. Negotiate commercial terms, including volume pricing, supply allocation, delivery schedules, and support agreements.\n\n - Run weekly pipeline reviews and the quarterly forecast. Report bookings, revenue, deal health, and win/loss results to company leadership.\n\n - Partner with Operations and Supply Chain to align customer demand with production ramp and allocation. Work with ecosystem partners on joint go-to-market and co-selling.\n\n - Translate customer requirements and competitive insights into actionable product roadmap feedback.\n\n - Build sales playbooks, processes, and tools (e.g., CRM) as the team scales, and represent d-Matrix at industry events.\n\nWhat You Will Bring\n\n - 8+ years of enterprise or strategic sales experience in data center infrastructure (semiconductors, AI accelerators, GPUs, servers, or networking), including 3+ years selling to hyperscale or cloud customers.\n\n - Track record of closing multi-million-dollar hardware and/or platform deals with long, technically complex sales cycles.\n\n - Established relationships with infrastructure and procurement decision-makers.\n\n - Technical fluency in AI infrastructure, including inference workloads, accelerator architectures, and data center power, cooling, and rack-level considerations.\n\n - Excellent communication, negotiation, and executive presence, with the ability to influence across customer and internal organizations.\n\n - Experience with CRM-driven pipeline management and disciplined forecasting.\n\n - Bachelor's degree in engineering, business, or a related field.\n\nPreferred Qualifications\n\n - Experience selling AI inference or training silicon.\n\n - Experience introducing a new architecture or product category into accounts with an established incumbent.\n\n - Experience working with system partners.\n\n - Experience at a growth-stage startup.\n\n - Existing network in the Seattle-area cloud ecosystem or the Bay Area.\n\nEqual Opportunity Employment Policy\n\nd-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.\n\nd-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation. ","compensation":{"compensationTierSummary":"$200K – $250K • Offers Equity • Offers Commission • Base Salary $200K to $250K + Commission + Equity","scrapeableCompensationSalarySummary":"$200K - $250K","compensationTiers":[{"id":"4187e711-c2ec-4a1e-97a5-a22396f9afb2","tierSummary":"Base Salary $200K – $250K • Offers Equity • Offers Commission • Base Salary $200K to $250K + Commission + Equity","title":null,"additionalInformation":"Base Salary $200K to $250K + Commission + Equity","components":[{"id":"e83ecde4-b63c-4f6b-9aed-bce83be05c4a","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"916115d5-8969-4867-84ff-529d28b25a0d","summary":"Offers Commission","compensationType":"Commission","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"17ff450d-9479-4c0c-adeb-9398ff833495","summary":"Base Salary $200K – $250K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":200000,"maxValue":250000}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Commission","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":200000,"maxValue":250000}]}},{"id":"8c30cdc3-43a0-4f02-a5d6-a48f58c86177","title":"Staff Software Engineer, Developer Automation - Bazel","department":"Software Engineering","team":"Software Engineering","employmentType":"FullTime","location":"Santa Clara","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-10-09T13:47:45.488+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"Ca","addressCountry":"United States","addressLocality":"Santa Clara, Ca"}},"jobUrl":"https://jobs.ashbyhq.com/d-Matrix/8c30cdc3-43a0-4f02-a5d6-a48f58c86177","applyUrl":"https://jobs.ashbyhq.com/d-Matrix/8c30cdc3-43a0-4f02-a5d6-a48f58c86177/application","descriptionHtml":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.
We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI.
Location
Santa Clara, CA (Hybrid 3 days a week)
Role Overview
Build time is a tax every engineer pays on every change, and our stack collects it at a high rate. An MLIR-based compiler, Rust and C++ runtimes, and a large Python ML codebase have to produce identical results on a laptop, in CI, and on a machine with an accelerator in it. You will lead d-Matrix's Bazel build-out. That means finishing the in-progress migration and designing the distributed build infrastructure that doesn't exist yet. You will own the build graph, toolchains, caching and remote execution, and the conventions every engineering team builds against. You will partner closely with development groups and with the engineers who run our runner fleet and cloud environments. When build and test time drops, every group in the company moves faster.
What You Will Do
Complete the Bazel migration, including the hardest remaining components.
Migrate the test suite to Bazel, with correct tagging and sharding, and route hardware-dependent tests to executors that have the hardware.
Design, deploy, and operate remote execution in production.
Build hermetic toolchains and reproducible builds across developer machines, CI, and hardware-attached runners.
Raise cache hit rate to target and build trust in the cache, so no one runs a clean build \"to be safe.\"
Establish a build-time baseline in your first quarter, then reduce median incremental build time and CI critical path against it.
Evolve the CI/CD system to keep pace with agent-assisted development.
Raise the standard of Bazel usage across teams by making the correct path the easy one and sharing best practices.
What You Will Bring
Deep Bazel experience as an owner: custom rules, toolchains, and target graph design in a large repository.
Experience migrating a real codebase onto Bazel, including the long tail.
Hands-on experience deploying and operating remote caching or remote execution, self-hosted or vendor-provided.
Experience with hermetic, reproducible, and observable builds, including custom toolchains.
Strong knowledge of C++, Rust, Python, Linux, and container image builds.
Persistence in debugging non-reproducible builds and unexplained cache misses to root cause.
