Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Jose or San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
The Operations team plays a critical role in ensuring the seamless end-to-end execution of our AI-IaaS infrastructure and hardware. This team is responsible for sourcing all necessary infrastructure and components, overseeing day-to-day data center operations to maintain optimal performance and uptime, and driving cross company coordination through product management organization to align operational capabilities with strategic goals. By managing the full lifecycle from procurement to deployment and operational efficiency, the Operations team ensures that our AI-driven infrastructure is reliable, scalable, and aligned with business priorities.
What You’ll Do
Manage large scale deployments of GPU clusters in datacenter colocation around the country
Work closely with Data Center engineering and operations to ensure proper deployment of data center infrastructure requirements
Drive multiple simultaneous projects forward, assessing risks, and monitoring tasks.
Proactively manage dependencies and anticipate/resolve execution issues
Partner with a full spectrum of cross-functional stakeholder, including Product, Engineering and Operations – to help ensure that we are building the right thing, testing correctly, deploying on time and meeting stated SLAs for various programs
Manage communication of progress/status with internal stakeholders and customer groups in various locations and time zones
Interact with internal and external stakeholders at various levels concerning resolution of technical and scheduling issues
Build strong partnerships across Lambda and leverage credibility and technical acumen to drive process improvements and efficiencies
Contribute to the development of new business opportunities and expansion of existing business opportunities
You
Have 7+ years of experience in program/project management for complex product development programs
Have a thorough understanding of agile and waterfall management techniques
Poses a technical background, with demonstrated ability to engage on technical topics - typically demonstrated by an Engineering degree or equivalent technical experience
Have excellent leadership and organizational skills
Are a strong communicator, able to structure internal and external communication
Strong ability to humbly lead by influence and by example
Knowledge and expertise using various project management tools
Comfort with ambiguity, and ability to create structure where needed
Nice to Have
Experience in the machine learning or computer hardware industry
Demonstrated successful experience including working in a manufacturing environment with complex systems integration
Experience with large-scale distributed data center environments
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Jose or San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\nThe Operations team plays a critical role in ensuring the seamless end-to-end execution of our AI-IaaS infrastructure and hardware. This team is responsible for sourcing all necessary infrastructure and components, overseeing day-to-day data center operations to maintain optimal performance and uptime, and driving cross company coordination through product management organization to align operational capabilities with strategic goals. By managing the full lifecycle from procurement to deployment and operational efficiency, the Operations team ensures that our AI-driven infrastructure is reliable, scalable, and aligned with business priorities.\n\n\nWhat You’ll Do \n\n - Manage large scale deployments of GPU clusters in datacenter colocation around the country \n\n - Work closely with Data Center engineering and operations to ensure proper deployment of data center infrastructure requirements \n\n - Drive multiple simultaneous projects forward, assessing risks, and monitoring tasks.\n\n - Proactively manage dependencies and anticipate/resolve execution issues\n\n - Partner with a full spectrum of cross-functional stakeholder, including Product, Engineering and Operations – to help ensure that we are building the right thing, testing correctly, deploying on time and meeting stated SLAs for various programs\n\n - Manage communication of progress/status with internal stakeholders and customer groups in various locations and time zones \n\n - Interact with internal and external stakeholders at various levels concerning resolution of technical and scheduling issues\n\n - Build strong partnerships across Lambda and leverage credibility and technical acumen to drive process improvements and efficiencies \n\n - Contribute to the development of new business opportunities and expansion of existing business opportunities\n\nYou \n\n - Have 7+ years of experience in program/project management for complex product development programs \n\n - Have a thorough understanding of agile and waterfall management techniques \n\n - Poses a technical background, with demonstrated ability to engage on technical topics - typically demonstrated by an Engineering degree or equivalent technical experience\n\n - Have excellent leadership and organizational skills\n\n - Are a strong communicator, able to structure internal and external communication \n\n - Strong ability to humbly lead by influence and by example\n\n - Knowledge and expertise using various project management tools\n\n - Comfort with ambiguity, and ability to create structure where needed \n\nNice to Have \n\n - Experience in the machine learning or computer hardware industry\n\n - Demonstrated successful experience including working in a manufacturing environment with complex systems integration\n\n - Experience with large-scale distributed data center environments\n\nSalary Range Information \n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"$251K – $335K","scrapeableCompensationSalarySummary":"$251K - $335K","compensationTiers":[{"id":"bfd2b871-73a3-420d-bc26-de8e96895e4f","tierSummary":"$251K – $335K","title":null,"additionalInformation":null,"components":[{"id":"64e61bc4-2111-487a-955e-af9438d47925","summary":"$251K – $335K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":251000,"maxValue":335000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":251000,"maxValue":335000}]}},{"id":"5a4319bd-cd9d-4714-bb56-99765c0948d1","title":"Senior Site Reliability Engineer - Observability","department":"Data Center Business","team":"Platform Engineering","employmentType":"FullTime","location":"San Francisco Office (Fremont St)","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"San Jose Office (First St)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}},{"location":"San Jose Office (Zanker)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}},{"location":"Bellevue, WA","address":{"postalAddress":{"addressRegion":"Washington","addressCountry":"United States","addressLocality":"Seattle"}}}],"publishedAt":"2026-05-08T20:12:26.712+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/5a4319bd-cd9d-4714-bb56-99765c0948d1","applyUrl":"https://jobs.ashbyhq.com/lambda/5a4319bd-cd9d-4714-bb56-99765c0948d1/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Francisco, San Jose, or Bellevue WA office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.
What You’ll Do
Deploy and operate observability platforms for logging, metrics, and distributed tracing.
Automate the deployment and operation of these observability systems.
Set up monitoring for modern AI/HPC cluster infrastructure.
Develop platform software to make observability adoptable and improve product reliability.
Lead members of other engineering teams in development of solutions for their monitoring challenges.
You
Have 8+ years of experience in software engineering, with 3+ years in Go
Have 5+ years of experience in Site Reliability Engineering practices
Possess proven understanding of Observability tools and practices
Have experience with application deployment and monitoring using Kubernetes
Have strong experience with modern devops practices
Expect quality and reliability from the solutions you build
Enjoy collaborating across team boundaries to help our engineering teams meet their observability needs
Nice to Have
Experience with compute infrastructure monitoring or network monitoring
Experience with Prometheus and writing queries in PromQL
Experience with messaging systems like NATS
Understanding of the OpenTelemetry ecosystem and experience with both OTel instrumentation and the OTel collector
Experience with network monitoring for Ethernet and Infiniband
Understanding of dashboard design principles
Strong understanding of Linux fundamentals and system administration.
Experience with infrastructure automation tooling such as Ansible and Terraform
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n\n\n*Note: This position requires presence in our San Francisco, San Jose, or Bellevue WA office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\nEngineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.\n\n\n\nWhat You’ll Do\n\n - Deploy and operate observability platforms for logging, metrics, and distributed tracing.\n\n - Automate the deployment and operation of these observability systems.\n\n - Set up monitoring for modern AI/HPC cluster infrastructure.\n\n - Develop platform software to make observability adoptable and improve product reliability.\n\n - Lead members of other engineering teams in development of solutions for their monitoring challenges.\n\nYou\n\n - Have 8+ years of experience in software engineering, with 3+ years in Go\n\n - Have 5+ years of experience in Site Reliability Engineering practices\n\n - Possess proven understanding of Observability tools and practices\n\n - Have experience with application deployment and monitoring using Kubernetes\n\n - Have strong experience with modern devops practices\n\n - Expect quality and reliability from the solutions you build\n\n - Enjoy collaborating across team boundaries to help our engineering teams meet their observability needs\n\nNice to Have\n\n - Experience with compute infrastructure monitoring or network monitoring\n\n - Experience with Prometheus and writing queries in PromQL\n\n - Experience with messaging systems like NATS\n\n - Understanding of the OpenTelemetry ecosystem and experience with both OTel instrumentation and the OTel collector\n\n - Experience with network monitoring for Ethernet and Infiniband\n\n - Understanding of dashboard design principles\n\n - Strong understanding of Linux fundamentals and system administration.\n\n - Experience with infrastructure automation tooling such as Ansible and Terraform\n\n\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"$240K – $356K • Multiple Ranges","scrapeableCompensationSalarySummary":"$240K - $356K","compensationTiers":[{"id":"0dbc3ea6-5a1d-47e6-980b-eb378db79930","tierSummary":"$267K – $356K","title":"San Francisco / San Jose","additionalInformation":null,"components":[{"id":"56a3fd31-7e45-4014-bdd3-3ccac60b4284","summary":"$267K – $356K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":267000,"maxValue":356000}]},{"id":"b74184c5-e267-4ed3-a694-7bfa8b74b813","tierSummary":"$240K – $320K","title":"Bellevue","additionalInformation":null,"components":[{"id":"2e4c732e-bbdc-43af-812b-a36aad2cc955","summary":"$240K – $320K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":240000,"maxValue":320000}]}],"summaryComponents":[{"minValue":240000,"maxValue":356000,"currencyCode":"USD","interval":"1 YEAR","compensationType":"Salary"}]}},{"id":"bbf99974-b960-40cd-9353-179d9f3b375a","title":"Engineering Manager - Control Plane","department":"Data Center Business","team":"Core Cloud","employmentType":"FullTime","location":"San Francisco Office (Fremont St)","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-05-13T21:48:21.276+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/bbf99974-b960-40cd-9353-179d9f3b375a","applyUrl":"https://jobs.ashbyhq.com/lambda/bbf99974-b960-40cd-9353-179d9f3b375a/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.
What you’ll do
Lead the AI Cloud Core Platform team of ~6 engineers, with end-to-end ownership of Cloud Platform and governance capabilities.
Drive execution of roadmap features including cluster lifecycle automation.
Partner closely with Product and Design to ensure the user experience matches the needs of enterprise customers.
Balance rapid feature delivery with longer-term investments in scalability, observability, and platform design.
Hire, mentor, and grow a team of engineers, providing career development and feedback.
Collaborate with other Lambda teams (Control Plane, Billing, Platform) to ensure smooth, integrated delivery across the stack.
Contribute to a culture of high performance, documentation, humility, and curiosity.
Be product-focused in your leadership and execution, always placing the needs of the customer first, with a particular focus on feature velocity, reliability and security.
Shape a culture of sustainable, empathetic, and high-velocity engineering, with a deep focus on cross-team collaboration, documentation, and data-driven decision-making.
You
5+ years in a full-time management role at a high-growth technology company
10+ years of industry experience in software engineering, with a focus on large-scale distributed systems and backend systems.
Proven record of leading and building engineering teams that work on mission-critical, high performance systems.
Proven track record leading teams that deliver enterprise features or governance platforms.
Exceptional leadership skills that encompass leading by trust, building empathy with your reports and other teams, and maintaining a sustainable but rapid velocity.
Demonstrated expertise in managing long-term projects alongside urgent, short-term priorities and incident resolution.
Extensive experience collaborating with product, sales, and other engineering teams to build cohesive products with a focus on user experience and reliability.
Ability to understand, review and structure Python and Go applications.
Nice to Have
Experience with IAM, authentication/authorization (SSO, RBAC, SCIM), governance tooling, or compliance features.
Background building cloud application platforms.
Experience managing a remote, distributed team
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\nNote: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\n\nEngineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.\n\nWhat you’ll do\n\n - Lead the AI Cloud Core Platform team of ~6 engineers, with end-to-end ownership of Cloud Platform and governance capabilities.\n\n - Drive execution of roadmap features including cluster lifecycle automation.\n\n - Partner closely with Product and Design to ensure the user experience matches the needs of enterprise customers.\n\n - Balance rapid feature delivery with longer-term investments in scalability, observability, and platform design.\n\n - Hire, mentor, and grow a team of engineers, providing career development and feedback.\n\n - Collaborate with other Lambda teams (Control Plane, Billing, Platform) to ensure smooth, integrated delivery across the stack.\n\n - Contribute to a culture of high performance, documentation, humility, and curiosity.\n\n - Be product-focused in your leadership and execution, always placing the needs of the customer first, with a particular focus on feature velocity, reliability and security.\n\n - Shape a culture of sustainable, empathetic, and high-velocity engineering, with a deep focus on cross-team collaboration, documentation, and data-driven decision-making.\n\nYou\n\n - 5+ years in a full-time management role at a high-growth technology company\n\n - 10+ years of industry experience in software engineering, with a focus on large-scale distributed systems and backend systems.\n\n - Proven record of leading and building engineering teams that work on mission-critical, high performance systems.\n\n - Proven track record leading teams that deliver enterprise features or governance platforms.\n\n - Exceptional leadership skills that encompass leading by trust, building empathy with your reports and other teams, and maintaining a sustainable but rapid velocity.\n\n - Demonstrated expertise in managing long-term projects alongside urgent, short-term priorities and incident resolution.\n\n - Extensive experience collaborating with product, sales, and other engineering teams to build cohesive products with a focus on user experience and reliability.\n\n - Ability to understand, review and structure Python and Go applications.\n\nNice to Have\n\n - Experience with IAM, authentication/authorization (SSO, RBAC, SCIM), governance tooling, or compliance features.\n\n - Background building cloud application platforms.\n\n - Experience managing a remote, distributed team\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"$330K – $440K","scrapeableCompensationSalarySummary":"$330K - $440K","compensationTiers":[{"id":"169ac378-f4c5-473b-8d67-877fb5020aaf","tierSummary":"$330K – $440K","title":"San Francisco","additionalInformation":null,"components":[{"id":"6988c929-66e7-491d-8b5a-8b53bc524597","summary":"$330K – $440K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":330000,"maxValue":440000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":330000,"maxValue":440000}]}},{"id":"0ca9bb78-6d6b-4b71-8f77-762f0b16b959","title":"Security GRC Analyst","department":"G&A","team":"Compliance","employmentType":"FullTime","location":"San Francisco Office (Second St)","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2025-11-10T20:37:47.015+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/0ca9bb78-6d6b-4b71-8f77-762f0b16b959","applyUrl":"https://jobs.ashbyhq.com/lambda/0ca9bb78-6d6b-4b71-8f77-762f0b16b959/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
What You’ll Do
Validate and verify Lambda’s security controls and practices meet the requirements of ISO 27001, 27701, 27017, PCI, SOC 2, GDPR/CCPA and other relevant regulatory requirements to ensure alignment to business objectives
Assist in the update and maintenance of Lambda’s IT Risk Register across the full risk lifecycle: identification, assessment, treatment, tracking, and periodic review
Assist with and drive remediation of control deficiencies and gaps
Provide guidance to Control Owners in the planning, design, implementation, operation, maintenance & remediation of control activities and other supporting requirements (e.g. policies, standards, processes, system configurations, etc.)
Communicate with technical and non-technical stakeholders and leaders on cybersecurity risk and controls management topics and program-specific reporting
Assist with the third-party risk management assessment process, ensuring consistent enforcement of information security requirements
Assist control owners with root cause analysis and track risk management action plan progress
Create risk metrics for management regarding information security control maturity, compliance status, risks, performance and findings
You
Have a minimum of 5 years of experience supporting cybersecurity risk or controls management programs with in-depth knowledge and experience of cybersecurity frameworks including ISO 27001 and 27701, PCI-DSS, SOC, NIST CSF and other regulatory requirements
Have a working proficiency with at least one enterprise GRC or TPRM platform: AuditBoard, Vanta, OneTrust, Whistic or equivalent
Have familiarity with cloud security controls and compliance in AWS, GCP or Azure environments
Have experience collaborating closely with engineers, business teams, and security partners, including incident response, red teams, and architects to seamlessly incorporate cybersecurity controls and risk management processes into their day-to-day operations
Demonstrate the ability to take ownership of assigned program workstreams, execute against defined milestones, and proactively identify improvements to existing processes and controls
Hold a Bachelor’s degrees in Information Security, Computer Science or a related field; equivalent professional experience taken into consideration
Nice to Have
Experience in the AI infrastructure, machine learning and/or computer hardware industry
Experience with Security by Design and/or Privacy by Design principles
Experience with standard cyber controls frameworks, including CIS Controls v8, NIST Cyber Security Framework (CSF), NIST 800-53, NIST 800-171, Cybersecurity Maturity Model Certification (CMMC), ISO 27001 and 27701, and SOX ITGC control frameworks.
Broad knowledge of IT infrastructure and architecture of computer systems as well as exposure to a variety of platforms such as operating systems, networks and databases
Certified Information Systems Auditor (CISA)
Certified Information Security Manager (CISM)
Certified Information Systems Security Professional (CISSP)
Certified in Risk and Information Systems Control (CRISC)
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\nWhat You’ll Do\n\n - Validate and verify Lambda’s security controls and practices meet the requirements of ISO 27001, 27701, 27017, PCI, SOC 2, GDPR/CCPA and other relevant regulatory requirements to ensure alignment to business objectives\n\n - Assist in the update and maintenance of Lambda’s IT Risk Register across the full risk lifecycle: identification, assessment, treatment, tracking, and periodic review\n\n - Assist with and drive remediation of control deficiencies and gaps\n\n - Provide guidance to Control Owners in the planning, design, implementation, operation, maintenance & remediation of control activities and other supporting requirements (e.g. policies, standards, processes, system configurations, etc.)\n\n - Communicate with technical and non-technical stakeholders and leaders on cybersecurity risk and controls management topics and program-specific reporting\n\n - Assist with the third-party risk management assessment process, ensuring consistent enforcement of information security requirements\n\n - Assist control owners with root cause analysis and track risk management action plan progress\n\n - Create risk metrics for management regarding information security control maturity, compliance status, risks, performance and findings\n\n\n\nYou\n\n - Have a minimum of 5 years of experience supporting cybersecurity risk or controls management programs with in-depth knowledge and experience of cybersecurity frameworks including ISO 27001 and 27701, PCI-DSS, SOC, NIST CSF and other regulatory requirements\n\n - Have a working proficiency with at least one enterprise GRC or TPRM platform: AuditBoard, Vanta, OneTrust, Whistic or equivalent\n\n - Have familiarity with cloud security controls and compliance in AWS, GCP or Azure environments\n\n - Have experience collaborating closely with engineers, business teams, and security partners, including incident response, red teams, and architects to seamlessly incorporate cybersecurity controls and risk management processes into their day-to-day operations\n\n - Demonstrate the ability to take ownership of assigned program workstreams, execute against defined milestones, and proactively identify improvements to existing processes and controls\n\n - Hold a Bachelor’s degrees in Information Security, Computer Science or a related field; equivalent professional experience taken into consideration\n\nNice to Have\n\n - Experience in the AI infrastructure, machine learning and/or computer hardware industry\n\n - Experience with Security by Design and/or Privacy by Design principles\n\n - Experience with standard cyber controls frameworks, including CIS Controls v8, NIST Cyber Security Framework (CSF), NIST 800-53, NIST 800-171, Cybersecurity Maturity Model Certification (CMMC), ISO 27001 and 27701, and SOX ITGC control frameworks.\n\n - Broad knowledge of IT infrastructure and architecture of computer systems as well as exposure to a variety of platforms such as operating systems, networks and databases\n\n - Certified Information Systems Auditor (CISA)\n\n - Certified Information Security Manager (CISM)\n\n - Certified Information Systems Security Professional (CISSP)\n\n - Certified in Risk and Information Systems Control (CRISC)\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"$137K – $183K","scrapeableCompensationSalarySummary":"$137K - $183K","compensationTiers":[{"id":"ef5b2a19-933b-4259-971b-18d1cd4966e0","tierSummary":"$137K – $183K","title":null,"additionalInformation":null,"components":[{"id":"0c680ff9-41fd-4088-b671-050f2305ae35","summary":"$137K – $183K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":137000,"maxValue":183000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":137000,"maxValue":183000}]}},{"id":"2213fc81-aabe-4a96-b090-89a6594295dc","title":"Accounts Payable Accountant","department":"G&A","team":"Accounting","employmentType":"FullTime","location":"San Jose Office (First St)","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-04-15T20:48:05.746+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/2213fc81-aabe-4a96-b090-89a6594295dc","applyUrl":"https://jobs.ashbyhq.com/lambda/2213fc81-aabe-4a96-b090-89a6594295dc/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
What You’ll Do
Manage Accounts Payable and ensure a smooth Procure-to-Pay process
GL coding of vendor invoices, submit invoices for approval, weekly pay runs, vendor communication, month-end close, accruals, and reconciliations
Ensure invoices are entered accurately and completely, agree to vendor contract/terms, and correctly reflect the company's chart of accounts in the accounting system
Take advantage of discount terms when available
Produce a weekly AP Aging and analyze which payments should be made to vendors
Preparation and posting of payments, ensuring completeness and accuracy
Review vendor statements for missing or outstanding invoices
Correspond with vendors to resolve discrepancies and manage vendor inquiries
Create and manage vendors, maintain W9 database, and monitor the AP inbox
Review company credit card transactions for accuracy and employee compliance to T&E policies
Optimize AP procedures using Coupa as well as using AI in your day to day activities.