A track record of partnering with other teams to understand their needs and spread best practices.
A pragmatic bias toward incremental migration that keeps people productive.
Preferred Qualifications
Experience migrating test suites to Bazel.
Kubernetes-based executor pools.
Embedded or firmware cross-compilation. Firmware is not in Bazel today, and you would help decide whether it should be.
Open source contributions to the Bazel ecosystem.
Equal Opportunity Employment Policy
d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.
d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.
","descriptionPlain":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.\n\nWe value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI. \n\nLocation\nSanta Clara, CA (Hybrid 3 days a week)\n\nRole Overview\n\nBuild time is a tax every engineer pays on every change, and our stack collects it at a high rate. An MLIR-based compiler, Rust and C++ runtimes, and a large Python ML codebase have to produce identical results on a laptop, in CI, and on a machine with an accelerator in it. You will lead d-Matrix's Bazel build-out. That means finishing the in-progress migration and designing the distributed build infrastructure that doesn't exist yet. You will own the build graph, toolchains, caching and remote execution, and the conventions every engineering team builds against. You will partner closely with development groups and with the engineers who run our runner fleet and cloud environments. When build and test time drops, every group in the company moves faster.\n\nWhat You Will Do\n\n - Complete the Bazel migration, including the hardest remaining components.\n\n - Migrate the test suite to Bazel, with correct tagging and sharding, and route hardware-dependent tests to executors that have the hardware.\n\n - Design, deploy, and operate remote execution in production.\n\n - Build hermetic toolchains and reproducible builds across developer machines, CI, and hardware-attached runners.\n\n - Raise cache hit rate to target and build trust in the cache, so no one runs a clean build \"to be safe.\"\n\n - Establish a build-time baseline in your first quarter, then reduce median incremental build time and CI critical path against it.\n\n - Evolve the CI/CD system to keep pace with agent-assisted development.\n\n - Raise the standard of Bazel usage across teams by making the correct path the easy one and sharing best practices.\n\nWhat You Will Bring\n\n - Deep Bazel experience as an owner: custom rules, toolchains, and target graph design in a large repository.\n\n - Experience migrating a real codebase onto Bazel, including the long tail.\n\n - Hands-on experience deploying and operating remote caching or remote execution, self-hosted or vendor-provided.\n\n - Experience with hermetic, reproducible, and observable builds, including custom toolchains.\n\n - Strong knowledge of C++, Rust, Python, Linux, and container image builds.\n\n - Persistence in debugging non-reproducible builds and unexplained cache misses to root cause.\n\n - A track record of partnering with other teams to understand their needs and spread best practices.\n\n - A pragmatic bias toward incremental migration that keeps people productive.\n\nPreferred Qualifications\n\n - Experience migrating test suites to Bazel.\n\n - Kubernetes-based executor pools.\n\n - Embedded or firmware cross-compilation. Firmware is not in Bazel today, and you would help decide whether it should be.\n\n - Open source contributions to the Bazel ecosystem.\n\nEqual Opportunity Employment Policy\n\nd-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.\n\nd-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation. ","compensation":{"compensationTierSummary":"$155K – $235K • Offers Equity • Offers Bonus","scrapeableCompensationSalarySummary":"$155K - $235K","compensationTiers":[{"id":"f05bf592-0d8b-401f-a5a7-6e8115cbe2d4","tierSummary":"$155K – $235K • Offers Equity • Offers Bonus","title":null,"additionalInformation":null,"components":[{"id":"42a29ee9-125c-4ac2-a3c2-db790151d3cf","summary":"$155K – $235K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":155000,"maxValue":235000},{"id":"4e4aacd1-fccd-4309-8cc8-8831ecf1ac86","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"29724404-2db6-4f3e-bf61-94e49ed9593e","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":155000,"maxValue":235000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}},{"id":"66265dc0-413b-4b60-bd46-1df24e7b4fc2","title":"Staff Test & Release Engineer, Inference Cloud","department":"Software Engineering","team":"Inference Execution","employmentType":"FullTime","location":"Santa Clara","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-10-15T20:32:47.393+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"Ca","addressCountry":"United States","addressLocality":"Santa Clara, Ca"}},"jobUrl":"https://jobs.ashbyhq.com/d-Matrix/66265dc0-413b-4b60-bd46-1df24e7b4fc2","applyUrl":"https://jobs.ashbyhq.com/d-Matrix/66265dc0-413b-4b60-bd46-1df24e7b4fc2/application","descriptionHtml":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.
We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI.
Staff Test & Release Engineer, Inference Cloud
Location: Santa Clara, Ca / Remote, US
Role Overview
The Inference Cloud Engineering team builds the deployment and orchestration technology behind d-Matrix’s inference services: an internal cloud where teams test and tune models, and a customer-facing Cloud with self-service inference endpoints and compute. Our accelerators run in on-premises clusters, and parts of the internal cloud also run in Azure. As the Staff Test & Release Engineer, you will own how this software is tested end to end and how it is released. When we say a feature is done, an automated test has proven it works as the user story describes, on the hardware it will run on, and the release process can deliver it to customers predictably and roll it back safely. Many workloads span d-Matrix Corsair accelerators and GPUs, and that hardware is scarce and shared, which makes test design challenging. You will build on existing test suites, CI pipelines, and benchmarks, keep what works, and change the rest. You will partner with QE, product, platform, and infrastructure teams to build a test and release system that scales without slowing development. This is not a manual testing, gatekeeping, company-wide CI/CD, or performance engineering role.
What You Will Do
Design and build end-to-end test infrastructure for Inference Cloud that stands up homogeneous and heterogeneous inference deployments on demand, runs tests against them, and tears them down.
Turn user stories and acceptance criteria into automated end-to-end tests, including failure cases such as invalid API keys, unavailable endpoints, and failed draft nodes.
Bring real hardware into CI by running tests on GPU and Corsair nodes, scheduling fairly on a limited shared pool, and owning test-signal quality, including flaky tests and fast routing of failures to the right owner.
Own the release strategy for the orchestration platform, Kubernetes tooling, and benchmarking tools, including versioning, cadence, branching, promotion, rollback, release notes, and go/no-go criteria.
Lead the move from a single platform-wide release to independently released components, defining the component breakdown, cadence, versioning, and compatibility and upgrade testing with platform architects.
Define release gates covering functional tests, upgrade and compatibility tests, model accuracy evals, and performance baselines (time to first token, time per output token, throughput).
Partner with QE, product, platform, and infrastructure teams on a shared test strategy, and push for acceptance criteria specific enough to test.
Enable feature engineers to write and own tests for their own work.
What You Will Bring
6+ years in test infrastructure, software engineering in test, release engineering, or a closely related role, including owning end-to-end testing or releases for a distributed system.
Track record of building test or release automation that measurably improved release reliability or speed.
Experience running test and release infrastructure across on-premises clusters and a public cloud, preferably Azure (AKS, Azure DevOps or GitHub Actions on Azure, Azure networking and identity).
Strong Kubernetes experience, including deploying and debugging multi-service workloads, Helm, operators and custom resources, and automated test cluster setup and teardown.
Experience designing CI/CD pipelines (such as GitLab CI, GitHub Actions, Buildkite, or Argo), including artifact versioning, environment promotion, and rollback.
Proficiency in Python and pytest or a comparable framework, plus fluency in a second language sufficient to read and test the code under qualification (much of our orchestration layer is Rust).
Experience testing on shared, limited hardware such as GPU or accelerator fleets, accounting for scheduling, contention, and hardware faults.
Sound judgment about what to test end to end versus lower in the stack, and the ability to explain tradeoffs to code owners.
Record of building consensus across teams and turning input into a strategy people follow.
Fluency with AI and agentic tools for writing tests, triaging failures, and searching logs and code, with the discipline to verify their output.
Preferred Qualifications
Experience testing or releasing LLM serving systems such as vLLM, SGLang, or TensorRT-LLM, including accuracy evals (such as GSM8K, HumanEval, MMLU) and performance benchmarks as release gates.
Familiarity with speculative decoding, disaggregated serving, or heterogeneous inference.
Hardware-in-the-loop testing experience, including qualifying software across driver, firmware, and hardware versions.
Experience with operator and controller testing tools such as envtest, kuttl, or chainsaw, and with upgrade and CRD version-migration testing.
Experience shipping software into customer-managed, on-premises Kubernetes environments, including compatibility matrices and customer install packaging.
Experience with canary or progressive rollouts for customer-facing services.
Rust experience.
Startup experience or comfort in environments where priorities shift quickly.
Equal Opportunity Employment Policy
d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.
d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.
","descriptionPlain":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.\n\nWe value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI. \n\nStaff Test & Release Engineer, Inference Cloud\n\nLocation: Santa Clara, Ca / Remote, US\n\n\n\nRole Overview\n\nThe Inference Cloud Engineering team builds the deployment and orchestration technology behind d-Matrix’s inference services: an internal cloud where teams test and tune models, and a customer-facing Cloud with self-service inference endpoints and compute. Our accelerators run in on-premises clusters, and parts of the internal cloud also run in Azure. As the Staff Test & Release Engineer, you will own how this software is tested end to end and how it is released. When we say a feature is done, an automated test has proven it works as the user story describes, on the hardware it will run on, and the release process can deliver it to customers predictably and roll it back safely. Many workloads span d-Matrix Corsair accelerators and GPUs, and that hardware is scarce and shared, which makes test design challenging. You will build on existing test suites, CI pipelines, and benchmarks, keep what works, and change the rest. You will partner with QE, product, platform, and infrastructure teams to build a test and release system that scales without slowing development. This is not a manual testing, gatekeeping, company-wide CI/CD, or performance engineering role.\n\n\n\nWhat You Will Do\n\n - Design and build end-to-end test infrastructure for Inference Cloud that stands up homogeneous and heterogeneous inference deployments on demand, runs tests against them, and tears them down.\n\n - Turn user stories and acceptance criteria into automated end-to-end tests, including failure cases such as invalid API keys, unavailable endpoints, and failed draft nodes.\n\n - Bring real hardware into CI by running tests on GPU and Corsair nodes, scheduling fairly on a limited shared pool, and owning test-signal quality, including flaky tests and fast routing of failures to the right owner.