You
Have an Associates degree or Bachelor’s degree and 3+ years of Accounts Payable experience
Can follow established controls to safeguard company assets
Are analytical with strong conceptual and problem-solving skills
Are detail oriented with superb organizational skills
Can work in a fast paced environment and meet tight deadlines
Have excellent verbal and written communication skills
Have a strong proficiency with Excel and adaptability to new technology and tools such as AI
Have excellent project management skills
Experience with vendor relationship management
Are a self-starter who can take on new initiatives without being asked to do so
Provide support needed to achieve a timely month end close
Nice to Have
Netsuite, Salesforce, Coupa, Stripe, AI experience
Data center, cloud infrastructure, or hardware industry experience
pre-IPO, post-IPO experience, public company experience
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\n\nWhat You’ll Do\n\n - Manage Accounts Payable and ensure a smooth Procure-to-Pay process\n\n - GL coding of vendor invoices, submit invoices for approval, weekly pay runs, vendor communication, month-end close, accruals, and reconciliations\n\n - Ensure invoices are entered accurately and completely, agree to vendor contract/terms, and correctly reflect the company's chart of accounts in the accounting system\n\n - Take advantage of discount terms when available\n\n - Produce a weekly AP Aging and analyze which payments should be made to vendors\n\n - Preparation and posting of payments, ensuring completeness and accuracy\n\n - Review vendor statements for missing or outstanding invoices\n\n - Correspond with vendors to resolve discrepancies and manage vendor inquiries\n\n - Create and manage vendors, maintain W9 database, and monitor the AP inbox\n\n - Review company credit card transactions for accuracy and employee compliance to T&E policies\n\n - Optimize AP procedures using Coupa as well as using AI in your day to day activities.\n\nYou\n\n - Have an Associates degree or Bachelor’s degree and 3+ years of Accounts Payable experience\n\n - Can follow established controls to safeguard company assets\n\n - Are analytical with strong conceptual and problem-solving skills\n\n - Are detail oriented with superb organizational skills\n\n - Can work in a fast paced environment and meet tight deadlines\n\n - Have excellent verbal and written communication skills\n\n - Have a strong proficiency with Excel and adaptability to new technology and tools such as AI\n\n - Have excellent project management skills\n\n - Experience with vendor relationship management\n\n - Are a self-starter who can take on new initiatives without being asked to do so\n\n - Provide support needed to achieve a timely month end close\n\nNice to Have\n\n - Netsuite, Salesforce, Coupa, Stripe, AI experience\n\n - Data center, cloud infrastructure, or hardware industry experience\n\n - pre-IPO, post-IPO experience, public company experience\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"$94K – $125K","scrapeableCompensationSalarySummary":"$94K - $125K","compensationTiers":[{"id":"77072787-43e5-494c-a095-ea3d851cf998","tierSummary":"$94K – $125K","title":null,"additionalInformation":null,"components":[{"id":"eac4423d-8366-4752-a95b-11b430420221","summary":"$94K – $125K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":94000,"maxValue":125000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":94000,"maxValue":125000}]}},{"id":"d96f72bd-d78e-4a2b-9d9f-faa10b9ec883","title":"Software Engineer - Fleet","department":"Data Center Business","team":"Fleet Engineering","employmentType":"FullTime","location":"San Francisco Office (Fremont St)","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"San Jose Office (Zanker)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}},{"location":"Bellevue, WA","address":{"postalAddress":{"addressRegion":"Washington","addressCountry":"United States","addressLocality":"Seattle"}}}],"publishedAt":"2026-05-11T21:28:56.196+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/d96f72bd-d78e-4a2b-9d9f-faa10b9ec883","applyUrl":"https://jobs.ashbyhq.com/lambda/d96f72bd-d78e-4a2b-9d9f-faa10b9ec883/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Francisco/San Jose or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda cloud console, APIs, and systems, as well as internal tooling for system deployment, management, and maintenance.
What You’ll Do
Develop and Maintain Production Systems: Design, implement, and improve software that powers GPU fleet lifecycle management and machine configuration at scale.
Automate Infrastructure: Build and enhance automation frameworks for machine provisioning, configuration management, and deployment.
Support New Hardware Introduction (NPI): Enable bring-up, validation, and production readiness for new server and accelerator platforms.
Enhance Machine Lifecycle Processes: Improve and refine workflows for bare metal provisioning, firmware updates, and system health monitoring.
Debug Hardware and Firmware Issues: Investigate failures across BIOS, BMC, firmware, networking, storage, and boot flows.
Collaborate Across Teams: Work closely with infrastructure, security, and product engineering teams to develop scalable and maintainable solutions.
You
Have 2+ years of experience working with Go (Golang) or Python in production environments.
Have 2+ years of experience with configuration management tools and practices.
Are comfortable working in Linux environments and debugging issues at the OS, hardware, and networking layers.
Can independently troubleshoot complex systems and communicate effectively across software, infrastructure, and vendor teams.
Nice to Have
Experience with Go in infrastructure, systems, or backend development.
Hands-on experience with bare metal provisioning and lifecycle management, including technologies such as Redfish, BMC, IPMI, DHCP, and PXE.
Experience diagnosing issues involving drivers, firmware, and hardware compatibility across GPU servers.
Experience incorporating AI-assisted development tools into engineering workflows, including code generation, debugging, test development, and documentation.
Experience building Linux distributions or managing OS customization and imaging.
Familiarity with Ansible for system configuration and automation.
Exposure to Kubernetes and container orchestration concepts.
If you don’t meet all of these requirements but believe you may be a good fit, please still apply and provide a cover letter that helps us understand your experience and readiness for this role.
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n\n\n*Note: This position requires presence in our San Francisco/San Jose or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\n\nEngineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda cloud console, APIs, and systems, as well as internal tooling for system deployment, management, and maintenance.\n\nWhat You’ll Do\n\n - Develop and Maintain Production Systems: Design, implement, and improve software that powers GPU fleet lifecycle management and machine configuration at scale.\n\n - Automate Infrastructure: Build and enhance automation frameworks for machine provisioning, configuration management, and deployment.\n\n - Support New Hardware Introduction (NPI): Enable bring-up, validation, and production readiness for new server and accelerator platforms.\n\n - Enhance Machine Lifecycle Processes: Improve and refine workflows for bare metal provisioning, firmware updates, and system health monitoring.\n\n - Debug Hardware and Firmware Issues: Investigate failures across BIOS, BMC, firmware, networking, storage, and boot flows.\n\n - Collaborate Across Teams: Work closely with infrastructure, security, and product engineering teams to develop scalable and maintainable solutions.\n\nYou\n\n - Have 2+ years of experience working with Go (Golang) or Python in production environments.\n\n - Have 2+ years of experience with configuration management tools and practices.\n\n - Are comfortable working in Linux environments and debugging issues at the OS, hardware, and networking layers.\n\n - Can independently troubleshoot complex systems and communicate effectively across software, infrastructure, and vendor teams.\n\nNice to Have\n\n - Experience with Go in infrastructure, systems, or backend development.\n\n - Hands-on experience with bare metal provisioning and lifecycle management, including technologies such as Redfish, BMC, IPMI, DHCP, and PXE.\n\n - Experience diagnosing issues involving drivers, firmware, and hardware compatibility across GPU servers.\n\n - Experience incorporating AI-assisted development tools into engineering workflows, including code generation, debugging, test development, and documentation.\n\n - Experience building Linux distributions or managing OS customization and imaging.\n\n - Familiarity with Ansible for system configuration and automation.\n\n - Exposure to Kubernetes and container orchestration concepts.\n\n\n\nIf you don’t meet all of these requirements but believe you may be a good fit, please still apply and provide a cover letter that helps us understand your experience and readiness for this role.\n\n\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"$203K – $300K • Multiple Ranges","scrapeableCompensationSalarySummary":"$203K - $300K","compensationTiers":[{"id":"ff1844a1-f23c-4d85-98dd-9e98e3b2a78c","tierSummary":"$225K – $300K","title":"San Francisco / San Jose","additionalInformation":null,"components":[{"id":"00527813-7829-4d54-ad1b-68fe3ac15924","summary":"$225K – $300K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":225000,"maxValue":300000}]},{"id":"4b5d2b7b-d9f2-43e8-8e90-26653ce2883b","tierSummary":"$203K – $270K","title":"Bellevue","additionalInformation":null,"components":[{"id":"092876c8-d561-4a88-96bc-aced450fe474","summary":"$203K – $270K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":203000,"maxValue":270000}]}],"summaryComponents":[{"minValue":203000,"maxValue":300000,"currencyCode":"USD","interval":"1 YEAR","compensationType":"Salary"}]}},{"id":"0b24367a-59b6-4e1e-a9f4-7c23542536fa","title":"Network Engineer","department":"Data Center Business","team":"Fleet Engineering","employmentType":"FullTime","location":"San Francisco Office (Fremont St)","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"San Jose Office (Zanker)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}},{"location":"San Jose Office (First St)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}},{"location":"Bellevue, WA","address":{"postalAddress":{"addressRegion":"Washington","addressCountry":"United States","addressLocality":"Seattle"}}}],"publishedAt":"2026-04-28T21:40:32.800+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/0b24367a-59b6-4e1e-a9f4-7c23542536fa","applyUrl":"https://jobs.ashbyhq.com/lambda/0b24367a-59b6-4e1e-a9f4-7c23542536fa/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Francisco, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
What You’ll Do
Help to build and scale Lambda's high performance cloud network
Work on deploying and configuring networking Hardware for new and existing clusters
Ensure high availability of our network through monitoring, failover, and redundancy
Contribute to automation of network configuration management and operation
Work with internal and external customers to resolve network related issues
Help with deploying and maintaining network monitoring and management tools
Will be part of day2 operations and on-call rotation for Network Engineering team
You
Have 10+ years of experience in IT and networking space
Have 6+ years of experience in designing and operating production Data Center type of networks
Have led the implementation of large production-scale networking projects
Experience managing Next-Generation Firewalls (e.g. Fortigate)
Have experience with cloud providers networking (such as AWS, GCP, OCI)
Expert in CLOS/Spine and Leaf fabrics,EVPN/VXLAN, ECMP, BGP, and fast convergence techniques.
Are comfortable on the Linux command line, and have an understanding of the Linux networking stack and internals
Strong automation skills (Python, Ansible) and network APIs and worked with git or similar source control systems
Production experience with multiple network gear vendors (Arista, Juniper, Cisco, Cumulus/SONiC, Opengear)
Experience with Networking Monitoring stack (Datadog, Clickhouse, Grafana, Prometheus, gNMI, OTel)
Nice to Have
Have knowledge or experience maintaining Software Defined Networks (SDN)
Experience automating network configuration within public clouds, with tools like Terraform/Ansible/Salt
Hands-on with HPC/AI networking: RoCEv2 and/or InfiniBand (Congestion Control, VLs, partitions), GPUDirect RDMA concepts.
Experience with DWDM technologies and SD-WAN
Understanding of data center power/space/cooling trade-offs and their impact on topology choices
Have experience with virtualization technology, like ESXi, KVM, and VMs management
Experience with LoadBalancers like F5, NetScaler
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n\n\n*Note: This position requires presence in our San Francisco, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\n\nWhat You’ll Do\n\n - Help to build and scale Lambda's high performance cloud network\n\n - Work on deploying and configuring networking Hardware for new and existing clusters\n\n - Ensure high availability of our network through monitoring, failover, and redundancy\n\n - Contribute to automation of network configuration management and operation\n\n - Work with internal and external customers to resolve network related issues\n\n - Help with deploying and maintaining network monitoring and management tools\n\n - Will be part of day2 operations and on-call rotation for Network Engineering team\n\nYou\n\n - Have 10+ years of experience in IT and networking space\n\n - Have 6+ years of experience in designing and operating production Data Center type of networks\n\n - Have led the implementation of large production-scale networking projects\n\n - Experience managing Next-Generation Firewalls (e.g. Fortigate)\n\n - Have experience with cloud providers networking (such as AWS, GCP, OCI)\n\n - Expert in CLOS/Spine and Leaf fabrics,EVPN/VXLAN, ECMP, BGP, and fast convergence techniques.\n\n - Are comfortable on the Linux command line, and have an understanding of the Linux networking stack and internals\n\n - Strong automation skills (Python, Ansible) and network APIs and worked with git or similar source control systems\n\n - Production experience with multiple network gear vendors (Arista, Juniper, Cisco, Cumulus/SONiC, Opengear)\n\n - Experience with Networking Monitoring stack (Datadog, Clickhouse, Grafana, Prometheus, gNMI, OTel)\n\nNice to Have\n\n - Have knowledge or experience maintaining Software Defined Networks (SDN)\n\n - Experience automating network configuration within public clouds, with tools like Terraform/Ansible/Salt\n\n - Hands-on with HPC/AI networking: RoCEv2 and/or InfiniBand (Congestion Control, VLs, partitions), GPUDirect RDMA concepts.\n\n - Experience with DWDM technologies and SD-WAN\n\n - Understanding of data center power/space/cooling trade-offs and their impact on topology choices\n\n - Have experience with virtualization technology, like ESXi, KVM, and VMs management\n\n - Experience with LoadBalancers like F5, NetScaler\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"$250K – $370K • Multiple Ranges","scrapeableCompensationSalarySummary":"$250K - $370K","compensationTiers":[{"id":"d26324a4-eea6-459e-951f-d08d757110b0","tierSummary":"$278K – $370K","title":"San Francisco / San Jose","additionalInformation":null,"components":[{"id":"caa579ea-1828-468e-801c-fedb6901408d","summary":"$278K – $370K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":278000,"maxValue":370000}]},{"id":"c7dd8fd7-0bd7-46f4-98ef-fcaa1c3a8762","tierSummary":"$250K – $333K","title":"Bellevue","additionalInformation":null,"components":[{"id":"451bd2b3-eec8-44cb-8244-83fc7da0a784","summary":"$250K – $333K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":250000,"maxValue":333000}]}],"summaryComponents":[{"minValue":250000,"maxValue":370000,"currencyCode":"USD","interval":"1 YEAR","compensationType":"Salary"}]}},{"id":"b7d7c85b-6f62-4eed-8616-abab643fd17e","title":"Procurement & Operations Lead","department":"Data Center Business","team":"Supply Chain","employmentType":"FullTime","location":"San Jose Office (Zanker)","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-04-28T18:07:09.200+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/b7d7c85b-6f62-4eed-8616-abab643fd17e","applyUrl":"https://jobs.ashbyhq.com/lambda/b7d7c85b-6f62-4eed-8616-abab643fd17e/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
The Operations team plays a critical role in ensuring the seamless end-to-end execution of our AI-IaaS infrastructure and hardware. This team is responsible for sourcing all necessary infrastructure and components, overseeing day-to-day data center operations to maintain optimal performance and uptime, and driving cross company coordination through product management organization to align operational capabilities with strategic goals. By managing the full lifecycle from procurement to deployment and operational efficiency, the Operations team ensures that our AI-driven infrastructure is reliable, scalable, and aligned with business priorities.
What You’ll Do
Manage material planning and purchasing activities for key AI infrastructure components (Networking equipment).
Create, release, and manage Purchase Orders (POs) in accordance with sourcing strategies and forecasted demand.
Track open POs, confirm delivery schedules with suppliers, and proactively expedite or defer orders as needed.
Monitor inventory levels against forecast, demand changes, and supply lead times to ensure no disruption to build schedules.
Manage supplier communication related to order acknowledgments, shipment tracking, invoice discrepancies, and day-to-day issues.
Partner with Sourcing and Engineering teams to ensure material readiness for New Product Introduction (NPI) builds and mass production ramps.
Update ERP systems (e.g., NetSuite, SAP) with accurate order, receipt, and inventory status.
Flag material shortages, late shipments, and supply risks early, and work with internal teams to implement corrective actions.
Support regular reporting on material status, open order health, inventory coverage, and supply chain KPIs.
Who You Are
5+ years of experience in supply chain planning, purchasing, or operations support roles within networking hardware, technology, or manufacturing industries.
Strong working knowledge of material planning, inventory management, and supplier coordination practices.
Proficient in ERP systems (e.g., SAP, Oracle, NetSuite) and comfortable managing large volumes of purchase and inventory data.
Highly organized with excellent attention to detail — you thrive in fast-paced environments where priorities shift quickly.
Strong problem-solving skills and ability to anticipate supply chain risks before they impact operations.
Excellent communication skills to interface with suppliers, engineers, and cross-functional teams daily.
Bachelor’s degree in Supply Chain Management, Business, Operations, or a related field.
Nice to Have
Experience working in AI infrastructure, cloud hardware, or high-performance computing environments.
Familiarity with hardware lead time dynamics — e.g., GPUs, memory modules, networking switches, chassis builds.
Exposure to managing materials for projects involving liquid cooling infrastructure in data centers.
Understanding of Vendor Managed Inventory (VMI) programs or Consignment inventory practices.
Knowledge of basic cost tracking and invoice reconciliation processes.
APICS CPIM certification or similar supply chain professional certifications.
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\nThe Operations team plays a critical role in ensuring the seamless end-to-end execution of our AI-IaaS infrastructure and hardware. This team is responsible for sourcing all necessary infrastructure and components, overseeing day-to-day data center operations to maintain optimal performance and uptime, and driving cross company coordination through product management organization to align operational capabilities with strategic goals. By managing the full lifecycle from procurement to deployment and operational efficiency, the Operations team ensures that our AI-driven infrastructure is reliable, scalable, and aligned with business priorities.\n\nWhat You’ll Do\n\n - Manage material planning and purchasing activities for key AI infrastructure components (Networking equipment).\n\n - Create, release, and manage Purchase Orders (POs) in accordance with sourcing strategies and forecasted demand.\n\n - Track open POs, confirm delivery schedules with suppliers, and proactively expedite or defer orders as needed.\n\n - Monitor inventory levels against forecast, demand changes, and supply lead times to ensure no disruption to build schedules.\n\n - Manage supplier communication related to order acknowledgments, shipment tracking, invoice discrepancies, and day-to-day issues.\n\n - Partner with Sourcing and Engineering teams to ensure material readiness for New Product Introduction (NPI) builds and mass production ramps.\n\n - Update ERP systems (e.g., NetSuite, SAP) with accurate order, receipt, and inventory status.\n\n - Flag material shortages, late shipments, and supply risks early, and work with internal teams to implement corrective actions.\n\n - Support regular reporting on material status, open order health, inventory coverage, and supply chain KPIs.\n\nWho You Are\n\n - 5+ years of experience in supply chain planning, purchasing, or operations support roles within networking hardware, technology, or manufacturing industries.\n\n - Strong working knowledge of material planning, inventory management, and supplier coordination practices.\n\n - Proficient in ERP systems (e.g., SAP, Oracle, NetSuite) and comfortable managing large volumes of purchase and inventory data.\n\n - Highly organized with excellent attention to detail — you thrive in fast-paced environments where priorities shift quickly.\n\n - Strong problem-solving skills and ability to anticipate supply chain risks before they impact operations.\n\n - Excellent communication skills to interface with suppliers, engineers, and cross-functional teams daily.\n\n - Bachelor’s degree in Supply Chain Management, Business, Operations, or a related field.\n\nNice to Have\n\n - Experience working in AI infrastructure, cloud hardware, or high-performance computing environments.\n\n - Familiarity with hardware lead time dynamics — e.g., GPUs, memory modules, networking switches, chassis builds.\n Exposure to managing materials for projects involving liquid cooling infrastructure in data centers.\n\n - Understanding of Vendor Managed Inventory (VMI) programs or Consignment inventory practices.\n Knowledge of basic cost tracking and invoice reconciliation processes.\n\n - APICS CPIM certification or similar supply chain professional certifications.\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"$131K – $197K","scrapeableCompensationSalarySummary":"$131K - $197K","compensationTiers":[{"id":"6d34bc08-5f01-4798-9ef7-833c35e09eaf","tierSummary":"$131K – $197K","title":null,"additionalInformation":null,"components":[{"id":"92621a07-6f47-466e-abef-99cea0b6d3c7","summary":"$131K – $197K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":131000,"maxValue":197000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":131000,"maxValue":197000}]}},{"id":"11976cf8-9535-4654-a7ef-cf322bd5da91","title":"Staff Storage Engineer","department":"Data Center Business","team":"Infrastructure Engineering","employmentType":"FullTime","location":"San Francisco Office (Fremont St)","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"San Jose Office (Zanker)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}}],"publishedAt":"2026-06-01T16:05:09.579+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/11976cf8-9535-4654-a7ef-cf322bd5da91","applyUrl":"https://jobs.ashbyhq.com/lambda/11976cf8-9535-4654-a7ef-cf322bd5da91/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
Product Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.