\n\n - Own the release strategy for the orchestration platform, Kubernetes tooling, and benchmarking tools, including versioning, cadence, branching, promotion, rollback, release notes, and go/no-go criteria.\n\n - Lead the move from a single platform-wide release to independently released components, defining the component breakdown, cadence, versioning, and compatibility and upgrade testing with platform architects.\n\n - Define release gates covering functional tests, upgrade and compatibility tests, model accuracy evals, and performance baselines (time to first token, time per output token, throughput).\n\n - Partner with QE, product, platform, and infrastructure teams on a shared test strategy, and push for acceptance criteria specific enough to test.\n\n - Enable feature engineers to write and own tests for their own work.\n\n\n\nWhat You Will Bring\n\n - 6+ years in test infrastructure, software engineering in test, release engineering, or a closely related role, including owning end-to-end testing or releases for a distributed system.\n\n - Track record of building test or release automation that measurably improved release reliability or speed.\n\n - Experience running test and release infrastructure across on-premises clusters and a public cloud, preferably Azure (AKS, Azure DevOps or GitHub Actions on Azure, Azure networking and identity).\n\n - Strong Kubernetes experience, including deploying and debugging multi-service workloads, Helm, operators and custom resources, and automated test cluster setup and teardown.\n\n - Experience designing CI/CD pipelines (such as GitLab CI, GitHub Actions, Buildkite, or Argo), including artifact versioning, environment promotion, and rollback.\n\n - Proficiency in Python and pytest or a comparable framework, plus fluency in a second language sufficient to read and test the code under qualification (much of our orchestration layer is Rust).\n\n - Experience testing on shared, limited hardware such as GPU or accelerator fleets, accounting for scheduling, contention, and hardware faults.\n\n - Sound judgment about what to test end to end versus lower in the stack, and the ability to explain tradeoffs to code owners.\n\n - Record of building consensus across teams and turning input into a strategy people follow.\n\n - Fluency with AI and agentic tools for writing tests, triaging failures, and searching logs and code, with the discipline to verify their output.\n\n\n\nPreferred Qualifications\n\n - Experience testing or releasing LLM serving systems such as vLLM, SGLang, or TensorRT-LLM, including accuracy evals (such as GSM8K, HumanEval, MMLU) and performance benchmarks as release gates.\n\n - Familiarity with speculative decoding, disaggregated serving, or heterogeneous inference.\n\n - Hardware-in-the-loop testing experience, including qualifying software across driver, firmware, and hardware versions.\n\n - Experience with operator and controller testing tools such as envtest, kuttl, or chainsaw, and with upgrade and CRD version-migration testing.\n\n - Experience shipping software into customer-managed, on-premises Kubernetes environments, including compatibility matrices and customer install packaging.\n\n - Experience with canary or progressive rollouts for customer-facing services.\n\n - Rust experience.\n\n - Startup experience or comfort in environments where priorities shift quickly.\n\nEqual Opportunity Employment Policy\n\nd-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.\n\nd-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation. ","compensation":{"compensationTierSummary":"$155K – $235K • Offers Equity • Offers Bonus","scrapeableCompensationSalarySummary":"$155K - $235K","compensationTiers":[{"id":"69c3060c-8e52-40c6-a8de-459679ae9392","tierSummary":"$155K – $235K • Offers Equity • Offers Bonus","title":null,"additionalInformation":null,"components":[{"id":"66da5a3b-18db-4441-9cfd-82ac33cfb62d","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"6a8a299c-1e6a-45a3-9b15-78ddba9fcb36","summary":"$155K – $235K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":155000,"maxValue":235000},{"id":"55f1268d-e929-4024-a808-66ff5893dd4f","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":155000,"maxValue":235000},{"compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}},{"id":"cabbc342-25fc-4679-8b46-8c7a6850f824","title":"Senior Infrastructure Engineer","department":"Software Engineering","team":"Inference Execution","employmentType":"FullTime","location":"Remote","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-10-15T15:39:38.701+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States","addressLocality":"seattle, WA"}},"jobUrl":"https://jobs.ashbyhq.com/d-Matrix/cabbc342-25fc-4679-8b46-8c7a6850f824","applyUrl":"https://jobs.ashbyhq.com/d-Matrix/cabbc342-25fc-4679-8b46-8c7a6850f824/application","descriptionHtml":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.
We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI.
Senior Infrastructure Engineer
Location: Remote, United States
Role Overview
Software Infrastructure runs the Kubernetes clusters, CI/CD systems, and compute environments that every d-Matrix engineer builds and tests on, along with the systems behind our externally accessible product demos. As a senior infrastructure engineer, you will be the team’s first responder and own issues end to end: diagnosing them, fixing them, and engaging IT or the product software group when the root cause sits with them. Our environment combines cloud resources, conventional servers, and our own AI accelerators and networking hardware, so quickly isolating the cause is central to the job. When an issue recurs, you will turn it into automation, better alerting, or a runbook. This is not an IT support or ticket-queue role, and IT owns physical hardware; we manage everything from the operating system up. On-call participation is expected.