For distributed AI workloads, GPU compute power is only one factor. High-performance networking and storage are essential for interconnecting these systems and supporting AI training and inference at scale.
Lambda’s Infrastructure Engineering team integrates advanced storage, networking, and compute hardware to build high-performance clusters.
Our expertise lies at the intersection of:
High-Performance Distributed Storage Solutions: We deploy and maintain the storage systems that provide customer training and inference datasets at the speeds demanded by modern clustered GPUs.
Software Defined Networking: We deploy software defined network overlays that provide multi-tenant security and intelligent routing without compromising performance, using the latest in high-performance networking hardware.
Compute Virtualization: We enable virtualization that allows AI researchers and engineers to focus on AI workloads, not AI infrastructure.
Cluster Integrity: We own the cluster integrity lifecycle: validating deployments, diagnosing performance and health across hardware and fabrics, and providing proactive remediation.
About the Role:
You will focus on strategy, architecture, and organizational influence
Strategic Selection: Lead the RFP process and drive evidence-based storage solution selection and vendor evaluations.
Workload Optimization: Develop an in-depth understanding of AI/ML workload profiles to influence future storage architecture and performance tuning.
Operational Strategy: Identify and lead high-impact operational improvements and cross-functional deployment plans.
Customer Discovery: Partner with leadership during deal formation to gather technical requirements and inform solution design.
Organizational Leadership: Delegate complex engineering tasks and maintain consistent, proactive communication with the engineering leadership team.
You Have:
8+ years of experience designing, building, and operating large-scale multi-petabyte storage production environments
A strong understanding of diverse storage solutions and their ecosystems:
Familiarity with one or more storage solutions of the following vendors: Vast, Weka, DDN, NetApp, PureStorage, Dell, IBM, HPE
File, Block, and Object storage types
Storage Network Access Protocols such as NFS, SMB, and POSIX-compliant protocols.
NVMEoverFabricStorage Transport Protocols: NVME/TCP, NVME/IB, or NVME/RoCE
Storage performance via RDMA, GPUDirect Storage, parallel file systems
Encryption, storage security, and multi-tenancy strategies
Storage data-reduction, compression, and encryption
Backup and data protection
5+ years of experience in Infrastructure as Code (e.g. Terraform, Ansible).
Nice to Have
Experience with Kubernetes, including CSI and COSI drivers and CNI’s
Deep understanding of storage performance
Strong understanding of public cloud features (e.g., SDN, block storage, distributed file systems, identity management)
Experience deploying, operating, and maintaining Software Defined Storage
Have implemented either open-source or commercial monitoring solutions of storage and storage-adjacent solutions
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n\n\n*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\n\nProduct Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.\n\nFor distributed AI workloads, GPU compute power is only one factor. High-performance networking and storage are essential for interconnecting these systems and supporting AI training and inference at scale.\n\nLambda’s Infrastructure Engineering team integrates advanced storage, networking, and compute hardware to build high-performance clusters.\n\nOur expertise lies at the intersection of:\n\n - High-Performance Distributed Storage Solutions: We deploy and maintain the storage systems that provide customer training and inference datasets at the speeds demanded by modern clustered GPUs.\n\n - Software Defined Networking: We deploy software defined network overlays that provide multi-tenant security and intelligent routing without compromising performance, using the latest in high-performance networking hardware.\n\n - Compute Virtualization: We enable virtualization that allows AI researchers and engineers to focus on AI workloads, not AI infrastructure.\n\n - Cluster Integrity: We own the cluster integrity lifecycle: validating deployments, diagnosing performance and health across hardware and fabrics, and providing proactive remediation.\n\nAbout the Role:\n\nYou will focus on strategy, architecture, and organizational influence\n\n - Strategic Selection: Lead the RFP process and drive evidence-based storage solution selection and vendor evaluations.\n\n - Workload Optimization: Develop an in-depth understanding of AI/ML workload profiles to influence future storage architecture and performance tuning.\n\n - Operational Strategy: Identify and lead high-impact operational improvements and cross-functional deployment plans.\n\n - Customer Discovery: Partner with leadership during deal formation to gather technical requirements and inform solution design.\n\n - Organizational Leadership: Delegate complex engineering tasks and maintain consistent, proactive communication with the engineering leadership team.\n\nYou Have:\n\n - 8+ years of experience designing, building, and operating large-scale multi-petabyte storage production environments\n\n - A strong understanding of diverse storage solutions and their ecosystems:\n \n - Familiarity with one or more storage solutions of the following vendors: Vast, Weka, DDN, NetApp, PureStorage, Dell, IBM, HPE\n \n - File, Block, and Object storage types\n \n - Storage Network Access Protocols such as NFS, SMB, and POSIX-compliant protocols.\n \n - NVMEoverFabricStorage Transport Protocols: NVME/TCP, NVME/IB, or NVME/RoCE\n \n - Storage performance via RDMA, GPUDirect Storage, parallel file systems\n \n - Encryption, storage security, and multi-tenancy strategies\n \n - Storage data-reduction, compression, and encryption\n \n - Backup and data protection\n\n - 5+ years of experience in Infrastructure as Code (e.g. Terraform, Ansible).\n\nNice to Have\n\n - Experience with Kubernetes, including CSI and COSI drivers and CNI’s\n\n - Deep understanding of storage performance\n\n - Strong understanding of public cloud features (e.g., SDN, block storage, distributed file systems, identity management)\n\n - Experience deploying, operating, and maintaining Software Defined Storage\n\n - Have implemented either open-source or commercial monitoring solutions of storage and storage-adjacent solutions\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"$349K – $465K","scrapeableCompensationSalarySummary":"$349K - $465K","compensationTiers":[{"id":"6e3e842e-5d98-42c7-86f4-18be283587f8","tierSummary":"$349K – $465K","title":null,"additionalInformation":null,"components":[{"id":"890dcb71-6cb3-42a8-845d-910d8923b198","summary":"$349K – $465K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":349000,"maxValue":465000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":349000,"maxValue":465000}]}},{"id":"bafe6266-7d4a-4ed1-bc50-03edfba10c97","title":"Senior Technical Program Manager - Product Engineering","department":"Data Center Business","team":"Program Operations","employmentType":"FullTime","location":"San Francisco Office (Fremont St)","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-03-03T17:11:13.510+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/bafe6266-7d4a-4ed1-bc50-03edfba10c97","applyUrl":"https://jobs.ashbyhq.com/lambda/bafe6266-7d4a-4ed1-bc50-03edfba10c97/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
What You’ll Do
Lead and manage large-scale, complex software development programs from initiation through delivery, ensuring timely, high-quality execution of roadmap commitments for the Lambda AI Cloud compute platform.
Define program scope, objectives, success criteria, and governance, translating product requirements and technical strategy into actionable work plans and milestones.
Possess a strong technical background to effectively engage with engineers on technical design decisions, architecture reviews, and sizing of deliverables for AI cloud services.
Proactively identify, assess, and manage risks, dependencies, and trade-offs, developing mitigation strategies and communicating impact clearly to leadership.
Serve as the primary interface for program communication, ensuring clear, consistent, and concise information flow between technical teams and executive stakeholders.
Serve as the primary interface for program communication, ensuring clear, consistent, and concise information flow between technical teams and executive stakeholders.
You
8+ years of experience in a technical program management and/or technical management role
Possess a deep understanding of software development life cycles, cloud infrastructure, and the unique challenges associated with delivering high-performance AI compute solutions.
Prior experience working on AI/ML infrastructure, GPU/accelerator platforms, or container orchestration technologies (e.g., Kubernetes).
Proven experience delivering large-scale cloud-based products or services, with a strong preference for experience in infrastructure, distributed systems, or high-performance computing (HPC)/AI/ML platforms.
Expert-level knowledge of software development life cycle (SDLC) methodologies and project management tools.
Nice to Have
Demonstrated ability to drive strategic decision-making in ambiguous technical domains.
Excellent analytical, problem-solving, and organizational skills, with the ability to manage multiple programs concurrently.
Experience operating in a rapidly scaling environment.
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\n\nWhat You’ll Do\n\n - Lead and manage large-scale, complex software development programs from initiation through delivery, ensuring timely, high-quality execution of roadmap commitments for the Lambda AI Cloud compute platform.\n\n - Define program scope, objectives, success criteria, and governance, translating product requirements and technical strategy into actionable work plans and milestones.\n\n - Possess a strong technical background to effectively engage with engineers on technical design decisions, architecture reviews, and sizing of deliverables for AI cloud services.\n\n - Proactively identify, assess, and manage risks, dependencies, and trade-offs, developing mitigation strategies and communicating impact clearly to leadership.\n\n - Serve as the primary interface for program communication, ensuring clear, consistent, and concise information flow between technical teams and executive stakeholders.\n\n - Serve as the primary interface for program communication, ensuring clear, consistent, and concise information flow between technical teams and executive stakeholders.\n\nYou\n\n - 8+ years of experience in a technical program management and/or technical management role\n\n - Possess a deep understanding of software development life cycles, cloud infrastructure, and the unique challenges associated with delivering high-performance AI compute solutions.\n\n - Prior experience working on AI/ML infrastructure, GPU/accelerator platforms, or container orchestration technologies (e.g., Kubernetes).\n\n - Proven experience delivering large-scale cloud-based products or services, with a strong preference for experience in infrastructure, distributed systems, or high-performance computing (HPC)/AI/ML platforms.\n\n - Expert-level knowledge of software development life cycle (SDLC) methodologies and project management tools.\n\nNice to Have\n\n - Demonstrated ability to drive strategic decision-making in ambiguous technical domains.\n\n - Excellent analytical, problem-solving, and organizational skills, with the ability to manage multiple programs concurrently.\n\n - Experience operating in a rapidly scaling environment.\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"$251K – $335K","scrapeableCompensationSalarySummary":"$251K - $335K","compensationTiers":[{"id":"3b684261-6c42-4ef5-8b68-36bcb7c84951","tierSummary":"$251K – $335K","title":null,"additionalInformation":null,"components":[{"id":"a91e7399-d9b3-4042-8d16-ed9faadaabac","summary":"$251K – $335K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":251000,"maxValue":335000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":251000,"maxValue":335000}]}},{"id":"cf395a28-87bd-4d44-891a-bbefa6958fe2","title":"Senior Manager, Technical Accounting & Financial Reporting","department":"G&A","team":"Accounting","employmentType":"FullTime","location":"San Jose Office (First St)","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-03-04T16:48:32.509+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/cf395a28-87bd-4d44-891a-bbefa6958fe2","applyUrl":"https://jobs.ashbyhq.com/lambda/cf395a28-87bd-4d44-891a-bbefa6958fe2/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
What You’ll Do
IPO & Financial Reporting
Lead or support S-1 preparation, including drafting and reviewing financial statements, MD&A, and footnotes in line with SEC and U.S. GAAP requirements
Partner with FP&A, Legal, and Investor Relations to ensure financial reporting aligns with the overall S-1 story
Work closely with auditors, valuation specialists, and legal counsel to support filing and audit readiness
Own the monthly, quarterly, and annual financial statements preparation process in compliance with the U.S. GAAP and SEC reporting requirements (10-K, 10-Q post-IPO)
Support non-GAAP reconciliations, key metrics reporting, and investor-facing disclosures
Technical Accounting & Policy Development
Prepare and maintain technical accounting memos to support audits and SEC review
Support SOX 404(a) readiness by improving documentation and strengthening key controls over financial reporting
Develop and update accounting policies and procedures to ensure compliance with U.S. GAAP
Process Improvement & Team Development
Support monthly, quarterly, and annual close to ensure consistent application of accounting policies
Partner with cross-functional teams to evaluate and document accounting impacts of new contracts and business initiatives
Improve accounting processes, strengthen controls, and drive automation where possible
Monitor new FASB guidance and recommend practical implementation approaches
Provide guidance to team members on technical accounting matters
Support ad-hoc projects and other accounting or reporting initiatives
You
10+ years of accounting experience, including 6+ years in technical accounting and financial reporting
Active CPA license
Strong U.S. GAAP knowledge and technical accounting research experience
5+ years at a Big 4 firm and/or high-growth technology company
Proficient in accounting systems (NetSuite preferred) and advanced Excel skills
Strong written and verbal communication skills, able to explain complex topics clearly
Highly organized with strong time management and attention to detail
Self-starter who can work independently and meet deadlines
Comfortable in a fast-paced, evolving environment
Curious, proactive, and eager to learn
Nice to Have
Experience supporting an S-1 filing and transition to public company reporting
Background in a national office or accounting advisory practice
Experience in a startup or high-growth technology environment
Familiarity with AI, SaaS/IaaS, or consumption-based business models
Strong knowledge of SEC reporting requirements (10-K, 10-Q, S-1)
Experience implementing new accounting standards
Experience with SOX readiness and public company controls
Proven ability to improve processes and support system implementations
Ability to simplify complex issues and build scalable solutions
Comfortable working independently in ambiguous, fast-paced settings
Proactive mindset with a track record of driving thoughtful improvements
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\n\nWhat You’ll Do\n\n - IPO & Financial Reporting\n \n - Lead or support S-1 preparation, including drafting and reviewing financial statements, MD&A, and footnotes in line with SEC and U.S. GAAP requirements\n \n - Partner with FP&A, Legal, and Investor Relations to ensure financial reporting aligns with the overall S-1 story\n \n - Work closely with auditors, valuation specialists, and legal counsel to support filing and audit readiness\n \n - Own the monthly, quarterly, and annual financial statements preparation process in compliance with the U.S. GAAP and SEC reporting requirements (10-K, 10-Q post-IPO)\n \n - Support non-GAAP reconciliations, key metrics reporting, and investor-facing disclosures\n\n - Technical Accounting & Policy Development\n \n - Prepare and maintain technical accounting memos to support audits and SEC review\n \n - Support SOX 404(a) readiness by improving documentation and strengthening key controls over financial reporting\n \n - Develop and update accounting policies and procedures to ensure compliance with U.S. GAAP\n\n - Process Improvement & Team Development\n \n - Support monthly, quarterly, and annual close to ensure consistent application of accounting policies\n \n - Partner with cross-functional teams to evaluate and document accounting impacts of new contracts and business initiatives\n \n - Improve accounting processes, strengthen controls, and drive automation where possible\n \n - Monitor new FASB guidance and recommend practical implementation approaches\n \n - Provide guidance to team members on technical accounting matters\n \n - Support ad-hoc projects and other accounting or reporting initiatives\n\nYou\n\n - 10+ years of accounting experience, including 6+ years in technical accounting and financial reporting\n\n - Active CPA license\n\n - Strong U.S. GAAP knowledge and technical accounting research experience\n\n - 5+ years at a Big 4 firm and/or high-growth technology company\n\n - Proficient in accounting systems (NetSuite preferred) and advanced Excel skills\n\n - Strong written and verbal communication skills, able to explain complex topics clearly\n\n - Highly organized with strong time management and attention to detail\n\n - Self-starter who can work independently and meet deadlines\n\n - Comfortable in a fast-paced, evolving environment\n\n - Curious, proactive, and eager to learn\n\nNice to Have\n\n - Experience supporting an S-1 filing and transition to public company reporting\n\n - Background in a national office or accounting advisory practice\n\n - Experience in a startup or high-growth technology environment\n\n - Familiarity with AI, SaaS/IaaS, or consumption-based business models\n\n - Strong knowledge of SEC reporting requirements (10-K, 10-Q, S-1)\n\n - Experience implementing new accounting standards\n\n - Experience with SOX readiness and public company controls\n\n - Proven ability to improve processes and support system implementations\n\n - Ability to simplify complex issues and build scalable solutions\n\n - Comfortable working independently in ambiguous, fast-paced settings\n\n - Proactive mindset with a track record of driving thoughtful improvements\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"$206K – $275K","scrapeableCompensationSalarySummary":"$206K - $275K","compensationTiers":[{"id":"d9893ed4-e81e-4ec8-9ff7-7ddedc67d02f","tierSummary":"$206K – $275K","title":null,"additionalInformation":null,"components":[{"id":"e8347ebc-b35e-402c-8b0c-e16b45fe8206","summary":"$206K – $275K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":206000,"maxValue":275000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":206000,"maxValue":275000}]}},{"id":"4605a295-8303-45be-9ba7-f26af3bae8cd","title":"Account CTO","department":"Data Center Business","team":"Sales Engineering","employmentType":"FullTime","location":"San Francisco Office (Second St)","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"San Jose Office (Zanker)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}},{"location":"Bellevue, WA","address":{"postalAddress":{"addressRegion":"Washington","addressCountry":"United States","addressLocality":"Seattle"}}}],"publishedAt":"2026-06-03T19:41:41.319+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/4605a295-8303-45be-9ba7-f26af3bae8cd","applyUrl":"https://jobs.ashbyhq.com/lambda/4605a295-8303-45be-9ba7-f26af3bae8cd/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.
What You’ll Do
Strategic Technology Leadership for Key Accounts
Serve as the primary technical liaison for Lambda's strategic Superintelligence accounts
Cultivate and sustain executive level technical relationships, establishing Lambda as a trusted technology partner and strategic advisor
Drive multi-year technology roadmaps aligned with customer business objectives and Lambda's product portfolio
Influence customer technology strategy and adoption at the executive level
Represent Lambda at executive briefings, board meetings, and strategic planning sessions
Own Technical Strategy and Business Outcomes
Partner with Global Account teams to drive strategic account growth and expansion
Lead architectural reviews and technology assessments at the enterprise level
Define and articulate business value propositions, ROI models, and TCO analyses for executive stakeholders
Orchestrate cross-functional teams including Solutions Engineers, Forward Deployed Engineers, Professional Services, and Product Management
Own technical escalations and serve as the Executive Technical Sponsor for critical customer initiatives
Drive adoption of Lambda's strategic initiatives within key accounts
Technology Vision and Thought Leadership
Establish yourself as a trusted advisor on AI/ML transformation and cloud strategy
Guide customers through digital transformation journeys and emerging technology adoption
Publish thought leadership content, speak at industry events, and represent Lambda in executive forums
Influence Lambda's product strategy based on strategic customer needs and market trends
Mentor and develop technical talent across the organization
You
Have 15+ years of experience designing, deploying and scaling cloud infrastructure
Have 6+ years of experience working directly with C-suite executives and senior leadership teams in advisory or consultative capacities
Have 5+ years driving cloud transformation initiatives at enterprise scale
Have proven track record of influencing C-suite executives and board-level stakeholders
Have deep expertise in AI/ML technologies and their business applications
Have experience with NVIDIA DGX/HGX/MGX systems, InfiniBand &RoCE networking, and large-scale GPU cluster deployments
Have experience with storage architectures including distributed file systems, object storage, high-performance parallel file systems, and NVMe-based solutions
Have hands-on experience with LLM training, fine-tuning, and inference at scale
Have experience with enterprise architecture frameworks and governance models
Have experience managing or influencing deals worth $1B+ annually
Have strong business acumen with ability to translate technology into business outcomes
Have experience navigating complex organizational dynamics and driving consensus
Have track record of building strategic partnerships and alliances
Excel at executive communication, presentation, and storytelling
Demonstrate thought leadership through publications, speaking engagements, or industry recognition
Nice to Have
MBA or advanced degree in Computer Science, Engineering, or related technical field
Experience as a CTO, VP of Engineering, Chief Architect, or Technical Fellow at a technology company with $100M+ revenue
Track record working with AI labs, research institutions, or frontier model companies
Board advisory experience for technology companies
Published peer-reviewed research, whitepapers, or patents specifically in distributed computing, GPU acceleration, or large-scale ML training infrastructure
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n\n\nEngineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.\n\n\n\nWhat You’ll Do\n\n - Strategic Technology Leadership for Key Accounts\n \n - Serve as the primary technical liaison for Lambda's strategic Superintelligence accounts\n \n - Cultivate and sustain executive level technical relationships, establishing Lambda as a trusted technology partner and strategic advisor\n \n - Drive multi-year technology roadmaps aligned with customer business objectives and Lambda's product portfolio\n \n - Influence customer technology strategy and adoption at the executive level\n \n - Represent Lambda at executive briefings, board meetings, and strategic planning sessions\n\n - Own Technical Strategy and Business Outcomes\n \n - Partner with Global Account teams to drive strategic account growth and expansion\n \n - Lead architectural reviews and technology assessments at the enterprise level\n \n - Define and articulate business value propositions, ROI models, and TCO analyses for executive stakeholders\n \n - Orchestrate cross-functional teams including Solutions Engineers, Forward Deployed Engineers, Professional Services, and Product Management\n \n - Own technical escalations and serve as the Executive Technical Sponsor for critical customer initiatives\n \n - Drive adoption of Lambda's strategic initiatives within key accounts\n\n - Technology Vision and Thought Leadership\n \n - Establish yourself as a trusted advisor on AI/ML transformation and cloud strategy\n \n - Guide customers through digital transformation journeys and emerging technology adoption\n \n - Publish thought leadership content, speak at industry events, and represent Lambda in executive forums\n \n - Influence Lambda's product strategy based on strategic customer needs and market trends\n \n - Mentor and develop technical talent across the organization\n\nYou\n\n - Have 15+ years of experience designing, deploying and scaling cloud infrastructure\n\n - Have 6+ years of experience working directly with C-suite executives and senior leadership teams in advisory or consultative capacities\n\n - Have 5+ years driving cloud transformation initiatives at enterprise scale\n\n - Have proven track record of influencing C-suite executives and board-level stakeholders\n\n - Have deep expertise in AI/ML technologies and their business applications\n\n - Have experience with NVIDIA DGX/HGX/MGX systems, InfiniBand &RoCE networking, and large-scale GPU cluster deployments\n\n - Have experience with storage architectures including distributed file systems, object storage, high-performance parallel file systems, and NVMe-based solutions\n\n - Have hands-on experience with LLM training, fine-tuning, and inference at scale\n\n - Have experience with enterprise architecture frameworks and governance models\n\n - Have experience managing or influencing deals worth $1B+ annually\n\n - Have strong business acumen with ability to translate technology into business outcomes\n\n - Have experience navigating complex organizational dynamics and driving consensus\n\n - Have track record of building strategic partnerships and alliances\n\n - Excel at executive communication, presentation, and storytelling\n\n - Demonstrate thought leadership through publications, speaking engagements, or industry recognition\n\nNice to Have\n\n - MBA or advanced degree in Computer Science, Engineering, or related technical field\n\n - Experience as a CTO, VP of Engineering, Chief Architect, or Technical Fellow at a technology company with $100M+ revenue\n\n - Track record working with AI labs, research institutions, or frontier model companies\n\n - Board advisory experience for technology companies\n\n - Published peer-reviewed research, whitepapers, or patents specifically in distributed computing, GPU acceleration, or large-scale ML training infrastructure\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"$271K – $425K • Multiple Ranges","scrapeableCompensationSalarySummary":"$271K - $425K","compensationTiers":[{"id":"80a363a0-bca0-4d6b-b556-0b4f0f9871a9","tierSummary":"$271K – $361K","title":"Remote","additionalInformation":null,"components":[{"id":"5b61bcbc-d685-4a01-b95e-218ba0d9b288","summary":"$271K – $361K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":271000,"maxValue":361000}]},{"id":"4dc15d50-8081-45bb-b975-09780598516e","tierSummary":"$319K – $425K","title":"San Francisco / San Jose","additionalInformation":null,"components":[{"id":"9131f6c3-fdf6-4ace-934d-f035991b44c9","summary":"$319K – $425K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":319000,"maxValue":425000}]},{"id":"3b297202-b97f-48b7-b76e-bc5e1a6114e1","tierSummary":"$287K – $383K","title":"Bellevue","additionalInformation":null,"components":[{"id":"828c972d-b98a-4029-b5c1-6511cc1fe3fe","summary":"$287K – $383K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":287000,"maxValue":383000}]}],"summaryComponents":[{"minValue":271000,"maxValue":425000,"currencyCode":"USD","interval":"1 YEAR","compensationType":"Salary"}]}},{"id":"e971621e-2a3d-4359-b349-9493007d517c","title":"Data Center Operations Systems Engineer (Kansas City, MO)","department":"Data Center Business","team":"Data Center Operations","employmentType":"FullTime","location":"Kansas City, MO - Data Center","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-03-20T20:41:12.250+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"Missouri","addressCountry":"United States","addressLocality":"Kansas City"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/e971621e-2a3d-4359-b349-9493007d517c","applyUrl":"https://jobs.ashbyhq.com/lambda/e971621e-2a3d-4359-b349-9493007d517c/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our Kansas City, MO Data Center 5 days per week, 7/24 shift coverage
What You'll Do
Ensure new server, storage and network infrastructure is properly racked, labeled, cabled, and configured.
Troubleshoot hardware and software issues in some of the world’s most advanced GPU and Networking systems.
Document and update data center layout and network topology in DCIM software
Work with supply chain & manufacturing teams to ensure timely deployment of systems and project plans for large-scale deployments
Manage a parts depot inventory and track equipment through the delivery-store-stage-deploy-handoff process in each of our data centers
Partner with HW Support teams to ensure data center hardware incidents with higher level troubleshooting challenges are resolved, reported on and solutions are disseminated to the large operations organization.
Work with RMA team to ensure faulty parts are returned and replacements are ordered
Follow installation standards and documentation for placement, labeling, and cabling to drive consistency and discoverability across all data centers
You
Have strong past experiences with critical infrastructure systems supporting data centers, such as power distribution, air flow management, environmental monitoring, capacity planning, DCIM software, structured cabling, and cable management
Be familiar with carrier DIA circuit test and turn ups, fiber testing and troubleshooting
Basic knowledge of cable optics and the different types of use
Solid understanding of single and three phase power theories
PDU balancing and why it is important
Familiar with multiple cable media types and their uses
Knowledge of cold isle and hot isle containment
Solid understanding of server hardware and boot process
Ability to structure, collaborate and iteratively improve on complex maintenance MOPs.
Working with product management, support, and other teams to align operational capabilities with company goals.
Translating business priorities into technical and operational requirements.
Supporting cross-functional projects where infrastructure plays a critical role.
Are action-oriented and willingness to train junior staff on best practices
Are willing to travel for bring up of new data center locations as needed
Nice to Have
Have 2+ years experience with critical infrastructure systems supporting data centers, such as power distribution, air flow management, environmental monitoring, capacity planning, DCIM software, structured cabling, and cable management
Experience with/or knowledge of network topology and configurations and 400gb Infiniband architectures.
Experience with/or knowledge of DDP or SCM cluster storage systems.
Have 3+ years working with and reporting from a ticketing systems like JIRA and Zendesk
Advanced experience with Linux administration
Experience with High Performance Compute GPU systems (air or water cooled) - especially Nvidia NVL72
Salary Range Information
This is a salaried non-exempt role, eligible for overtime. The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our Kansas City, MO Data Center 5 days per week, 7/24 shift coverage\n\n\n\nWhat You'll Do\n\n - Ensure new server, storage and network infrastructure is properly racked, labeled, cabled, and configured.\n\n - Troubleshoot hardware and software issues in some of the world’s most advanced GPU and Networking systems.\n\n - Document and update data center layout and network topology in DCIM software\n\n - Work with supply chain & manufacturing teams to ensure timely deployment of systems and project plans for large-scale deployments\n\n - Manage a parts depot inventory and track equipment through the delivery-store-stage-deploy-handoff process in each of our data centers\n\n - Partner with HW Support teams to ensure data center hardware incidents with higher level troubleshooting challenges are resolved, reported on and solutions are disseminated to the large operations organization.\n\n - Work with RMA team to ensure faulty parts are returned and replacements are ordered\n\n - Follow installation standards and documentation for placement, labeling, and cabling to drive consistency and discoverability across all data centers\n\nYou\n\n - Have strong past experiences with critical infrastructure systems supporting data centers, such as power distribution, air flow management, environmental monitoring, capacity planning, DCIM software, structured cabling, and cable management\n\n - Be familiar with carrier DIA circuit test and turn ups, fiber testing and troubleshooting\n\n - Basic knowledge of cable optics and the different types of use\n\n - Solid understanding of single and three phase power theories\n\n - PDU balancing and why it is important\n\n - Familiar with multiple cable media types and their uses\n\n - Knowledge of cold isle and hot isle containment\n\n - Solid understanding of server hardware and boot process\n\n - Ability to structure, collaborate and iteratively improve on complex maintenance MOPs.\n\n - Working with product management, support, and other teams to align operational capabilities with company goals.\n\n - Translating business priorities into technical and operational requirements.\n\n - Supporting cross-functional projects where infrastructure plays a critical role.\n\n - Are action-oriented and willingness to train junior staff on best practices\n\n - Are willing to travel for bring up of new data center locations as needed\n\nNice to Have\n\n - Have 2+ years experience with critical infrastructure systems supporting data centers, such as power distribution, air flow management, environmental monitoring, capacity planning, DCIM software, structured cabling, and cable management\n\n - Experience with/or knowledge of network topology and configurations and 400gb Infiniband architectures.\n\n - Experience with/or knowledge of DDP or SCM cluster storage systems.\n\n - Have 3+ years working with and reporting from a ticketing systems like JIRA and Zendesk\n\n - Advanced experience with Linux administration\n\n - Experience with High Performance Compute GPU systems (air or water cooled) - especially Nvidia NVL72\n\nSalary Range Information\n\nThis is a salaried non-exempt role, eligible for overtime. The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"$89K – $145K","scrapeableCompensationSalarySummary":"$89K - $145K","compensationTiers":[{"id":"1612e62f-4100-458d-bb56-da240155234a","tierSummary":"$89K – $145K","title":null,"additionalInformation":null,"components":[{"id":"8cec4423-521d-49c5-9a8b-cb1025578799","summary":"$89K – $145K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":89000,"maxValue":145000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":89000,"maxValue":145000}]}},{"id":"f12a5895-f97d-4583-8d67-ef66a9b30b39","title":"Account Director - Superintelligence","department":"Sales & Marketing","team":"Sales Operations","employmentType":"FullTime","location":"San Francisco Office (Second St)","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-04-01T17:23:45.979+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/f12a5895-f97d-4583-8d67-ef66a9b30b39","applyUrl":"https://jobs.ashbyhq.com/lambda/f12a5895-f97d-4583-8d67-ef66a9b30b39/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
As Account Director, you will be a trusted advisor to Lambda’s Superintelligence customers; you will be the primary Lambda point of contact for the customer’s executives, champions, and power users alike; and you will champion their needs inside Lambda. You will be measured based on customer uptime, sentiment, and retention; and you will balance your own direct contributions with project management of Lambda internal teams to deliver structure, accountability, and results. You will educate customers on the latest industry trends and best practices, ultimately helping customers’ infrastructure teams deliver for their customers while maximizing tokens per dollar per watt. You will understand the customer’s business goals, create demand plans, and help turn their AI strategy into flawless execution.
Key Responsibilities
For your assigned book of business, define and lead the overall account strategy for Lambda’s AI infrastructure platform, ensuring customers derive maximum value and achieve agreed upon measurable outcomes.
Serve as a trusted advisor. Build and deepen relationships across a broad range of stakeholders including end-users, decision-makers, and executives. Align on a joint success plan, including a roadmap for mission critical workloads and their associated compute demand plans.
Establish customer health metrics and target benchmarks (user adoption, utilization, support metrics, sentiment, retention, and expansion); create remediation plans where off track.
Drive customer onboarding and lifecycle processes - ensure seamless cluster deployment, adoption; understand and advocate for new feature requests as they present themselves.
Partner cross-functionally with Product, Engineering, Customer Experience, and Marketing to ensure exceptional value realization.
Lead quarterly business reviews (QBRs) and executive engagements with strategic accounts; articulate Lambda’s roadmap, manage expectations, and ensure alignment on mutual goals.
Advocate internally for customer needs, feature enhancements and best practices - act as a champion for the voice of the customer within Lambda.
Minimum Qualifications
10+ years of experience in Account Management, Customer Success, or equivalent, ideally within cloud infrastructure or AI/ML-focused companies.
Proven track-record driving customer retention and expansion at Enterprise scale.
Strong technical understanding of cloud infrastructure, GPU/AI workloads, developer workflows or related fields; able to engage with ML/AI researchers and engineering teams, yet translate outcomes into business value.
Excellent written/verbal communication skills, and comfort operating in executive forums; ability to de-escalate complex issues and maintain trusted advisor status with key stakeholders.
Process-oriented, metrics-driven, with a mindset of continuous improvement and ability to scale operations.
Strong leadership presence: able to build, influence, and lead cross-functional teams in a fast-paced environment.
Nice to have: background in AI hardware, GPU clusters, HPC, or large-scale cloud infrastructure.
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\n\nAs Account Director, you will be a trusted advisor to Lambda’s Superintelligence customers; you will be the primary Lambda point of contact for the customer’s executives, champions, and power users alike; and you will champion their needs inside Lambda. You will be measured based on customer uptime, sentiment, and retention; and you will balance your own direct contributions with project management of Lambda internal teams to deliver structure, accountability, and results. You will educate customers on the latest industry trends and best practices, ultimately helping customers’ infrastructure teams deliver for their customers while maximizing tokens per dollar per watt. You will understand the customer’s business goals, create demand plans, and help turn their AI strategy into flawless execution.\n\n\n\nKey Responsibilities\n\n - For your assigned book of business, define and lead the overall account strategy for Lambda’s AI infrastructure platform, ensuring customers derive maximum value and achieve agreed upon measurable outcomes.\n\n - Serve as a trusted advisor. Build and deepen relationships across a broad range of stakeholders including end-users, decision-makers, and executives. Align on a joint success plan, including a roadmap for mission critical workloads and their associated compute demand plans.\n\n - Establish customer health metrics and target benchmarks (user adoption, utilization, support metrics, sentiment, retention, and expansion); create remediation plans where off track.\n\n - Drive customer onboarding and lifecycle processes - ensure seamless cluster deployment, adoption; understand and advocate for new feature requests as they present themselves.\n\n - Partner cross-functionally with Product, Engineering, Customer Experience, and Marketing to ensure exceptional value realization.\n\n - Lead quarterly business reviews (QBRs) and executive engagements with strategic accounts; articulate Lambda’s roadmap, manage expectations, and ensure alignment on mutual goals.\n\n - Advocate internally for customer needs, feature enhancements and best practices - act as a champion for the voice of the customer within Lambda.\n\nMinimum Qualifications\n\n - 10+ years of experience in Account Management, Customer Success, or equivalent, ideally within cloud infrastructure or AI/ML-focused companies.\n\n - Proven track-record driving customer retention and expansion at Enterprise scale.\n\n - Strong technical understanding of cloud infrastructure, GPU/AI workloads, developer workflows or related fields; able to engage with ML/AI researchers and engineering teams, yet translate outcomes into business value.\n\n - Excellent written/verbal communication skills, and comfort operating in executive forums; ability to de-escalate complex issues and maintain trusted advisor status with key stakeholders.\n\n - Process-oriented, metrics-driven, with a mindset of continuous improvement and ability to scale operations.\n\n - Strong leadership presence: able to build, influence, and lead cross-functional teams in a fast-paced environment.\n\n - Nice to have: background in AI hardware, GPU clusters, HPC, or large-scale cloud infrastructure.\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"$345K – $460K","scrapeableCompensationSalarySummary":"$345K - $460K","compensationTiers":[{"id":"02d58c4a-8243-4538-bde8-11c9b6d7d11f","tierSummary":"$345K – $460K","title":null,"additionalInformation":null,"components":[{"id":"65e8e4af-1e7d-40c0-a603-6e98478496db","summary":"$345K – $460K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":345000,"maxValue":460000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":345000,"maxValue":460000}]}},{"id":"8714b844-7754-429a-a22f-2f849dbf9621","title":"Senior Storage Engineer","department":"Data Center Business","team":"Infrastructure Engineering","employmentType":"FullTime","location":"San Francisco Office (Fremont St)","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"San Jose Office (Zanker)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}}],"publishedAt":"2026-05-30T00:44:18.080+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/8714b844-7754-429a-a22f-2f849dbf9621","applyUrl":"https://jobs.ashbyhq.com/lambda/8714b844-7754-429a-a22f-2f849dbf9621/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
Product Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.
For distributed AI workloads, GPU compute power is only one factor. High-performance networking and storage are essential for interconnecting these systems and supporting AI training and inference at scale.
Lambda’s Infrastructure Engineering team integrates advanced storage, networking, and compute hardware to build high-performance clusters.
Our expertise lies at the intersection of:
High-Performance Distributed Storage Solutions: We deploy and maintain the storage systems that provide customer training and inference datasets at the speeds demanded by modern clustered GPUs.
Software Defined Networking: We deploy software defined network overlays that provide multi-tenant security and intelligent routing without compromising performance, using the latest in high-performance networking hardware.
Compute Virtualization: We enable virtualization that allows AI researchers and engineers to focus on AI workloads, not AI infrastructure.
Cluster Integrity: We own the cluster integrity lifecycle: validating deployments, diagnosing performance and health across hardware and fabrics, and providing proactive remediation.
About the Role:
You will focus on design, standards, and domain expertise
Validation Design: Author comprehensive performance and correctness validation plans for new storage tiers.
Standardization: Draft Standard Operating Procedures (SOPs) and alerting/monitoring frameworks to scale operations.
Security & Access: Own the access-control lifecycle for storage solutions, managing both vendor and customer permissions.
Strategic Partnerships: Lead technical communications with vendors and act as a subject matter expert (SME) for customer success and complex account assistance.
Leadership: Identify and act on signals for operational ownership; mentor junior engineers in specific storage sub-domains.
You Have:
8+ years of experience designing, building, and operating large-scale multi-petabyte storage production environments
A strong understanding of diverse storage solutions and their ecosystems:
Familiarity with one or more storage solutions of the following vendors: Vast, Weka, DDN, NetApp, PureStorage, Dell, IBM, HPE
File, Block, and Object storage types
Storage Network Access Protocols such as NFS, SMB, and POSIX-compliant protocols.
NVMEoverFabricStorage Transport Protocols: NVME/TCP, NVME/IB, or NVME/RoCE
Storage performance via RDMA, GPUDirect Storage, parallel file systems
Encryption, storage security, and multi-tenancy strategies
Storage data-reduction, compression, and encryption
Backup and data protection
5+ years of experience in Infrastructure as Code (e.g. Terraform, Ansible).