What You Will Do
Own first response and resolution for issues across Kubernetes clusters, GitLab and CI runners, VMs, standalone systems, and demo environments
Triage across teams with IT and the product software group when the root cause sits on their side
Convert recurring issues into automation, alerts, and runbooks so repeat incidents decline
Improve monitoring and alerting to reduce false alarms and speed detection of real problems
Perform routine operational work, including upgrades, patching, certificate renewals, and capacity checks
Ship automation and improvements the team relies on, beyond individual fixes
Participate in on-call coverage for the environment
Contribute to design and build work across the team’s systems as your scope grows
What You Will Bring
2+ years operating production Linux systems, including hands-on Kubernetes troubleshooting
Methodical debugging skills: forming hypotheses, narrowing them quickly, and working across layers when the obvious answer is wrong
Scripting experience in Python and/or Bash
Familiarity with CI/CD systems (GitLab preferred)
Working knowledge of networking fundamentals, including DNS, routing, load balancing, and TLS
Experience with monitoring and observability tools
Clear communication under pressure, including concise incident status updates
Drive and curiosity to learn unfamiliar systems and how state-of-the-art inference systems are built
Preferred Qualifications
Experience with GPU or accelerator nodes in Kubernetes
Experience with infrastructure-as-code tools such as Ansible or Terraform
Experience with monitoring platforms such as DataDog, Prometheus, or Grafana
Bare metal or on-prem infrastructure experience
CKA or CKAD certification
Equal Opportunity Employment Policy
d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.
d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.
","descriptionPlain":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.\n\nWe value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI. \n\nSenior Infrastructure Engineer\nLocation: Remote, United States\n\n\nRole Overview\n\nSoftware Infrastructure runs the Kubernetes clusters, CI/CD systems, and compute environments that every d-Matrix engineer builds and tests on, along with the systems behind our externally accessible product demos. As a senior infrastructure engineer, you will be the team’s first responder and own issues end to end: diagnosing them, fixing them, and engaging IT or the product software group when the root cause sits with them. Our environment combines cloud resources, conventional servers, and our own AI accelerators and networking hardware, so quickly isolating the cause is central to the job. When an issue recurs, you will turn it into automation, better alerting, or a runbook. This is not an IT support or ticket-queue role, and IT owns physical hardware; we manage everything from the operating system up. On-call participation is expected.\n\n\nWhat You Will Do\n\n - Own first response and resolution for issues across Kubernetes clusters, GitLab and CI runners, VMs, standalone systems, and demo environments\n\n - Triage across teams with IT and the product software group when the root cause sits on their side\n\n - Convert recurring issues into automation, alerts, and runbooks so repeat incidents decline\n\n - Improve monitoring and alerting to reduce false alarms and speed detection of real problems\n\n - Perform routine operational work, including upgrades, patching, certificate renewals, and capacity checks\n\n - Ship automation and improvements the team relies on, beyond individual fixes\n\n - Participate in on-call coverage for the environment\n\n - Contribute to design and build work across the team’s systems as your scope grows\n \n\nWhat You Will Bring\n\n - 2+ years operating production Linux systems, including hands-on Kubernetes troubleshooting\n\n - Methodical debugging skills: forming hypotheses, narrowing them quickly, and working across layers when the obvious answer is wrong\n\n - Scripting experience in Python and/or Bash\n\n - Familiarity with CI/CD systems (GitLab preferred)\n\n - Working knowledge of networking fundamentals, including DNS, routing, load balancing, and TLS\n\n - Experience with monitoring and observability tools\n\n - Clear communication under pressure, including concise incident status updates\n\n - Drive and curiosity to learn unfamiliar systems and how state-of-the-art inference systems are built\n \n\nPreferred Qualifications\n\n - Experience with GPU or accelerator nodes in Kubernetes\n\n - Experience with infrastructure-as-code tools such as Ansible or Terraform\n\n - Experience with monitoring platforms such as DataDog, Prometheus, or Grafana\n\n - Bare metal or on-prem infrastructure experience\n\n - CKA or CKAD certification\n\nEqual Opportunity Employment Policy\n\nd-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.\n\nd-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation. ","compensation":{"compensationTierSummary":"$98K – $150K • Offers Equity • Offers Bonus","scrapeableCompensationSalarySummary":"$98K - $150K","compensationTiers":[{"id":"a7591db2-aa6b-42d2-b170-70691c299006","tierSummary":"$98K – $150K • Offers Equity • Offers Bonus","title":null,"additionalInformation":null,"components":[{"id":"0521c480-8bf8-4e99-86fc-dee4f86eba48","summary":"$98K – $150K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":98000,"maxValue":150000},{"id":"b01473c5-1274-411d-aa0b-1ca54973b82c","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"8af24e68-1e81-4a7f-9992-cf7cea47a498","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":98000,"maxValue":150000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}},{"id":"60df1a00-6f18-4ef4-b1dc-839fd4333e60","title":"Principal Test Automation Engineer","department":"Software Engineering","team":"Quality Assurance","employmentType":"FullTime","location":"Santa Clara","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-10-15T20:30:46.021+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"Ca","addressCountry":"United States","addressLocality":"Santa Clara, Ca"}},"jobUrl":"https://jobs.ashbyhq.com/d-Matrix/60df1a00-6f18-4ef4-b1dc-839fd4333e60","applyUrl":"https://jobs.ashbyhq.com/d-Matrix/60df1a00-6f18-4ef4-b1dc-839fd4333e60/application","descriptionHtml":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.