Nice to Have
Experience with Kubernetes, including CSI and COSI drivers and CNI’s
Deep understanding of storage performance
Strong understanding of public cloud features (e.g., SDN, block storage, distributed file systems, identity management)
Experience deploying, operating, and maintaining Software Defined Storage
Have implemented either open-source or commercial monitoring solutions of storage and storage-adjacent solutions
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n\n\n*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\n\nProduct Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.\n\nFor distributed AI workloads, GPU compute power is only one factor. High-performance networking and storage are essential for interconnecting these systems and supporting AI training and inference at scale.\n\nLambda’s Infrastructure Engineering team integrates advanced storage, networking, and compute hardware to build high-performance clusters.\n\nOur expertise lies at the intersection of:\n\n - High-Performance Distributed Storage Solutions: We deploy and maintain the storage systems that provide customer training and inference datasets at the speeds demanded by modern clustered GPUs.\n\n - Software Defined Networking: We deploy software defined network overlays that provide multi-tenant security and intelligent routing without compromising performance, using the latest in high-performance networking hardware.\n\n - Compute Virtualization: We enable virtualization that allows AI researchers and engineers to focus on AI workloads, not AI infrastructure.\n\n - Cluster Integrity: We own the cluster integrity lifecycle: validating deployments, diagnosing performance and health across hardware and fabrics, and providing proactive remediation.\n\nAbout the Role:\n\nYou will focus on design, standards, and domain expertise\n\n - Validation Design: Author comprehensive performance and correctness validation plans for new storage tiers.\n\n - Standardization: Draft Standard Operating Procedures (SOPs) and alerting/monitoring frameworks to scale operations.\n\n - Security & Access: Own the access-control lifecycle for storage solutions, managing both vendor and customer permissions.\n\n - Strategic Partnerships: Lead technical communications with vendors and act as a subject matter expert (SME) for customer success and complex account assistance.\n\n - Leadership: Identify and act on signals for operational ownership; mentor junior engineers in specific storage sub-domains.\n\nYou Have:\n\n - 8+ years of experience designing, building, and operating large-scale multi-petabyte storage production environments\n\n - A strong understanding of diverse storage solutions and their ecosystems:\n \n - Familiarity with one or more storage solutions of the following vendors: Vast, Weka, DDN, NetApp, PureStorage, Dell, IBM, HPE\n \n - File, Block, and Object storage types\n \n - Storage Network Access Protocols such as NFS, SMB, and POSIX-compliant protocols.\n \n - NVMEoverFabricStorage Transport Protocols: NVME/TCP, NVME/IB, or NVME/RoCE\n \n - Storage performance via RDMA, GPUDirect Storage, parallel file systems\n \n - Encryption, storage security, and multi-tenancy strategies\n \n - Storage data-reduction, compression, and encryption\n \n - Backup and data protection\n\n - 5+ years of experience in Infrastructure as Code (e.g. Terraform, Ansible).\n\nNice to Have\n\n - Experience with Kubernetes, including CSI and COSI drivers and CNI’s\n\n - Deep understanding of storage performance\n\n - Strong understanding of public cloud features (e.g., SDN, block storage, distributed file systems, identity management)\n\n - Experience deploying, operating, and maintaining Software Defined Storage\n\n - Have implemented either open-source or commercial monitoring solutions of storage and storage-adjacent solutions\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"$296K – $395K","scrapeableCompensationSalarySummary":"$296K - $395K","compensationTiers":[{"id":"b041c912-bf42-4bf5-b69c-eae8e36d1b49","tierSummary":"$296K – $395K","title":null,"additionalInformation":null,"components":[{"id":"858f4bcc-1690-4680-ae62-7fa67d749d87","summary":"$296K – $395K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":296000,"maxValue":395000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":296000,"maxValue":395000}]}},{"id":"b6d72a53-6a41-44b9-8e7e-383be950dba6","title":"Senior Software Engineer - API Experience","department":"Data Center Business","team":"Core Cloud","employmentType":"FullTime","location":"San Francisco Office (Fremont St)","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"San Jose Office (Zanker)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}},{"location":"Bellevue, WA","address":{"postalAddress":{"addressRegion":"Washington","addressCountry":"United States","addressLocality":"Seattle"}}}],"publishedAt":"2026-03-24T19:18:53.853+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/b6d72a53-6a41-44b9-8e7e-383be950dba6","applyUrl":"https://jobs.ashbyhq.com/lambda/b6d72a53-6a41-44b9-8e7e-383be950dba6/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Francisco, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
What The Role is About
The API Experience team is responsible for Lambda’s customer-facing Core Cloud APIs — everything from creating a new instance or attaching storage to managing VPCs. We deliver a delightful, consistent, and cohesive API-first experience to all our customers, from self-serve Public Cloud users to the largest, most demanding AI companies on the planet.
What You’ll Do
Build end-to-end features for Lambda Cloud.
Contribute to both frontend and backend code across existing and new features.
Collaborate with Product Engineering, Platform, and Infrastructure teams to deliver solutions that cut across the stack.
Partner with Product Managers to design, scope, and deliver features that are critical to customer success, without compromising on our product quality.
Work directly with Superintelligence customers’ engineering teams.
Own production features and systems, including participating in incident response rotations.
Design and implement observability and maintenance processes for the new features we build.
You
Backend experience building business-critical services using Python, Unix/Command line, Django or FastAPI, and Postgres.
Proven experience owning complex features end-to-end, from defining problems with Product to GA release and measuring success criteria, in highly ambiguous environments under tight deadlines.
Proven ability to clearly communicate trade offs in scoping and timelines.
Experience designing, implementing, and maintaining developer-facing APIs and documentation.
Additional Core Experience
CI/CD: Automation for testing and deployment workflows
Reliability & Observability: Logging, alerting, and building highly available systems
Cloud Native Services: Experience with AWS, Okta, Cloudflare, etc.
Nice-to-Haves
Experience with Kubernetes
Infrastructure as Code (e.g.,Terraform, Atlantis, Crossplane)
Experience in ML, AI, or data science
Application security and web hardening
Engineering leadership or mentorship experience
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Francisco, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\nWhat The Role is About\n\nThe API Experience team is responsible for Lambda’s customer-facing Core Cloud APIs — everything from creating a new instance or attaching storage to managing VPCs. We deliver a delightful, consistent, and cohesive API-first experience to all our customers, from self-serve Public Cloud users to the largest, most demanding AI companies on the planet.\n\n\n\nWhat You’ll Do\n\n - Build end-to-end features for Lambda Cloud.\n\n - Contribute to both frontend and backend code across existing and new features.\n\n - Collaborate with Product Engineering, Platform, and Infrastructure teams to deliver solutions that cut across the stack.\n\n - Partner with Product Managers to design, scope, and deliver features that are critical to customer success, without compromising on our product quality.\n\n - Work directly with Superintelligence customers’ engineering teams.\n\n - Own production features and systems, including participating in incident response rotations.\n\n - Design and implement observability and maintenance processes for the new features we build.\n \n \n\nYou\n\n - Backend experience building business-critical services using Python, Unix/Command line, Django or FastAPI, and Postgres.\n\n - Proven experience owning complex features end-to-end, from defining problems with Product to GA release and measuring success criteria, in highly ambiguous environments under tight deadlines.\n\n - Proven ability to clearly communicate trade offs in scoping and timelines.\n\n - Experience designing, implementing, and maintaining developer-facing APIs and documentation.\n \n \n\nAdditional Core Experience\n\n - CI/CD: Automation for testing and deployment workflows\n\n - Reliability & Observability: Logging, alerting, and building highly available systems\n\n - Cloud Native Services: Experience with AWS, Okta, Cloudflare, etc.\n \n \n\nNice-to-Haves\n\n - Experience with Kubernetes\n\n - Infrastructure as Code (e.g.,Terraform, Atlantis, Crossplane)\n\n - Experience in ML, AI, or data science\n\n - Application security and web hardening\n\n - Engineering leadership or mentorship experience\n \n \n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"$266K – $395K • Multiple Ranges","scrapeableCompensationSalarySummary":"$266K - $395K","compensationTiers":[{"id":"dfd1aa71-6028-40cf-b9b1-299e059f5d04","tierSummary":"$296K – $395K","title":"San Jose/San Francisco","additionalInformation":null,"components":[{"id":"b0263629-6408-485d-86a4-ba32dcea7f3b","summary":"$296K – $395K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":296000,"maxValue":395000}]},{"id":"fff7a4d0-ecff-4c78-bb01-fb90217c1fca","tierSummary":"$266K – $356K","title":"Bellevue","additionalInformation":null,"components":[{"id":"02bd730a-ad9c-43e5-ba3d-fc0cac40a22e","summary":"$266K – $356K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":266000,"maxValue":356000}]}],"summaryComponents":[{"minValue":266000,"maxValue":395000,"currencyCode":"USD","interval":"1 YEAR","compensationType":"Salary"}]}},{"id":"e301d6a4-b43d-4464-aba6-e7020ab265f3","title":"Workplace Assistant","department":"G&A","team":"Real Estate","employmentType":"FullTime","location":"San Francisco Office (Fremont St)","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-05-06T16:36:44.896+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/e301d6a4-b43d-4464-aba6-e7020ab265f3","applyUrl":"https://jobs.ashbyhq.com/lambda/e301d6a4-b43d-4464-aba6-e7020ab265f3/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Francisco office location 5 days per week
The Workplace Assistant position will be a part of the Workplace team and will be working in our San Francisco office. The Workplace Assistant will be the first point of contact in the San Francisco office for employees, visitors, customers, and vendors. This role will also monitor entry into our space, provide assistance to those who arrive, and create a welcoming environment into the workplace. The Workplace Assistant will also contribute to the smooth and efficient operation of the office by ensuring common areas and meeting spaces are kept neat and clean, completing workplace requests from employees, and finishing assigned tasks to support our operational workflows.
What You’ll Do
Be present in the office, Monday through Friday from 8:30am - 5:00pm PT
Greet employees, visitors, customers, and vendors, making them feel welcome and comfortable
Manage the intercom system and the visitor registration system
Assist with workplace safety, security, and office access
Support employees and be point of contact for the office
Manage lunch services
Maintain and manage conference rooms, phone rooms, kitchen, and copy areas
Restock and track office supplies, snacks, and beverages
Stay on top of upcoming onsite meetings, including understanding the attendee list, their specific needs, and preparing the space for the meeting
Keep the office tidy, clean, stocked, and organized
Process and distribute incoming mail and packages
Assist with answering workplace tickets in a kind and timely manner
Work with IT on equipment requests
Work with property management for visitor access and building maintenance requests
Manage onsite vendors
Create a positive workplace experience and environment for employees, visitors, customers and vendors
Partner with the Workplace team to produce thoughtful and inclusive office experiences and events
Support and provide back-up for the Workplace team
Assist with ad-hoc projects when time allows
You
Genuine passion for supporting others and possesses a positive attitude
Capable of anticipating others' needs and act with patience, kindness, and firmness
Excellent written, non-verbal, and verbal communication skills
Ability to work well with various personality types and are receptive to feedback, while also maintaining a high degree of professionalism and confidentiality
Ability to learn software quickly
Excellent organization, planning, and prioritization skills
Exceptionally strong ownership and can-do attitude with an operational mindset
Comfortable working autonomously, juggling multiple tasks under tight deadlines, switching gears at the drop of a hat, and having a “no task too small” mentality
Willingness to jump in where needed, picking up projects and checking things off lists even when it lands on your plate unexpectedly
An eye for detail with regards to all things from process to projects to space to events
Ability to maintain a professional and kind game face even when things aren’t going as planned or desire
A propensity for problem solving quickly and quietly
Nice to Have
Experience working in facilities, workplace operations, office administration, or hospitality
Proficiency with G-Suite Products
Mental/Physical Qualifications
Must be able to lift 25 pounds
Salary Range Information
This is an hourly role, eligible for overtime. The hourly rate for this position has been set based on market data and other factors. However, a hourly rate higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n\n*Note: This position requires presence in our San Francisco office location 5 days per week\n\nThe Workplace Assistant position will be a part of the Workplace team and will be working in our San Francisco office. The Workplace Assistant will be the first point of contact in the San Francisco office for employees, visitors, customers, and vendors. This role will also monitor entry into our space, provide assistance to those who arrive, and create a welcoming environment into the workplace. The Workplace Assistant will also contribute to the smooth and efficient operation of the office by ensuring common areas and meeting spaces are kept neat and clean, completing workplace requests from employees, and finishing assigned tasks to support our operational workflows.\n\nWhat You’ll Do\n\n - Be present in the office, Monday through Friday from 8:30am - 5:00pm PT\n\n - Greet employees, visitors, customers, and vendors, making them feel welcome and comfortable\n\n - Manage the intercom system and the visitor registration system\n\n - Assist with workplace safety, security, and office access\n\n - Support employees and be point of contact for the office\n\n - Manage lunch services\n\n - Maintain and manage conference rooms, phone rooms, kitchen, and copy areas\n\n - Restock and track office supplies, snacks, and beverages\n\n - Stay on top of upcoming onsite meetings, including understanding the attendee list, their specific needs, and preparing the space for the meeting\n\n - Keep the office tidy, clean, stocked, and organized\n\n - Process and distribute incoming mail and packages\n\n - Assist with answering workplace tickets in a kind and timely manner\n\n - Work with IT on equipment requests\n\n - Work with property management for visitor access and building maintenance requests\n\n - Manage onsite vendors\n\n - Create a positive workplace experience and environment for employees, visitors, customers and vendors\n\n - Partner with the Workplace team to produce thoughtful and inclusive office experiences and events\n\n - Support and provide back-up for the Workplace team\n\n - Assist with ad-hoc projects when time allows\n\nYou\n\n - Genuine passion for supporting others and possesses a positive attitude\n\n - Capable of anticipating others' needs and act with patience, kindness, and firmness\n\n - Excellent written, non-verbal, and verbal communication skills\n\n - Ability to work well with various personality types and are receptive to feedback, while also maintaining a high degree of professionalism and confidentiality\n\n - Ability to learn software quickly\n\n - Excellent organization, planning, and prioritization skills\n\n - Exceptionally strong ownership and can-do attitude with an operational mindset\n\n - Comfortable working autonomously, juggling multiple tasks under tight deadlines, switching gears at the drop of a hat, and having a “no task too small” mentality\n\n - Willingness to jump in where needed, picking up projects and checking things off lists even when it lands on your plate unexpectedly\n\n - An eye for detail with regards to all things from process to projects to space to events\n\n - Ability to maintain a professional and kind game face even when things aren’t going as planned or desire\n\n - A propensity for problem solving quickly and quietly\n\nNice to Have\n\n - Experience working in facilities, workplace operations, office administration, or hospitality\n\n - Proficiency with G-Suite Products\n\nMental/Physical Qualifications\n\n - Must be able to lift 25 pounds\n\nSalary Range Information\n\nThis is an hourly role, eligible for overtime. The hourly rate for this position has been set based on market data and other factors. However, a hourly rate higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"$38 – $50 per hour","scrapeableCompensationSalarySummary":null,"compensationTiers":[{"id":"9e8450b7-2212-4e4c-a6e3-6a0d7a432671","tierSummary":"$38 – $50 per hour","title":null,"additionalInformation":null,"components":[{"id":"ea03217b-7fe6-4f35-8598-2b62bafb8140","summary":"$38 – $50 per hour","compensationType":"Salary","interval":"1 HOUR","currencyCode":"USD","minValue":38,"maxValue":50}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 HOUR","currencyCode":"USD","minValue":38,"maxValue":50}]}},{"id":"20bf80b6-6677-4a06-b696-672c49bee0ed","title":"Accounting Manager - Fixed Assets and Leases","department":"G&A","team":"Accounting","employmentType":"FullTime","location":"San Jose Office (First St)","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"San Francisco Office (Fremont St)","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}}}],"publishedAt":"2026-04-15T20:48:22.188+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/20bf80b6-6677-4a06-b696-672c49bee0ed","applyUrl":"https://jobs.ashbyhq.com/lambda/20bf80b6-6677-4a06-b696-672c49bee0ed/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires flexible presence in both our San Francisco and San Jose offices, a total of 4 days per week; Lambda’s designated work from home day is currently Tuesday.
We are seeking an experienced Fixed Asset & Lease Accounting Manager to lead the accounting, controls, and reporting for our capital asset and lease portfolios in a highly capital-intensive infrastructure environment.
The company maintains over $1.5B in fixed assets placed into service, more than $200M in Construction in Progress (CIP), and $500M+ in operating Right-of-Use (ROU) assets related to data center leases across 15+ locations in the U.S. and internationally. The majority of our fixed assets consist of GPU compute infrastructure, along with associated racks, cabling, and supporting data center equipment.
This role will own the full lifecycle of fixed assets and leases—from capitalization policy and CIP monitoring to depreciation, lease accounting under ASC 842, asset disposals, and audit support. The ideal candidate brings strong technical accounting expertise, operational rigor, and the ability to partner cross-functionally with infrastructure, procurement, and legal teams in a rapidly scaling environment.
Key Responsibilities
Fixed Asset Accounting & Controls
Manage accounting and reporting for $1.5B+ in fixed assets including GPU infrastructure, racks, cabling, and related equipment.
Oversee asset capitalization, classification, and useful life determinations in accordance with U.S. GAAP.
Review and approve asset additions, transfers, disposals, and retirements.
Ensure accurate depreciation calculations and reconciliation of the fixed asset subledger to the general ledger.
Maintain and continuously improve capitalization policies and internal controls.
Construction in Progress (CIP) Management
Oversee accounting for $200M+ in CIP related to GPU infrastructure deployments and data center buildouts.
Track asset commissioning and ensure timely capitalization once assets are placed into service.
Partner with engineering, infrastructure, and procurement teams to validate deployment milestones and cost allocations.
Monitor CIP aging and ensure appropriate classification and capitalization timing.
Lease Accounting (ASC 842)
Manage accounting and reporting for $500M+ in Right-of-Use (ROU) assets related to data center leases across 15+ locations.
Ensure compliance with ASC 842 including lease classification, ROU asset and liability calculations, and ongoing lease reassessments.
Abstract lease agreements and identify embedded leases where applicable.
Coordinate with technical accounting for lease modifications, renewals, and terminations.
Maintain lease accounting schedules and support financial reporting disclosures.
Financial Reporting & Audit Support
Prepare fixed asset and lease accounting schedules for monthly, quarterly, and annual close.
Support internal and external audit processes by providing documentation, reconciliations, and analysis.
Assist with financial statement disclosures related to fixed assets, depreciation, and leases.
Partner with tax and finance teams on asset-related reporting requirements.
Asset Lifecycle & Operational Partnership
Collaborate with infrastructure, operations, and procurement teams to ensure accurate tracking of high-value GPU assets.
Support processes for asset tagging, inventory tracking, and periodic physical verification of assets.
Oversee asset retirement and decommissioning processes for technology equipment.
Process Improvement & Systems
Evaluate and enhance fixed asset and lease accounting systems and workflows to support rapid growth.
Drive automation and integration between ERP (NetSuite), procurement systems, and asset tracking tools.
Develop scalable processes to manage high volumes of infrastructure assets
Qualifications
Required
Bachelor’s degree in Accounting or Finance.
7+ years of accounting experience with significant exposure to fixed asset and lease accounting.
Experience managing large-scale fixed asset and lease portfolios ($2B+ preferred).
Strong understanding of U.S. GAAP fixed asset accounting and ASC 842 lease accounting.
Experience managing Construction in Progress (CIP) and capital project accounting.
Proficiency with ERP systems and fixed asset management modules.
Strong analytical, organizational, and process improvement skills.
Preferred
CPA with public accounting experience.
Experience in data center, cloud infrastructure, technology hardware, telecom, or other capital-intensive industries.
Experience accounting for technology infrastructure assets such as servers, GPUs, or networking equipment.
Experience with global operations and multi-location lease portfolios.
Experience implementing or optimizing fixed asset or lease accounting systems.
Forward-thinker in embracing and implementing AI tools as part of foundational accounting processes.
Key Competencies
Technical accounting expertise (fixed assets and leases)
Strong internal controls mindset
Ability to manage complex, high-value asset portfolios
Cross-functional collaboration with operational teams
Detail-oriented with strong analytical capability
Ability to operate effectively in a fast-growing environment
Forward-thinker in embracing and implementing AI tools as part of foundation accounting processes.
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires flexible presence in both our San Francisco and San Jose offices, a total of 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\n\nWe are seeking an experienced Fixed Asset & Lease Accounting Manager to lead the accounting, controls, and reporting for our capital asset and lease portfolios in a highly capital-intensive infrastructure environment.\n\nThe company maintains over $1.5B in fixed assets placed into service, more than $200M in Construction in Progress (CIP), and $500M+ in operating Right-of-Use (ROU) assets related to data center leases across 15+ locations in the U.S. and internationally. The majority of our fixed assets consist of GPU compute infrastructure, along with associated racks, cabling, and supporting data center equipment.\n\nThis role will own the full lifecycle of fixed assets and leases—from capitalization policy and CIP monitoring to depreciation, lease accounting under ASC 842, asset disposals, and audit support. The ideal candidate brings strong technical accounting expertise, operational rigor, and the ability to partner cross-functionally with infrastructure, procurement, and legal teams in a rapidly scaling environment.\n\nKey Responsibilities\n\n - Fixed Asset Accounting & Controls\n \n - Manage accounting and reporting for $1.5B+ in fixed assets including GPU infrastructure, racks, cabling, and related equipment.\n \n - Oversee asset capitalization, classification, and useful life determinations in accordance with U.S. GAAP.\n \n - Review and approve asset additions, transfers, disposals, and retirements.\n \n - Ensure accurate depreciation calculations and reconciliation of the fixed asset subledger to the general ledger.\n \n - Maintain and continuously improve capitalization policies and internal controls.\n\n - Construction in Progress (CIP) Management\n \n - Oversee accounting for $200M+ in CIP related to GPU infrastructure deployments and data center buildouts.\n \n - Track asset commissioning and ensure timely capitalization once assets are placed into service.\n \n - Partner with engineering, infrastructure, and procurement teams to validate deployment milestones and cost allocations.\n \n - Monitor CIP aging and ensure appropriate classification and capitalization timing.\n\n - Lease Accounting (ASC 842)\n \n - Manage accounting and reporting for $500M+ in Right-of-Use (ROU) assets related to data center leases across 15+ locations.\n \n - Ensure compliance with ASC 842 including lease classification, ROU asset and liability calculations, and ongoing lease reassessments.\n \n - Abstract lease agreements and identify embedded leases where applicable.\n \n - Coordinate with technical accounting for lease modifications, renewals, and terminations.\n \n - Maintain lease accounting schedules and support financial reporting disclosures.\n\n - Financial Reporting & Audit Support\n \n - Prepare fixed asset and lease accounting schedules for monthly, quarterly, and annual close.\n \n - Support internal and external audit processes by providing documentation, reconciliations, and analysis.\n \n - Assist with financial statement disclosures related to fixed assets, depreciation, and leases.\n \n - Partner with tax and finance teams on asset-related reporting requirements.\n\n\n\n - Asset Lifecycle & Operational Partnership\n \n - Collaborate with infrastructure, operations, and procurement teams to ensure accurate tracking of high-value GPU assets.\n \n - Support processes for asset tagging, inventory tracking, and periodic physical verification of assets.\n \n - Oversee asset retirement and decommissioning processes for technology equipment.\n\n - Process Improvement & Systems\n \n - Evaluate and enhance fixed asset and lease accounting systems and workflows to support rapid growth.\n \n - Drive automation and integration between ERP (NetSuite), procurement systems, and asset tracking tools.\n \n - Develop scalable processes to manage high volumes of infrastructure assets\n\nQualifications\n\n - Required\n \n - Bachelor’s degree in Accounting or Finance.\n \n - 7+ years of accounting experience with significant exposure to fixed asset and lease accounting.\n \n - Experience managing large-scale fixed asset and lease portfolios ($2B+ preferred).\n \n - Strong understanding of U.S. GAAP fixed asset accounting and ASC 842 lease accounting.\n \n - Experience managing Construction in Progress (CIP) and capital project accounting.\n \n - Proficiency with ERP systems and fixed asset management modules.\n \n - Strong analytical, organizational, and process improvement skills.\n\n - Preferred\n \n - CPA with public accounting experience.\n \n - Experience in data center, cloud infrastructure, technology hardware, telecom, or other capital-intensive industries.\n \n - Experience accounting for technology infrastructure assets such as servers, GPUs, or networking equipment.\n \n - Experience with global operations and multi-location lease portfolios.\n \n - Experience implementing or optimizing fixed asset or lease accounting systems.\n \n - Forward-thinker in embracing and implementing AI tools as part of foundational accounting processes.\n\nKey Competencies\n\n - Technical accounting expertise (fixed assets and leases)\n\n - Strong internal controls mindset\n\n - Ability to manage complex, high-value asset portfolios\n\n - Cross-functional collaboration with operational teams\n\n - Detail-oriented with strong analytical capability\n\n - Ability to operate effectively in a fast-growing environment\n\n - Forward-thinker in embracing and implementing AI tools as part of foundation accounting processes.\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"$165K – $220K","scrapeableCompensationSalarySummary":"$165K - $220K","compensationTiers":[{"id":"88a209d6-a7d2-4d82-9bc0-295bad437b5b","tierSummary":"$165K – $220K","title":null,"additionalInformation":null,"components":[{"id":"d332d7c4-acaa-4d36-916c-baff3f72185d","summary":"$165K – $220K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":165000,"maxValue":220000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":165000,"maxValue":220000}]}},{"id":"f7cbc44b-ffd4-4ab2-8033-3e2cb3a20afa","title":"Data Center Operations Systems Engineer (Quebec City, Canada)","department":"Data Center Business","team":"Data Center Operations","employmentType":"FullTime","location":"Québec City, QC - Data Center","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-04-13T21:11:03.984+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"Quebec","addressCountry":"Canada","addressLocality":"Québec City"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/f7cbc44b-ffd4-4ab2-8033-3e2cb3a20afa","applyUrl":"https://jobs.ashbyhq.com/lambda/f7cbc44b-ffd4-4ab2-8033-3e2cb3a20afa/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our Quebec City, Canada Data Center 5 days; shift work
What You'll Do
Ensure new server, storage and network infrastructure is properly racked, labeled, cabled, and configured
Troubleshoot hardware and software issues in some of the world’s most advanced systems
Document data center layout and network topology in DCIM software
Work with supply chain & manufacturing teams to ensure timely deployment of systems and project plans for large-scale deployments
Manage a parts depot inventory and track equipment through the delivery-store-stage-deploy-handoff process in each of our data centers
Work closely with HW Support team to ensure data center infrastructure-related support tickets are resolved
Work with RMA team to ensure faulty parts are returned and replacements are ordered
Follow installation standards and documentation for placement, labeling, and cabling to drive consistency and discoverability across all data centers
You
Are familiar with critical infrastructure systems supporting data centers, such as power distribution, air flow management, environmental monitoring, capacity planning, DCIM software, structured cabling, and cable management
Are someone who pays attention to detail and has the ability to follow instructions
Are action-oriented and have a strong willingness to learn
Are willing to travel for bring up of new data center locations
Nice to Have
Experience with troubleshooting server hardware
Experience with/or knowledge of network topology
Familiarity with ticketing systems like JIRA and Zendesk
Experience with Linux administration
Experience with working in large-scale distributed data center environments
Experience with Supermicro & Nvidia hardware
Salary Range Information
This is a salaried role, eligible for overtime. The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our Quebec City, Canada Data Center 5 days; shift work\n\n\n\nWhat You'll Do\n\n - Ensure new server, storage and network infrastructure is properly racked, labeled, cabled, and configured\n\n - Troubleshoot hardware and software issues in some of the world’s most advanced systems\n\n - Document data center layout and network topology in DCIM software\n\n - Work with supply chain & manufacturing teams to ensure timely deployment of systems and project plans for large-scale deployments\n\n - Manage a parts depot inventory and track equipment through the delivery-store-stage-deploy-handoff process in each of our data centers\n\n - Work closely with HW Support team to ensure data center infrastructure-related support tickets are resolved\n\n - Work with RMA team to ensure faulty parts are returned and replacements are ordered\n\n - Follow installation standards and documentation for placement, labeling, and cabling to drive consistency and discoverability across all data centers\n\nYou\n\n - Are familiar with critical infrastructure systems supporting data centers, such as power distribution, air flow management, environmental monitoring, capacity planning, DCIM software, structured cabling, and cable management\n\n - Are someone who pays attention to detail and has the ability to follow instructions\n\n - Are action-oriented and have a strong willingness to learn\n\n - Are willing to travel for bring up of new data center locations\n\nNice to Have\n\n - Experience with troubleshooting server hardware\n\n - Experience with/or knowledge of network topology\n\n - Familiarity with ticketing systems like JIRA and Zendesk\n\n - Experience with Linux administration\n\n - Experience with working in large-scale distributed data center environments\n\n - Experience with Supermicro & Nvidia hardware\n\nSalary Range Information\n\nThis is a salaried role, eligible for overtime. The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"CA$66,250 – CA$102,700","scrapeableCompensationSalarySummary":"CA$66,250 - CA$102,700","compensationTiers":[{"id":"b3f27957-c356-4666-9778-4cc537b5187f","tierSummary":"CA$66,250 – CA$102,700","title":null,"additionalInformation":null,"components":[{"id":"52d06712-1039-4f97-9f45-3cca504713ea","summary":"CA$66,250 – CA$102,700","compensationType":"Salary","interval":"1 YEAR","currencyCode":"CAD","minValue":66250,"maxValue":102700}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"CAD","minValue":66250,"maxValue":102700}]}},{"id":"7c1d9573-d7ac-4b4e-abad-df4b5c61fa65","title":"Senior Data Center Operations Systems Engineer (Quebec City, Canada)","department":"Data Center Business","team":"Data Center Operations","employmentType":"FullTime","location":"Québec City, QC - Data Center","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-04-14T14:21:34.853+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"Quebec","addressCountry":"Canada","addressLocality":"Québec City"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/7c1d9573-d7ac-4b4e-abad-df4b5c61fa65","applyUrl":"https://jobs.ashbyhq.com/lambda/7c1d9573-d7ac-4b4e-abad-df4b5c61fa65/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our Quebec City, Canada Data Center 5 days per week; shift work.
What You'll Do
Ensure new server, storage and network infrastructure is properly racked, labeled, cabled, and configured.
Troubleshoot hardware and software issues in some of the world’s most advanced GPU and Networking systems.
Document and update data center layout and network topology in DCIM software
Work with supply chain & manufacturing teams to ensure timely deployment of systems and project plans for large-scale deployments
Manage a parts depot inventory and track equipment through the delivery-store-stage-deploy-handoff process in each of our data centers
Partner with HW Support teams to ensure data center hardware incidents with higher level troubleshooting challenges are resolved, reported on and solutions are disseminated to the large operations organization.
Work with RMA team to ensure faulty parts are returned and replacements are ordered
Follow installation standards and documentation for placement, labeling, and cabling to drive consistency and discoverability across all data centers
You
Have strong past experiences with critical infrastructure systems supporting data centers, such as power distribution, air flow management, environmental monitoring, capacity planning, DCIM software, structured cabling, and cable management
Be familiar with carrier DIA circuit test and turn ups, fiber testing and troubleshooting
Basic knowledge of cable optics and the different types of use
Solid understanding of single and three phase power theories
PDU balancing and why it is important
Familiar with multiple cable media types and their uses
Knowledge of cold isle and hot isle containment
Solid understanding of server hardware and boot process
Ability to structure, collaborate and iteratively improve on complex maintenance MOPs.
Working with product management, support, and other teams to align operational capabilities with company goals.
Translating business priorities into technical and operational requirements.
Supporting cross-functional projects where infrastructure plays a critical role.
Are action-oriented and willingness to train junior staff on best practices
Are willing to travel for bring up of new data center locations as needed
Nice to Have
Have 3+ years experience with critical infrastructure systems supporting data centers, such as power distribution, air flow management, environmental monitoring, capacity planning, DCIM software, structured cabling, and cable management
Experience with/or knowledge of network topology and configurations and 400gb Infiniband architectures.
Experience with/or knowledge of DDP or SCM cluster storage systems.
Have 3+ years working with and reporting from a ticketing systems like JIRA and Zendesk
Advanced experience with Linux administration
Experience with High Performance Compute GPU systems (air or water cooled) - especially Nvidia NVL72
Salary Range Information
This is a salaried role, eligible for overtime. The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our Quebec City, Canada Data Center 5 days per week; shift work.\n\n\n\nWhat You'll Do\n\n - Ensure new server, storage and network infrastructure is properly racked, labeled, cabled, and configured.\n\n - Troubleshoot hardware and software issues in some of the world’s most advanced GPU and Networking systems.\n\n - Document and update data center layout and network topology in DCIM software\n\n - Work with supply chain & manufacturing teams to ensure timely deployment of systems and project plans for large-scale deployments\n\n - Manage a parts depot inventory and track equipment through the delivery-store-stage-deploy-handoff process in each of our data centers\n\n - Partner with HW Support teams to ensure data center hardware incidents with higher level troubleshooting challenges are resolved, reported on and solutions are disseminated to the large operations organization.\n\n - Work with RMA team to ensure faulty parts are returned and replacements are ordered\n\n - Follow installation standards and documentation for placement, labeling, and cabling to drive consistency and discoverability across all data centers\n\nYou\n\n - Have strong past experiences with critical infrastructure systems supporting data centers, such as power distribution, air flow management, environmental monitoring, capacity planning, DCIM software, structured cabling, and cable management\n\n - Be familiar with carrier DIA circuit test and turn ups, fiber testing and troubleshooting\n\n - Basic knowledge of cable optics and the different types of use\n\n - Solid understanding of single and three phase power theories\n\n - PDU balancing and why it is important\n\n - Familiar with multiple cable media types and their uses\n\n - Knowledge of cold isle and hot isle containment\n\n - Solid understanding of server hardware and boot process\n\n - Ability to structure, collaborate and iteratively improve on complex maintenance MOPs.\n\n - Working with product management, support, and other teams to align operational capabilities with company goals.\n\n - Translating business priorities into technical and operational requirements.\n\n - Supporting cross-functional projects where infrastructure plays a critical role.\n\n - Are action-oriented and willingness to train junior staff on best practices\n\n - Are willing to travel for bring up of new data center locations as needed\n\nNice to Have\n\n - Have 3+ years experience with critical infrastructure systems supporting data centers, such as power distribution, air flow management, environmental monitoring, capacity planning, DCIM software, structured cabling, and cable management\n\n - Experience with/or knowledge of network topology and configurations and 400gb Infiniband architectures.\n\n - Experience with/or knowledge of DDP or SCM cluster storage systems.\n\n - Have 3+ years working with and reporting from a ticketing systems like JIRA and Zendesk\n\n - Advanced experience with Linux administration\n\n - Experience with High Performance Compute GPU systems (air or water cooled) - especially Nvidia NVL72\n\nSalary Range Information\n\nThis is a salaried role, eligible for overtime. The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"CA$83.2K – CA$124.8K","scrapeableCompensationSalarySummary":"CA$83.2K - CA$124.8K","compensationTiers":[{"id":"94c6a087-e876-4bc4-8e1a-9d6f3bd5fe25","tierSummary":"CA$83.2K – CA$124.8K","title":null,"additionalInformation":null,"components":[{"id":"a20e6599-6aad-4ec2-914f-bb62fa615489","summary":"CA$83.2K – CA$124.8K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"CAD","minValue":83200,"maxValue":124800}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"CAD","minValue":83200,"maxValue":124800}]}},{"id":"62fcad14-b225-427c-ad86-6bb52377a997","title":"Data Center Mechanical Engineering Intern - 2026","department":"Data Center Business","team":"HPC Architecture","employmentType":"Intern","location":"San Jose Office (Zanker)","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"San Francisco Office (Fremont St)","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}}}],"publishedAt":"2026-05-21T21:04:51.698+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/62fcad14-b225-427c-ad86-6bb52377a997","applyUrl":"https://jobs.ashbyhq.com/lambda/62fcad14-b225-427c-ad86-6bb52377a997/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Jose or San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
We're looking for Mechanical Engineering interns to join Lambda's Infrastructure Engineering team for an exciting internship opportunity. You’ll help build the operational foundation for one of the fastest-growing GPU cloud networks in the world.
What You’ll Do
Verify data center electrical or mechanical infrastructure against existing documentation
Conduct checklist-driven reviews of assigned systems
Compare field conditions against drawings, diagrams, equipment records, and asset inventories
Document equipment labels, configurations, ratings, and discrepancies
Update draft system maps, inventory records, and documentation inputs
Capture operating parameters in standardized templates
Flag documentation gaps and potential resiliency concerns for senior engineer review
Prepare site audit summaries for the Infrastructure Engineering team
Recommend improvements to audit checklists and workflows
You
Currently pursuing a Bachelor's or Master’s in Mechanical Engineering or related field.
Are detail-oriented and comfortable working from checklists
Can read technical documentation or are eager to learn
Communicate clearly in writing
Are comfortable working under supervision in a structured engineering environment
Are interested in data centers, infrastructure, reliability, or mission-critical systems
Nice to Have
Familiarity with data center, facility, lab, industrial, or infrastructure environments
Exposure to CAD, Bluebeam, Excel, Google Sheets, or asset management tools
For EE candidates: familiarity with power distribution, UPS systems, generators, switchgear, transformers, or PDUs
For ME candidates: familiarity with cooling systems, chillers, pumps, piping, valves, CRAHs, or controls
Prior internship, project, lab, or field experience
Salary Range Information
This is an hourly role, eligible for overtime. The hourly rate for this position has been set based on market data and other factors. However, a hourly rate higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Jose or San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\nWe're looking for Mechanical Engineering interns to join Lambda's Infrastructure Engineering team for an exciting internship opportunity. You’ll help build the operational foundation for one of the fastest-growing GPU cloud networks in the world.\n\nWhat You’ll Do\n\n - Verify data center electrical or mechanical infrastructure against existing documentation\n\n - Conduct checklist-driven reviews of assigned systems\n\n - Compare field conditions against drawings, diagrams, equipment records, and asset inventories\n\n - Document equipment labels, configurations, ratings, and discrepancies\n\n - Update draft system maps, inventory records, and documentation inputs\n\n - Capture operating parameters in standardized templates\n\n - Flag documentation gaps and potential resiliency concerns for senior engineer review\n\n - Prepare site audit summaries for the Infrastructure Engineering team\n\n - Recommend improvements to audit checklists and workflows\n\nYou\n\n - Currently pursuing a Bachelor's or Master’s in Mechanical Engineering or related field.\n\n - Are detail-oriented and comfortable working from checklists\n\n - Can read technical documentation or are eager to learn\n\n - Communicate clearly in writing\n\n - Are comfortable working under supervision in a structured engineering environment\n\n - Are interested in data centers, infrastructure, reliability, or mission-critical systems\n\nNice to Have\n\n - Familiarity with data center, facility, lab, industrial, or infrastructure environments\n\n - Exposure to CAD, Bluebeam, Excel, Google Sheets, or asset management tools\n\n - For EE candidates: familiarity with power distribution, UPS systems, generators, switchgear, transformers, or PDUs\n\n - For ME candidates: familiarity with cooling systems, chillers, pumps, piping, valves, CRAHs, or controls\n\n - Prior internship, project, lab, or field experience\n\nSalary Range Information\n\nThis is an hourly role, eligible for overtime. The hourly rate for this position has been set based on market data and other factors. However, a hourly rate higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"$37 – $45 per hour","scrapeableCompensationSalarySummary":null,"compensationTiers":[{"id":"a2b928fd-9761-48c9-be62-3a0cd7bf8ebe","tierSummary":"$37 – $45 per hour","title":null,"additionalInformation":null,"components":[{"id":"b69d9851-1361-44d7-a543-b9a074aac6f6","summary":"$37 – $45 per hour","compensationType":"Salary","interval":"1 HOUR","currencyCode":"USD","minValue":37,"maxValue":45}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 HOUR","currencyCode":"USD","minValue":37,"maxValue":45}]}},{"id":"dee77fd8-7b4a-4212-af48-59df66e6d05e","title":"Data Center Facility Operations Manager","department":"Data Center Business","team":"Data Center Design & Fit Out","employmentType":"FullTime","location":"Kansas City, MO - Data Center","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-05-14T17:19:04.879+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"Missouri","addressCountry":"United States","addressLocality":"Kansas City"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/dee77fd8-7b4a-4212-af48-59df66e6d05e","applyUrl":"https://jobs.ashbyhq.com/lambda/dee77fd8-7b4a-4212-af48-59df66e6d05e/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our Kansas City, MO office location 5 days per week.
Travel Requirements: Initially low, scaling up to 50% travel across assigned regional sites as portfolio grows
What You’ll Do:
This is a unique, progressive leadership role designed to grow alongside Lambda's expanding infrastructure footprint. You will begin as the \"Mayor of the Data Center,\" serving as the single point of accountability for the daily performance, safety, and uptime of a single critical high-density AI facility. In this initial phase, you will physically own the building 24/7, directly supervising daily shift operations and managing the on-site performance of our partners, including Salute Mission Critical and colocation landlords.
As you successfully stabilize and optimize your initial site, this role will expand into a regional scope. You will transition into the Regional Data Center Operations Manager, overseeing a portfolio of critical, high-density AI facilities across a broader geographic region. Operating remotely with up to 50% travel, you will bridge the gap between global engineering standards and local operational execution across diverse markets.
Key Responsibilities:
Phase 1: Site Manager Responsibilities (Single Site Operations)
During the initial phase of your tenure, you will focus on local site mastery and standard enforcement.
Daily Shift Oversight: Administer staff scheduling to ensure continuous, seamless 24/7 operational coverage and rigidly uphold Standard Operating Procedures (SOPs) for continuous electronic monitoring (\"Eyes on Glass\") and physical inspections.
Vendor Management: Act as the daily supervising manager for the deployed Salute Mission Critical workforce, validating their timekeeping, quality of rounds, and technical proficiency. You will also serve as the daily interface with the building landlord, verifying that cooling water supply temperatures and pressures match contract specifications.
Direct Liquid Cooling (DLC) Stewardship: Serve as the primary owner of the site’s Leak Response Plan, running drills to ensure the team can isolate a failed hose or manifold in under 60 seconds.