We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI.
Principal Test Automation Engineer
Location: Santa Clara, Ca / Remote, US
Role Overview
d-Matrix is hiring a Principal Software Engineer to define and build how we use AI-enabled automation across the software development lifecycle, from build and CI through testing and release. Our codebase spans a kernel compiler, firmware, device drivers, and an inference serving stack running on silicon we designed ourselves. Tests require real hardware, correctness is numerical rather than pass/fail, and failures can originate in any of several layers. You will set the technical direction for AI-enabled workflow automation and build the foundations other engineers rely on, including the agent harness, integrations into GitLab, Jira, test results, and logs, guardrails, and evaluation methods that show whether an automation actually helped. You will stay hands-on and ship the hardest pieces yourself, working alongside a Senior/Staff engineer in the same area while raising the bar for how the broader engineering organization uses AI in its daily work.
What You Will Do
Set the technical direction for AI-enabled workflow automation across build, CI, test, and release.
Build the shared foundation, including the agent harness and tool integrations into GitLab, Jira, test results, logs, and observability data.
Develop evaluation methodology to measure whether an automation saves time and preserves correctness.
Define guardrails and standards for where AI acts autonomously, where it proposes and a human decides, and how every change stays auditable.
Deliver the first Quality Engineering automations, including cross-layer failure attribution, failure clustering and defect deduplication, coverage-gap analysis, and release-readiness summaries.
Raise the bar across engineering through shared patterns, design reviews, and mentoring.
Determine when an agent, a deterministic tool with a narrow model step, or a simple script is the right solution, and teach that judgment to others.
What You Will Bring
Extensive production software engineering experience, with strong Python skills.
Enough Rust and/or C++ experience to understand build flows and diagnose compiler errors.
Experience shipping AI-enabled tools or automation that others relied on in production, beyond demos.
Deep hands-on experience with LLM APIs, agent harnesses, tool integration, and context engineering.
Experience designing evaluations for nondeterministic systems, showing that an automation helped without breaking something else.
Sound judgment about when AI is the right tool, including examples of choosing not to use it.
Strong fluency across the development lifecycle, including CI/CD, testing, and release processes.
A track record of setting technical direction across teams that do not report to you.
Preferred Qualifications
Exposure to compilers, firmware, or hardware-in-the-loop test environments.
Experience building tool integrations with MCP or similar protocols.
Experience working with GitLab, Jira, or Prometheus APIs.
Experience managing cost and latency in LLM-based systems.
Daily use of AI coding tools such as Claude Code, Cursor, or Copilot, with well-formed opinions on where they help and where they do not.
Equal Opportunity Employment Policy
d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.
d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.
","descriptionPlain":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.\n\nWe value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI. \n\nPrincipal Test Automation Engineer\n\nLocation: Santa Clara, Ca / Remote, US\n\n\n\nRole Overview\n\nd-Matrix is hiring a Principal Software Engineer to define and build how we use AI-enabled automation across the software development lifecycle, from build and CI through testing and release. Our codebase spans a kernel compiler, firmware, device drivers, and an inference serving stack running on silicon we designed ourselves. Tests require real hardware, correctness is numerical rather than pass/fail, and failures can originate in any of several layers. You will set the technical direction for AI-enabled workflow automation and build the foundations other engineers rely on, including the agent harness, integrations into GitLab, Jira, test results, and logs, guardrails, and evaluation methods that show whether an automation actually helped. You will stay hands-on and ship the hardest pieces yourself, working alongside a Senior/Staff engineer in the same area while raising the bar for how the broader engineering organization uses AI in its daily work.\n\n\n\nWhat You Will Do\n\n - Set the technical direction for AI-enabled workflow automation across build, CI, test, and release.\n\n - Build the shared foundation, including the agent harness and tool integrations into GitLab, Jira, test results, logs, and observability data.\n\n - Develop evaluation methodology to measure whether an automation saves time and preserves correctness.\n\n - Define guardrails and standards for where AI acts autonomously, where it proposes and a human decides, and how every change stays auditable.\n\n - Deliver the first Quality Engineering automations, including cross-layer failure attribution, failure clustering and defect deduplication, coverage-gap analysis, and release-readiness summaries.\n\n - Raise the bar across engineering through shared patterns, design reviews, and mentoring.\n\n - Determine when an agent, a deterministic tool with a narrow model step, or a simple script is the right solution, and teach that judgment to others.\n\n\n\nWhat You Will Bring\n\n - Extensive production software engineering experience, with strong Python skills.\n\n - Enough Rust and/or C++ experience to understand build flows and diagnose compiler errors.\n\n - Experience shipping AI-enabled tools or automation that others relied on in production, beyond demos.\n\n - Deep hands-on experience with LLM APIs, agent harnesses, tool integration, and context engineering.\n\n - Experience designing evaluations for nondeterministic systems, showing that an automation helped without breaking something else.\n\n - Sound judgment about when AI is the right tool, including examples of choosing not to use it.\n\n - Strong fluency across the development lifecycle, including CI/CD, testing, and release processes.\n\n - A track record of setting technical direction across teams that do not report to you.\n\n\n\nPreferred Qualifications\n\n - Exposure to compilers, firmware, or hardware-in-the-loop test environments.\n\n - Experience building tool integrations with MCP or similar protocols.\n\n - Experience working with GitLab, Jira, or Prometheus APIs.\n\n - Experience managing cost and latency in LLM-based systems.\n\n - Daily use of AI coding tools such as Claude Code, Cursor, or Copilot, with well-formed opinions on where they help and where they do not.\n\nEqual Opportunity Employment Policy\n\nd-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.\n\nd-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation. ","compensation":{"compensationTierSummary":"$195K – $285K • Offers Bonus","scrapeableCompensationSalarySummary":"$195K - $285K","compensationTiers":[{"id":"ad5176f9-27a7-4730-acb2-a4d100fc5e28","tierSummary":"$195K – $285K • Offers Bonus","title":null,"additionalInformation":null,"components":[{"id":"c8ad2290-96cf-4cbe-abc9-6f524a669214","summary":"$195K – $285K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":195000,"maxValue":285000},{"id":"3c8a4df5-0f8e-4faa-8a26-397df45df04e","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":195000,"maxValue":285000},{"compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}},{"id":"f637e097-d12a-4d0c-afd9-fc5f355ad27d","title":"Senior Staff Inference Performance Engineer","department":"Software Engineering","team":"Inference Execution","employmentType":"FullTime","location":"Santa Clara","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"Remote","address":{"postalAddress":{"addressCountry":"United States","addressLocality":"seattle, WA"}}}],"publishedAt":"2026-10-15T20:35:50.027+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"Ca","addressCountry":"United States","addressLocality":"Santa Clara, Ca"}},"jobUrl":"https://jobs.ashbyhq.com/d-Matrix/f637e097-d12a-4d0c-afd9-fc5f355ad27d","applyUrl":"https://jobs.ashbyhq.com/d-Matrix/f637e097-d12a-4d0c-afd9-fc5f355ad27d/application","descriptionHtml":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.
We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI.
Senior Staff Inference Performance Engineer
Location: Santa Clara, CA / Remote, US
Role Overview
The Inference Cloud Engineering team builds the deployment and orchestration technology behind d-Matrix’s inference services: an internal cloud where teams test and tune models, and a customer-facing Cloud with self-service inference endpoints and compute. As the team’s Inference Performance Engineer, you will own end-to-end performance of the workloads we deploy, from the moment a request arrives to the moment a result is returned. The standard is that a workload on our orchestrated platform should perform at least as well as it does on bare metal. Today’s workloads include speculative decoding and attention-FFN disaggregation across d-Matrix Corsair accelerators and GPUs, with more heterogeneous architectures coming. Because there is no fixed system to master, the job is a method: profile first, form a hypothesis, test it, and then change the system. You will own the outcome, not every fix. Many root causes sit with other teams, so you will fix what you understand well and hand off the rest with evidence the owning team can act on.
What You Will Do
Diagnose performance problems across the full serving path, from orchestration (scheduling, placement, networking, autoscaling) to inference internals (batching, KV-cache, prefill/decode, serving framework, driver and runtime, interconnect, host OS and NUMA, accelerator).
Isolate each problem to a specific layer and owner, then decide whether to fix it directly, route it to the owning team, or both, with a workaround now and a tracked handoff for the permanent fix.
Write minimal, reproducible problem statements for cross-stack findings so owning teams can act without repeating the investigation.
Protect throughput, latency, and stability targets for orchestrated workloads by finding and closing gaps against bare metal, such as placement overhead, non-performance power defaults, and extra network hops.
Assess what it takes to scale from single deployments to fleet operation, including routing, placement, and shared-resource contention.
Capture each workload’s node requirements (CPU placement, memory and NUMA locality, network path) in the orchestration layer’s configuration so performant deployment is the default.
Build lightweight telemetry and benchmarks that reach into prototype stacks to isolate or hand off problems.
Turn recurring investigations into playbooks and mentor engineers in the profiling-first method.
What You Will Bring
8+ years of hands-on performance or systems engineering, including resolving hard regressions that crossed multiple layers of a stack.
Track record of finding performance overhead through profiling in unfamiliar, sparsely documented systems, valued more than experience with any specific vendor stack or accelerator.
Deep systems fundamentals, including Linux internals, NUMA, CPU pinning and cpusets, PCIe, memory and cache behavior, and network paths.
Experience running performance-sensitive workloads on Kubernetes, including identifying when scheduler defaults, network overlays, or orchestration abstractions cost latency or throughput, and closing the gap.
Working knowledge of LLM inference serving, including batching, KV-cache, prefill/decode, quantization, and speculative decoding.
Proficiency in Python and C/C++, sufficient to instrument, debug, and patch code across the stack.
Clear technical writing that hardware, firmware, or platform teams can act on without context from your part of the stack.
Sound judgment about ownership, with examples of correctly handing off problems that were not yours to fix.
Fluency with AI and agentic tools for investigation, code search, log triage, and drafting instrumentation, with the discipline to verify output against real data.
Preferred Qualifications
Experience with LLM serving frameworks such as vLLM, SGLang, or TensorRT-LLM.
Hands-on experience building or tuning speculative decoding, disaggregated serving, or heterogeneous serving architectures.
Experience tuning KV-cache management, request and batch scheduling, or weight prefetch and residency in an LLM serving system.