Preventative Maintenance & Inventory: Conduct daily \"white glove\" inspections of data halls to identify potential failure points and manage the site’s spare parts inventory to ensure critical CDU components (filters, sensors, O-rings) are accounted for.
Safety & Compliance: Enforce the mandatory \"Two-Person Rule\" for overnight shifts, authorize all \"Hot Work\" permits, and conduct monthly emergency drills (Fire, Leak, Power Loss) to ensure direct hires and contractors function as a cohesive unit.
Phase 2: Regional Manager Responsibilities (Multi-Site Portfolio)
As you scale into the regional role, your focus will shift toward overarching strategy, standardization, and matrix leadership.
Regional Leadership: Manage, mentor, and evaluate the Site Data Center Facilities Operations Managers across your assigned region.
Operational Standardization: Standardize SOPs across all regional sites to ensure continuous electronic monitoring and mandatory physical site inspections are uniformly upheld, bridging the gap between global engineering standards and local execution.
Advanced Technical Strategy: Serve as the regional escalation point and subject matter expert for high-density AI infrastructure and DLC deployments. Standardize regional Leak Response Plans and oversee regional supply chain logistics for critical DLC spare parts to mitigate risks in cross-border or delayed supply chains.
Regional Vendor Governance: Manage overarching relationships with colocation partners and managed service providers, auditing site-level vendor performance against regional SLAs.
Cross-Team Alignment: Oversee the strategic alignment between facility infrastructure operations (\"Grey Space\") and internal Data Center Operations teams (\"White Space\") to ensure seamless deployments.
Qualifications:
Experience: 5+ years in data center or critical infrastructure operations (e.g., Navy Nuclear, Power Plant), with prior supervisory experience progressing into multi-site leadership.
Technical Skills: Deep comfort with high-density power, liquid-cooled environments, and complex cooling topologies. Strong ability to troubleshoot mechanical/electrical systems and read Single Line Diagrams (SLDs).
Leadership Style: Proven track record in a \"matrix\" environment, directing and unifying diverse teams of internal employees, contractors, and 3rd-party vendors across multiple locations.
Language & Autonomy: Fluency in English and the primary business language(s) of the assigned region is required to navigate local regulations and vendors. Must be highly disciplined in administrative documentation and comfortable working autonomously in a remote capacity.
What We Offer
Opportunity to shape the telemetry and controls architecture for one of the fastest-growing AI infrastructure platforms in the industry.
Work with cutting-edge GPU infrastructure at rack densities at the frontier of what the industry has deployed.
Collaborative environment with experienced infrastructure, construction, and vendor teams across a rapidly scaling global portfolio.
Competitive compensation including salary, equity, and comprehensive benefits.
Flexibility in work location with hybrid/remote options depending on facility portfolio needs.
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n\n*Note: This position requires presence in our Kansas City, MO office location 5 days per week.\n\nTravel Requirements: Initially low, scaling up to 50% travel across assigned regional sites as portfolio grows\n\nWhat You’ll Do:\n\nThis is a unique, progressive leadership role designed to grow alongside Lambda's expanding infrastructure footprint. You will begin as the \"Mayor of the Data Center,\" serving as the single point of accountability for the daily performance, safety, and uptime of a single critical high-density AI facility. In this initial phase, you will physically own the building 24/7, directly supervising daily shift operations and managing the on-site performance of our partners, including Salute Mission Critical and colocation landlords.\n\nAs you successfully stabilize and optimize your initial site, this role will expand into a regional scope. You will transition into the Regional Data Center Operations Manager, overseeing a portfolio of critical, high-density AI facilities across a broader geographic region. Operating remotely with up to 50% travel, you will bridge the gap between global engineering standards and local operational execution across diverse markets.\n\nKey Responsibilities:\n\n \n\nPhase 1: Site Manager Responsibilities (Single Site Operations)\n\nDuring the initial phase of your tenure, you will focus on local site mastery and standard enforcement.\n\n - Daily Shift Oversight: Administer staff scheduling to ensure continuous, seamless 24/7 operational coverage and rigidly uphold Standard Operating Procedures (SOPs) for continuous electronic monitoring (\"Eyes on Glass\") and physical inspections.\n\n - Vendor Management: Act as the daily supervising manager for the deployed Salute Mission Critical workforce, validating their timekeeping, quality of rounds, and technical proficiency. You will also serve as the daily interface with the building landlord, verifying that cooling water supply temperatures and pressures match contract specifications.\n\n - Direct Liquid Cooling (DLC) Stewardship: Serve as the primary owner of the site’s Leak Response Plan, running drills to ensure the team can isolate a failed hose or manifold in under 60 seconds.\n\n - Preventative Maintenance & Inventory: Conduct daily \"white glove\" inspections of data halls to identify potential failure points and manage the site’s spare parts inventory to ensure critical CDU components (filters, sensors, O-rings) are accounted for.\n\n - Safety & Compliance: Enforce the mandatory \"Two-Person Rule\" for overnight shifts, authorize all \"Hot Work\" permits, and conduct monthly emergency drills (Fire, Leak, Power Loss) to ensure direct hires and contractors function as a cohesive unit.\n\nPhase 2: Regional Manager Responsibilities (Multi-Site Portfolio)\n\nAs you scale into the regional role, your focus will shift toward overarching strategy, standardization, and matrix leadership.\n\n - Regional Leadership: Manage, mentor, and evaluate the Site Data Center Facilities Operations Managers across your assigned region.\n\n - Operational Standardization: Standardize SOPs across all regional sites to ensure continuous electronic monitoring and mandatory physical site inspections are uniformly upheld, bridging the gap between global engineering standards and local execution.\n\n - Advanced Technical Strategy: Serve as the regional escalation point and subject matter expert for high-density AI infrastructure and DLC deployments. Standardize regional Leak Response Plans and oversee regional supply chain logistics for critical DLC spare parts to mitigate risks in cross-border or delayed supply chains.\n\n - Regional Vendor Governance: Manage overarching relationships with colocation partners and managed service providers, auditing site-level vendor performance against regional SLAs.\n\n - Cross-Team Alignment: Oversee the strategic alignment between facility infrastructure operations (\"Grey Space\") and internal Data Center Operations teams (\"White Space\") to ensure seamless deployments.\n\nQualifications:\n\n - Experience: 5+ years in data center or critical infrastructure operations (e.g., Navy Nuclear, Power Plant), with prior supervisory experience progressing into multi-site leadership.\n\n - Technical Skills: Deep comfort with high-density power, liquid-cooled environments, and complex cooling topologies. Strong ability to troubleshoot mechanical/electrical systems and read Single Line Diagrams (SLDs).\n\n - Leadership Style: Proven track record in a \"matrix\" environment, directing and unifying diverse teams of internal employees, contractors, and 3rd-party vendors across multiple locations.\n\n - Language & Autonomy: Fluency in English and the primary business language(s) of the assigned region is required to navigate local regulations and vendors. Must be highly disciplined in administrative documentation and comfortable working autonomously in a remote capacity.\n\nWhat We Offer\n\n - Opportunity to shape the telemetry and controls architecture for one of the fastest-growing AI infrastructure platforms in the industry.\n\n - Work with cutting-edge GPU infrastructure at rack densities at the frontier of what the industry has deployed.\n\n - Collaborative environment with experienced infrastructure, construction, and vendor teams across a rapidly scaling global portfolio.\n\n - Competitive compensation including salary, equity, and comprehensive benefits.\n\n - Flexibility in work location with hybrid/remote options depending on facility portfolio needs.\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"$185K – $281K","scrapeableCompensationSalarySummary":"$185K - $281K","compensationTiers":[{"id":"0b3eb0ff-be52-46ad-8c39-6ef9c3ecffe1","tierSummary":"$185K – $281K","title":null,"additionalInformation":null,"components":[{"id":"f6b86e36-d64e-437b-9016-974b49e36dd7","summary":"$185K – $281K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":185000,"maxValue":281000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":185000,"maxValue":281000}]}},{"id":"8b423e61-73a0-4838-a64c-ce655a9b6f14","title":"Warehouse Associate","department":"Data Center Business","team":"RMA / Logistics","employmentType":"FullTime","location":"San Jose Office (Zanker)","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-04-22T23:53:40.096+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/8b423e61-73a0-4838-a64c-ce655a9b6f14","applyUrl":"https://jobs.ashbyhq.com/lambda/8b423e61-73a0-4838-a64c-ce655a9b6f14/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Jose office location 5 days per week.
We are looking for a detail-oriented and dependable Warehouse Associate 3 to join our Warehouse team and support the day-to-day execution of warehouse operations. This role is critical to ensuring timely and accurate material movement, inventory handling, and process adherence across our facility. This job entails becoming a SME in all warehouse processes and being able to take on special projects onsite and other outside warehouse operations. You’ll work closely with the Warehouse Manager and collaborate with cross-functional teams including Accounting, Materials, and Logistics.
What You’ll Do
Under limited supervision, applies considerable warehouse knowledge to perform a broad range of tasks which include but are not limited to cycle counting, receiving, put-away, picking/packing, and preparing shipments materials for outbound deployments, and external/internal transfers
Handle material movement across designated areas in line with process standards
Understand full flow of the materials within warehouse locations.
Participate in physical inventories, and reconciliation of activities in coordination with Inventory Control Specialists.
Ensure accurate transactions within the ERP system (NetSuite or equivalent)
Follow established SOPs and escalate issues when necessary
Adhering to all workplace safety policies, reporting safety hazards, and following company regulations.
Collaborate with the team to continuously improve warehouse processes and efficiency
Support documentation, labeling, and compliance requirements for high-value inventory
Ensure the business unit is always audit ready.
Assist with training new personnel or cross-train existing personnel on all required warehouse processes.
May be required to perform other duties as assigned.
You
3+ years of experience in warehouse or logistics operations preferred.
Experience in warehouse, logistics, and materials handling.
Familiarity with inventory management systems and ERP software (NetSuite a plus).
Basic knowledge of Microsoft Office Suite (Excel, Word).
Ability to lift up to 50 lbs and operate warehouse equipment (e.g., pallet jacks, forklifts).
Excellent organizational and time management skills.
Strong communication and problem-solving aptitude.
Strong attention to detail and commitment to accuracy.
Good communication skills and ability to work collaboratively in a fast-paced. environment
Salary Range Information
This is an hourly role, eligible for overtime. The hourly rate for this position has been set based on market data and other factors. However, a hourly rate higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Jose office location 5 days per week.\n\n\nWe are looking for a detail-oriented and dependable Warehouse Associate 3 to join our Warehouse team and support the day-to-day execution of warehouse operations. This role is critical to ensuring timely and accurate material movement, inventory handling, and process adherence across our facility. This job entails becoming a SME in all warehouse processes and being able to take on special projects onsite and other outside warehouse operations. You’ll work closely with the Warehouse Manager and collaborate with cross-functional teams including Accounting, Materials, and Logistics.\n\nWhat You’ll Do\n\n - Under limited supervision, applies considerable warehouse knowledge to perform a broad range of tasks which include but are not limited to cycle counting, receiving, put-away, picking/packing, and preparing shipments materials for outbound deployments, and external/internal transfers\n\n - Handle material movement across designated areas in line with process standards\n\n - Understand full flow of the materials within warehouse locations.\n\n - Participate in physical inventories, and reconciliation of activities in coordination with Inventory Control Specialists.\n\n - Ensure accurate transactions within the ERP system (NetSuite or equivalent)\n\n - Follow established SOPs and escalate issues when necessary\n\n - Adhering to all workplace safety policies, reporting safety hazards, and following company regulations.\n\n - Collaborate with the team to continuously improve warehouse processes and efficiency\n\n - Support documentation, labeling, and compliance requirements for high-value inventory\n\n - Ensure the business unit is always audit ready.\n\n - Assist with training new personnel or cross-train existing personnel on all required warehouse processes.\n\n - May be required to perform other duties as assigned.\n\nYou\n\n - 3+ years of experience in warehouse or logistics operations preferred.\n\n - Experience in warehouse, logistics, and materials handling.\n\n - Familiarity with inventory management systems and ERP software (NetSuite a plus).\n\n - Basic knowledge of Microsoft Office Suite (Excel, Word).\n\n - Ability to lift up to 50 lbs and operate warehouse equipment (e.g., pallet jacks, forklifts).\n\n - Excellent organizational and time management skills.\n\n - Strong communication and problem-solving aptitude.\n\n - Strong attention to detail and commitment to accuracy.\n\n - Good communication skills and ability to work collaboratively in a fast-paced. environment\n\nSalary Range Information\n\nThis is an hourly role, eligible for overtime. The hourly rate for this position has been set based on market data and other factors. However, a hourly rate higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"$25 – $35 per hour","scrapeableCompensationSalarySummary":null,"compensationTiers":[{"id":"09d0b164-117e-4286-95dd-db0ecddca7c4","tierSummary":"$25 – $35 per hour","title":null,"additionalInformation":null,"components":[{"id":"993d2de7-5e00-44a3-b802-afaf6225b5a3","summary":"$25 – $35 per hour","compensationType":"Salary","interval":"1 HOUR","currencyCode":"USD","minValue":25,"maxValue":35}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 HOUR","currencyCode":"USD","minValue":25,"maxValue":35}]}},{"id":"ff183caf-e94b-4149-9148-a16d984e26e3","title":"Workplace Coordinator","department":"G&A","team":"Real Estate","employmentType":"FullTime","location":"Bellevue, WA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-05-06T16:36:33.000+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"Washington","addressCountry":"United States","addressLocality":"Seattle"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/ff183caf-e94b-4149-9148-a16d984e26e3","applyUrl":"https://jobs.ashbyhq.com/lambda/ff183caf-e94b-4149-9148-a16d984e26e3/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our Bellevue office location 5 days per week
The Workplace Coordinator will be a part of the Workplace team and will wear multiple hats supporting the office and the employees. The Workplace Coordinator will be the first point of contact in the Bellevue office for employees, visitors, customers, and vendors. The role will be responsible for completing office operational and administrative tasks, including managing workplace workflows and systems, while also cultivating a positive and productive workplace.
What You’ll Do
Be present in the office, Monday through Friday from 8:30am - 5:00pm PT, and be there at times when no one else is for special projects and moves
Keep the Bellevue office running with respect to the day-to-day operations, vendor relationships and associated services, employee health and safety compliance, and facility maintenance
Greet employees, visitors, customers, and vendors, making them feel welcome and comfortable, and creating a positive workplace experience and environment for all
Maintain and manage the conference rooms, keeping them clean, neat, and well stocked
Keep the office tidy, clean, stocked, and organized
Restock all kitchen snacks, drinks and office supplies
Manage inventory and order all office and kitchen supplies while tracking spend and working within the office budget
Process and distribute incoming mail and packages and fulfill any shipping requests
Work closely with IT for equipment or accessory requests from employees
Manage the lunch service account
Manage the intercom system and the visitor registration system and implement Lambda’s safety and security protocols
Stay on top of upcoming onsite meetings, including understanding the attendee list, their specific needs, and preparing the space for the meeting
Build relationships with external parties (contractors, suppliers, etc.) and with building management, maintenance, and cleaning staff, including quality control, vendor accountability, and delivering feedback
Work with property management for visitor access and building maintenance requests
Routinely update and maintain the emergency plan and educate employees on emergency protocols and resources
Manage office seating plan and assist with office moves and relocations
Design and deliver inclusive and thoughtful office events and experiences, managing all aspects including planning, communications, food and supply ordering, décor, setup, and cleanup
Answer workplace tickets in a kind and timely manner
Support and provide back-up for the Workplace team
Assist with ad-hoc projects when time allows
You
1-3 years experience in facilities, workplace operations, office administration, or hospitality
Have experience working in a fast paced work environment
Proficiency with G-Suite Products
Genuine passion for supporting others and possesses a positive attitude
Capable of anticipating others' needs and act with patience, kindness, and firmness
Excellent written, non-verbal, and verbal communication skills
Ability to work well with various personality types and are receptive to feedback, while also maintaining a high degree of professionalism and confidentiality
Ability to learn software quickly
Excellent organization, planning, and prioritization skills
Exceptionally strong ownership and can-do attitude with an operational mindset
Comfortable working autonomously, juggling multiple tasks under tight deadlines, switching gears at the drop of a hat, and having a “no task too small” mentality
Willingness to jump in where needed, picking up projects and checking things off lists even when it lands on your plate unexpectedly
An eye for detail with regards to all things from process to projects to space to events
The ability to maintain a professional and kind game face even when things aren’t going as planned or desire
A propensity for problem solving quickly and quietly
Mental/Physical Qualifications
Must be able to lift 25 pounds
Salary Range Information
This is an hourly role, eligible for overtime. The hourly rate for this position has been set based on market data and other factors. However, a hourly rate higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our Bellevue office location 5 days per week\n\nThe Workplace Coordinator will be a part of the Workplace team and will wear multiple hats supporting the office and the employees. The Workplace Coordinator will be the first point of contact in the Bellevue office for employees, visitors, customers, and vendors. The role will be responsible for completing office operational and administrative tasks, including managing workplace workflows and systems, while also cultivating a positive and productive workplace.\n\nWhat You’ll Do\n\n - Be present in the office, Monday through Friday from 8:30am - 5:00pm PT, and be there at times when no one else is for special projects and moves\n\n - Keep the Bellevue office running with respect to the day-to-day operations, vendor relationships and associated services, employee health and safety compliance, and facility maintenance\n\n - Greet employees, visitors, customers, and vendors, making them feel welcome and comfortable, and creating a positive workplace experience and environment for all\n\n - Maintain and manage the conference rooms, keeping them clean, neat, and well stocked\n\n - Keep the office tidy, clean, stocked, and organized\n\n - Restock all kitchen snacks, drinks and office supplies\n\n - Manage inventory and order all office and kitchen supplies while tracking spend and working within the office budget\n\n - Process and distribute incoming mail and packages and fulfill any shipping requests\n\n - Work closely with IT for equipment or accessory requests from employees\n\n - Manage the lunch service account\n\n - Manage the intercom system and the visitor registration system and implement Lambda’s safety and security protocols\n\n - Stay on top of upcoming onsite meetings, including understanding the attendee list, their specific needs, and preparing the space for the meeting\n\n - Build relationships with external parties (contractors, suppliers, etc.) and with building management, maintenance, and cleaning staff, including quality control, vendor accountability, and delivering feedback\n\n - Work with property management for visitor access and building maintenance requests\n\n - Routinely update and maintain the emergency plan and educate employees on emergency protocols and resources\n\n - Manage office seating plan and assist with office moves and relocations\n\n - Design and deliver inclusive and thoughtful office events and experiences, managing all aspects including planning, communications, food and supply ordering, décor, setup, and cleanup\n\n - Answer workplace tickets in a kind and timely manner\n\n - Support and provide back-up for the Workplace team\n\n - Assist with ad-hoc projects when time allows\n\nYou\n\n - 1-3 years experience in facilities, workplace operations, office administration, or hospitality\n\n - Have experience working in a fast paced work environment\n\n - Proficiency with G-Suite Products\n\n - Genuine passion for supporting others and possesses a positive attitude\n\n - Capable of anticipating others' needs and act with patience, kindness, and firmness\n\n - Excellent written, non-verbal, and verbal communication skills\n\n - Ability to work well with various personality types and are receptive to feedback, while also maintaining a high degree of professionalism and confidentiality\n\n - Ability to learn software quickly\n\n - Excellent organization, planning, and prioritization skills\n\n - Exceptionally strong ownership and can-do attitude with an operational mindset\n\n - Comfortable working autonomously, juggling multiple tasks under tight deadlines, switching gears at the drop of a hat, and having a “no task too small” mentality\n\n - Willingness to jump in where needed, picking up projects and checking things off lists even when it lands on your plate unexpectedly\n\n - An eye for detail with regards to all things from process to projects to space to events\n\n - The ability to maintain a professional and kind game face even when things aren’t going as planned or desire\n\n - A propensity for problem solving quickly and quietly\n\nMental/Physical Qualifications\n\n - Must be able to lift 25 pounds\n\nSalary Range Information\n\nThis is an hourly role, eligible for overtime. The hourly rate for this position has been set based on market data and other factors. However, a hourly rate higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n \n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"$40 – $54 per hour","scrapeableCompensationSalarySummary":null,"compensationTiers":[{"id":"42df85f9-c96b-4fcc-bfdb-6cc664894456","tierSummary":"$40 – $54 per hour","title":null,"additionalInformation":null,"components":[{"id":"74c006d4-0273-48e0-8953-da0c860362da","summary":"$40 – $54 per hour","compensationType":"Salary","interval":"1 HOUR","currencyCode":"USD","minValue":40,"maxValue":54}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 HOUR","currencyCode":"USD","minValue":40,"maxValue":54}]}},{"id":"4803c790-6e11-4e82-ad5e-f07c79290760","title":"Capital Markets & Corporate Development Intern - Summer 2026","department":"G&A","team":"FP&A","employmentType":"Intern","location":"San Francisco Office (Fremont St)","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-05-14T15:23:01.692+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/4803c790-6e11-4e82-ad5e-f07c79290760","applyUrl":"https://jobs.ashbyhq.com/lambda/4803c790-6e11-4e82-ad5e-f07c79290760/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
The Capital Markets & Corporate Development (CMCD) team sits at the center of how Lambda funds and scales its infrastructure. We lead debt and equity capital raises, evaluate strategic transactions, and partner closely with executives, investors, and external advisors to execute high-impact deals.