GPU programming and profiling experience (such as CUDA, Nsight, NCCL), valued as transferable background.
Experience with pre-production or bring-up hardware, or in organizations where root causes routinely cross team boundaries.
Rust experience.
Startup experience or comfort in environments where priorities shift quickly.
Equal Opportunity Employment Policy
d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.
d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.
","descriptionPlain":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.\n\nWe value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI. \n\nSenior Staff Inference Performance Engineer\n\nLocation: Santa Clara, CA / Remote, US\n\n\n\nRole Overview\n\nThe Inference Cloud Engineering team builds the deployment and orchestration technology behind d-Matrix’s inference services: an internal cloud where teams test and tune models, and a customer-facing Cloud with self-service inference endpoints and compute. As the team’s Inference Performance Engineer, you will own end-to-end performance of the workloads we deploy, from the moment a request arrives to the moment a result is returned. The standard is that a workload on our orchestrated platform should perform at least as well as it does on bare metal. Today’s workloads include speculative decoding and attention-FFN disaggregation across d-Matrix Corsair accelerators and GPUs, with more heterogeneous architectures coming. Because there is no fixed system to master, the job is a method: profile first, form a hypothesis, test it, and then change the system. You will own the outcome, not every fix. Many root causes sit with other teams, so you will fix what you understand well and hand off the rest with evidence the owning team can act on.\n\n\n\nWhat You Will Do\n\n - Diagnose performance problems across the full serving path, from orchestration (scheduling, placement, networking, autoscaling) to inference internals (batching, KV-cache, prefill/decode, serving framework, driver and runtime, interconnect, host OS and NUMA, accelerator).\n\n - Isolate each problem to a specific layer and owner, then decide whether to fix it directly, route it to the owning team, or both, with a workaround now and a tracked handoff for the permanent fix.\n\n - Write minimal, reproducible problem statements for cross-stack findings so owning teams can act without repeating the investigation.\n\n - Protect throughput, latency, and stability targets for orchestrated workloads by finding and closing gaps against bare metal, such as placement overhead, non-performance power defaults, and extra network hops.\n\n - Assess what it takes to scale from single deployments to fleet operation, including routing, placement, and shared-resource contention.\n\n - Capture each workload’s node requirements (CPU placement, memory and NUMA locality, network path) in the orchestration layer’s configuration so performant deployment is the default.\n\n - Build lightweight telemetry and benchmarks that reach into prototype stacks to isolate or hand off problems.\n\n - Turn recurring investigations into playbooks and mentor engineers in the profiling-first method.\n\n\n\nWhat You Will Bring\n\n - 8+ years of hands-on performance or systems engineering, including resolving hard regressions that crossed multiple layers of a stack.\n\n - Track record of finding performance overhead through profiling in unfamiliar, sparsely documented systems, valued more than experience with any specific vendor stack or accelerator.\n\n - Deep systems fundamentals, including Linux internals, NUMA, CPU pinning and cpusets, PCIe, memory and cache behavior, and network paths.\n\n - Experience running performance-sensitive workloads on Kubernetes, including identifying when scheduler defaults, network overlays, or orchestration abstractions cost latency or throughput, and closing the gap.\n\n - Working knowledge of LLM inference serving, including batching, KV-cache, prefill/decode, quantization, and speculative decoding.\n\n - Proficiency in Python and C/C++, sufficient to instrument, debug, and patch code across the stack.\n\n - Clear technical writing that hardware, firmware, or platform teams can act on without context from your part of the stack.\n\n - Sound judgment about ownership, with examples of correctly handing off problems that were not yours to fix.\n\n - Fluency with AI and agentic tools for investigation, code search, log triage, and drafting instrumentation, with the discipline to verify output against real data.\n\n\n\nPreferred Qualifications\n\n - Experience with LLM serving frameworks such as vLLM, SGLang, or TensorRT-LLM.\n\n - Hands-on experience building or tuning speculative decoding, disaggregated serving, or heterogeneous serving architectures.\n\n - Experience tuning KV-cache management, request and batch scheduling, or weight prefetch and residency in an LLM serving system.\n\n - GPU programming and profiling experience (such as CUDA, Nsight, NCCL), valued as transferable background.\n\n - Experience with pre-production or bring-up hardware, or in organizations where root causes routinely cross team boundaries.\n\n - Rust experience.\n\n - Startup experience or comfort in environments where priorities shift quickly.\n\nEqual Opportunity Employment Policy\n\nd-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.\n\nd-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation. ","compensation":{"compensationTierSummary":"$175K – $265K • Offers Equity • Offers Bonus","scrapeableCompensationSalarySummary":"$175K - $265K","compensationTiers":[{"id":"41ff2bab-b2d5-4cfd-a572-6a9f2afd1bd5","tierSummary":"$175K – $265K • Offers Equity • Offers Bonus","title":null,"additionalInformation":null,"components":[{"id":"740a6a64-617f-4523-8531-cbac90517817","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"5e5877e7-0a4c-4ad3-9de5-30ca3886fc86","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"0a644992-51f7-4865-9248-8633a0d768cf","summary":"$175K – $265K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":175000,"maxValue":265000}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":175000,"maxValue":265000}]}}],"apiVersion":"1"}