As a CMCD Intern, you’ll build a centralized source of truth for market comparables across debt, equity, and M&A transactions. This work directly informs live capital raises and strategic decisions. You’ll contribute to real transactions, develop investor-grade materials, and gain exposure to senior stakeholders across the company and external partners.
What You’ll Do
Build and own consolidated databases for debt, equity and transaction comparables to support live deal execution
Evaluate and present potential M&A targets, including preparing supporting financial analyses
Own deal-level financial models including cash flow waterfalls, merger models and potential investment return models
Prepare board-facing materials and analysis to support transaction decisions
Interface with lenders, bankers, advisors, strategic partners and founders
You
Currently pursuing an MBA
Have prior investment banking experience or equivalent (e.g., corporate development, private equity, etc.)
Nice to Have
Experience in TMT coverage, leveraged finance or M&A
Experience executing debt and equity transactions for high-growth and / or capital intensive industries
Salary Range Information
This is an hourly role, eligible for overtime. The hourly rate for this position has been set based on market data and other factors. However, an hourly rate higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\nThe Capital Markets & Corporate Development (CMCD) team sits at the center of how Lambda funds and scales its infrastructure. We lead debt and equity capital raises, evaluate strategic transactions, and partner closely with executives, investors, and external advisors to execute high-impact deals.\n\nAs a CMCD Intern, you’ll build a centralized source of truth for market comparables across debt, equity, and M&A transactions. This work directly informs live capital raises and strategic decisions. You’ll contribute to real transactions, develop investor-grade materials, and gain exposure to senior stakeholders across the company and external partners.\n\n\nWhat You’ll Do\n\n - Build and own consolidated databases for debt, equity and transaction comparables to support live deal execution\n\n - Evaluate and present potential M&A targets, including preparing supporting financial analyses\n\n - Own deal-level financial models including cash flow waterfalls, merger models and potential investment return models\n\n - Prepare board-facing materials and analysis to support transaction decisions\n\n - Interface with lenders, bankers, advisors, strategic partners and founders\n\nYou\n\n - Currently pursuing an MBA\n\n - Have prior investment banking experience or equivalent (e.g., corporate development, private equity, etc.)\n\nNice to Have\n\n - Experience in TMT coverage, leveraged finance or M&A\n\n - Experience executing debt and equity transactions for high-growth and / or capital intensive industries\n\nSalary Range Information\n\nThis is an hourly role, eligible for overtime. The hourly rate for this position has been set based on market data and other factors. However, an hourly rate higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"$41 – $54 per hour","scrapeableCompensationSalarySummary":null,"compensationTiers":[{"id":"b8486e2c-b319-44c4-8be6-601ae406dd75","tierSummary":"$41 – $54 per hour","title":null,"additionalInformation":null,"components":[{"id":"fa90dbc7-6836-4871-923c-c615639c20fb","summary":"$41 – $54 per hour","compensationType":"Salary","interval":"1 HOUR","currencyCode":"USD","minValue":41,"maxValue":54}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 HOUR","currencyCode":"USD","minValue":41,"maxValue":54}]}},{"id":"ed0611f7-7f19-45f4-bef8-56dbae59de15","title":"Staff Software Engineer - Managed Kubernetes","department":"Data Center Business","team":"Managed Orchestration","employmentType":"FullTime","location":"Bellevue, WA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"San Francisco Office (Fremont St)","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}}},{"location":"San Jose Office (Zanker)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}}],"publishedAt":"2026-05-18T22:23:34.756+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"Washington","addressCountry":"United States","addressLocality":"Seattle"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/ed0611f7-7f19-45f4-bef8-56dbae59de15","applyUrl":"https://jobs.ashbyhq.com/lambda/ed0611f7-7f19-45f4-bef8-56dbae59de15/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Francisco, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
About the Role
Lambda is building the AI Cloud of the future. We are seeking a Staff Engineer to help our development of our Managed Kubernetes platform. Think GKE, but purpose-built for AI workloads and running on bare metal. This is a foundational technical leadership role where you will shape the infrastructure that powers the next generation of AI training and inference at scale.
As a Staff Engineer on our Orchestration team, you will collaborate to help drive the technical vision for Lambda's managed orchestration services, including Managed Kubernetes, Managed Slurm on Kubernetes, and higher-level platform services for inference and AIOps. You'll work at the intersection of distributed systems, GPU-accelerated computing, and Cloud Native infrastructure to build systems that are reliable, performant, and elegantly simple for our customers.
This is not a role for someone who just operates Kubernetes; it is a technical leadership role for an engineer who has synthesized the core domains of infrastructure (compute, network, storage, security) and can design holistic solutions across all of them. You'll be working closely with NVIDIA's open-source ecosystem, and partnering with internal teams across the stack to deliver a world-class managed platform.
What You'll Do:
Product Engineering
Drive technical vision for Lambda's Managed Kubernetes bare-metal platform, including control plane scalability, multi-tenancy, cluster lifecycle management, and high availability
Integrate and extend NVIDIA's open-source ecosystem: GPU Operator, Network Operator, DCGM, NCCL, and emerging projects like AICR and Topograph for topology-aware scheduling and placement
Design GPU-aware orchestration systems
Lead development of services that power our managed services
Inform on and help with networking solutions for AI workloads: CNI integration (Cilium, Multus), high-performance fabrics (InfiniBand, RoCE), RDMA, and GPUDirect. You will work closely with our Network team to define and drive requirements
Inform and help with storage architecture requirements for AI workloads. You will partner with Storage teams on what managed K8s, Slurm, and future services need
Build the foundation for Managed Slurm on Kubernetes, enabling traditional HPC workloads to run seamlessly alongside Kubernetes workload
Design higher-level platform services for inference, including model serving infrastructure, autoscaling based on inference load, and multi-model deployment patterns
Design self-healing systems and automation for incident response, root cause analysis, and platform resilience
Lead chaos engineering efforts to validate system behavior under failure conditions at scale
Establish operational excellence for a managed service: upgrade automation, security patching, and zero-downtime maintenance
Cross-Functional Infrastructure Leadership
Serve as the technical bridge between Orchestration and other infrastructure teams (Network, Storage, Security), translating platform requirements into actionable specifications
Drive infrastructure-wide decisions that enable successful managed services. You’re someone who understands what's needed end-to-end, not just at the Kubernetes layer.
Provide input on bare-metal provisioning, network topology, and storage systems to ensure they meet the needs of managed the services being built by the Orchestration organization
Champion consistency and standardization across Lambda's infrastructure stack
Work directly with customers and internal teams to understand existing deployments and chart a path to the managed platform
Technical Leadership
Set technical direction for Kubernetes services across the Orchestration team, influencing roadmap and prioritization
Drive reviews and design sessions, ensuring we build systems that are scalable, maintainable, and aligned with customer needs
Mentor and grow engineers, establishing best practices for Kubernetes development, distributed systems, and Cloud Native engineering
Collaborate cross-functionally with Network, Storage, Security, and Customer Success teams
Engage with NVIDIA and the open-source community to stay current on GPU orchestration technologies and contribute back where appropriate
Represent Lambda externally through technical blog posts, conference talks, and strategic customer engagements
Shape our AIOps vision: design intelligent systems for automated capacity planning, anomaly detection, and predictive maintenance of cloud infrastructure
Who You Are
You are a creative, innovative engineer who operates at high velocity. You don't just solve problems. You find elegant solutions and ship them quickly. You embrace modern tools and AI-assisted development (like Claude Code) to accelerate your productivity and multiply your impact. You're energized by building new things, not maintaining the status quo.
Required Qualifications
10+ years of experience in software engineering, platform engineering, or SRE, with at least 5 years focused on Kubernetes at scale
Expert-level understanding of Kubernetes internals: API machinery, controllers, schedulers, operators, CRDs, CSI, CNI, and the extension patterns that make Kubernetes powerful
Holistic infrastructure expertise: you've synthesized knowledge across compute, networking, storage, and security, not just Kubernetes in isolation. You can build solutions that span the full stack.
Strong software engineering skills in Go (required) and Python; you write production-quality code, not just scripts
Deep experience with GPU orchestration in Kubernetes: NVIDIA GPU Operator, device plugins, DCGM, MIG, time-slicing, and GPU-aware scheduling. Familiarity with NVIDIA Network Operator and GPUDirect is strongly preferred.
Proven track record of technical leadership: driving design decisions across teams, mentoring engineers, and influencing infrastructure direction beyond your immediate scope
Deep experience designing and operating managed services or multi-tenant platforms. You understand what it takes to run infrastructure for external customers
Strong understanding of distributed systems principles: consensus, fault tolerance, consistency models, and graceful degradation
Experience with observability at scale: Prometheus, Grafana, distributed tracing, and building actionable alerting systems
Solid knowledge of Linux systems and networking (L2-L7), including high-performance networking concepts (RDMA, InfiniBand, RoCE)
Experience with infrastructure-as-code and GitOps workflows
Preferred Qualifications
Experience building and operating managed Kubernetes services (GKE, EKS, AKS, or similar) or working on Kubernetes control plane components
Hands-on experience with NVIDIA's open-source ecosystem beyond GPU Operator: Network Operator, NCCL tuning, Topograph, AICR, or similar emerging projects
Familiarity with HPC and traditional job schedulers (Slurm) and Kubernetes-native batch scheduling (KAI, Volcano, Kueue)
Background in confidential computing
Experience migrating customers or workloads from legacy/bespoke infrastructure to standardized platforms
Contributions to CNCF projects, Kubernetes SIGs, or NVIDIA open-source projects
Familiarity with security and compliance in multi-tenant environments: RBAC, Pod Security Standards, network policies, workload isolation
Background in ML infrastructure: training clusters, inference serving, simulation
Why Lambda
Lambda is building the essential infrastructure for the AI era. We're not just another cloud provider: we're a company founded by ML practitioners, for ML practitioners. Our customers include leading AI research labs and enterprises pushing the boundaries of what's possible with artificial intelligence.
What makes this role special:
You'll be building core platform services the world’s largest AI companies will consume
NVIDIA partnership: Deep integration with NVIDIA's GPU and networking stack, working with cutting-edge open-source tooling
Real technical challenges: Massive scale GPU clusters and the unique demands of AI workloads
Cross-stack influence: Shape not just Kubernetes, but the network, storage, and compute infrastructure that supports it
Direct impact: Your work enables AI breakthroughs. Every model trained on Lambda benefits from systems you build
World-class team: Work alongside engineers with deep expertise in ML, systems, and infrastructure
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n \n\n*Note: This position requires presence in our San Francisco, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n \n\nAbout the Role\n\nLambda is building the AI Cloud of the future. We are seeking a Staff Engineer to help our development of our Managed Kubernetes platform. Think GKE, but purpose-built for AI workloads and running on bare metal. This is a foundational technical leadership role where you will shape the infrastructure that powers the next generation of AI training and inference at scale.\n\nAs a Staff Engineer on our Orchestration team, you will collaborate to help drive the technical vision for Lambda's managed orchestration services, including Managed Kubernetes, Managed Slurm on Kubernetes, and higher-level platform services for inference and AIOps. You'll work at the intersection of distributed systems, GPU-accelerated computing, and Cloud Native infrastructure to build systems that are reliable, performant, and elegantly simple for our customers.\n\nThis is not a role for someone who just operates Kubernetes; it is a technical leadership role for an engineer who has synthesized the core domains of infrastructure (compute, network, storage, security) and can design holistic solutions across all of them. You'll be working closely with NVIDIA's open-source ecosystem, and partnering with internal teams across the stack to deliver a world-class managed platform.\n\n \n\nWhat You'll Do:\n\nProduct Engineering\n\n - Drive technical vision for Lambda's Managed Kubernetes bare-metal platform, including control plane scalability, multi-tenancy, cluster lifecycle management, and high availability\n\n - Integrate and extend NVIDIA's open-source ecosystem: GPU Operator, Network Operator, DCGM, NCCL, and emerging projects like AICR and Topograph for topology-aware scheduling and placement\n\n - Design GPU-aware orchestration systems\n\n - Lead development of services that power our managed services\n\n - Inform on and help with networking solutions for AI workloads: CNI integration (Cilium, Multus), high-performance fabrics (InfiniBand, RoCE), RDMA, and GPUDirect. You will work closely with our Network team to define and drive requirements\n\n - Inform and help with storage architecture requirements for AI workloads. You will partner with Storage teams on what managed K8s, Slurm, and future services need\n\n - Build the foundation for Managed Slurm on Kubernetes, enabling traditional HPC workloads to run seamlessly alongside Kubernetes workload\n\n - Design higher-level platform services for inference, including model serving infrastructure, autoscaling based on inference load, and multi-model deployment patterns\n\n - Design self-healing systems and automation for incident response, root cause analysis, and platform resilience\n\n - Lead chaos engineering efforts to validate system behavior under failure conditions at scale\n\n - Establish operational excellence for a managed service: upgrade automation, security patching, and zero-downtime maintenance\n\nCross-Functional Infrastructure Leadership\n\n - Serve as the technical bridge between Orchestration and other infrastructure teams (Network, Storage, Security), translating platform requirements into actionable specifications\n\n - Drive infrastructure-wide decisions that enable successful managed services. You’re someone who understands what's needed end-to-end, not just at the Kubernetes layer.\n\n - Provide input on bare-metal provisioning, network topology, and storage systems to ensure they meet the needs of managed the services being built by the Orchestration organization\n\n - Champion consistency and standardization across Lambda's infrastructure stack\n\n - Work directly with customers and internal teams to understand existing deployments and chart a path to the managed platform\n\nTechnical Leadership\n\n - Set technical direction for Kubernetes services across the Orchestration team, influencing roadmap and prioritization\n\n - Drive reviews and design sessions, ensuring we build systems that are scalable, maintainable, and aligned with customer needs\n\n - Mentor and grow engineers, establishing best practices for Kubernetes development, distributed systems, and Cloud Native engineering\n\n - Collaborate cross-functionally with Network, Storage, Security, and Customer Success teams\n\n - Engage with NVIDIA and the open-source community to stay current on GPU orchestration technologies and contribute back where appropriate\n\n - Represent Lambda externally through technical blog posts, conference talks, and strategic customer engagements\n\n - Shape our AIOps vision: design intelligent systems for automated capacity planning, anomaly detection, and predictive maintenance of cloud infrastructure\n\nWho You Are\n\nYou are a creative, innovative engineer who operates at high velocity. You don't just solve problems. You find elegant solutions and ship them quickly. You embrace modern tools and AI-assisted development (like Claude Code) to accelerate your productivity and multiply your impact. You're energized by building new things, not maintaining the status quo.\n\nRequired Qualifications\n\n - 10+ years of experience in software engineering, platform engineering, or SRE, with at least 5 years focused on Kubernetes at scale\n\n - Expert-level understanding of Kubernetes internals: API machinery, controllers, schedulers, operators, CRDs, CSI, CNI, and the extension patterns that make Kubernetes powerful\n\n - Holistic infrastructure expertise: you've synthesized knowledge across compute, networking, storage, and security, not just Kubernetes in isolation. You can build solutions that span the full stack.\n\n - Strong software engineering skills in Go (required) and Python; you write production-quality code, not just scripts\n\n - Deep experience with GPU orchestration in Kubernetes: NVIDIA GPU Operator, device plugins, DCGM, MIG, time-slicing, and GPU-aware scheduling. Familiarity with NVIDIA Network Operator and GPUDirect is strongly preferred.\n\n - Proven track record of technical leadership: driving design decisions across teams, mentoring engineers, and influencing infrastructure direction beyond your immediate scope\n\n - Deep experience designing and operating managed services or multi-tenant platforms. You understand what it takes to run infrastructure for external customers\n\n - Strong understanding of distributed systems principles: consensus, fault tolerance, consistency models, and graceful degradation\n\n - Experience with observability at scale: Prometheus, Grafana, distributed tracing, and building actionable alerting systems\n\n - Solid knowledge of Linux systems and networking (L2-L7), including high-performance networking concepts (RDMA, InfiniBand, RoCE)\n\n - Experience with infrastructure-as-code and GitOps workflows\n\nPreferred Qualifications\n\n - Experience building and operating managed Kubernetes services (GKE, EKS, AKS, or similar) or working on Kubernetes control plane components\n\n - Hands-on experience with NVIDIA's open-source ecosystem beyond GPU Operator: Network Operator, NCCL tuning, Topograph, AICR, or similar emerging projects\n\n - Familiarity with HPC and traditional job schedulers (Slurm) and Kubernetes-native batch scheduling (KAI, Volcano, Kueue)\n\n - Background in confidential computing\n\n - Experience migrating customers or workloads from legacy/bespoke infrastructure to standardized platforms\n\n - Contributions to CNCF projects, Kubernetes SIGs, or NVIDIA open-source projects\n\n - Familiarity with security and compliance in multi-tenant environments: RBAC, Pod Security Standards, network policies, workload isolation\n\n - Background in ML infrastructure: training clusters, inference serving, simulation\n\nWhy Lambda\n\nLambda is building the essential infrastructure for the AI era. We're not just another cloud provider: we're a company founded by ML practitioners, for ML practitioners. Our customers include leading AI research labs and enterprises pushing the boundaries of what's possible with artificial intelligence.\n\nWhat makes this role special:\n\n - You'll be building core platform services the world’s largest AI companies will consume\n\n - NVIDIA partnership: Deep integration with NVIDIA's GPU and networking stack, working with cutting-edge open-source tooling\n\n - Real technical challenges: Massive scale GPU clusters and the unique demands of AI workloads\n\n - Cross-stack influence: Shape not just Kubernetes, but the network, storage, and compute infrastructure that supports it\n\n - Direct impact: Your work enables AI breakthroughs. Every model trained on Lambda benefits from systems you build\n\n - World-class team: Work alongside engineers with deep expertise in ML, systems, and infrastructure\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n \n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"$314K – $465K • Multiple Ranges","scrapeableCompensationSalarySummary":"$314K - $465K","compensationTiers":[{"id":"7914c8d1-fc14-418f-8792-b728b82ac52a","tierSummary":"$314K – $419K","title":"Bellevue","additionalInformation":null,"components":[{"id":"9799ca58-c12f-4fef-8d86-45085d1636b4","summary":"$314K – $419K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":314000,"maxValue":419000}]},{"id":"6cad91ef-d474-4497-ba74-152999ec5743","tierSummary":"$349K – $465K","title":"San Francisco / San Jose","additionalInformation":null,"components":[{"id":"e728ba0a-916d-42fe-b578-bd95d467f95d","summary":"$349K – $465K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":349000,"maxValue":465000}]}],"summaryComponents":[{"minValue":314000,"maxValue":465000,"currencyCode":"USD","interval":"1 YEAR","compensationType":"Salary"}]}},{"id":"0663f04c-097d-414f-b0a0-414a7cf153d6","title":"Security Engineering Intern - Summer 2026","department":"Data Center Business","team":"Security","employmentType":"Intern","location":"San Francisco Office (Fremont St)","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-05-14T15:29:31.283+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/0663f04c-097d-414f-b0a0-414a7cf153d6","applyUrl":"https://jobs.ashbyhq.com/lambda/0663f04c-097d-414f-b0a0-414a7cf153d6/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
About the Role
Lambda Security protects some of the world's most valuable digital assets: invaluable training data, model weights representing immense computational investments, and the sensitive inputs required to leverage best of breed AI models. We're responsible for securing every byte that powers breakthrough artificial intelligence.
As a Software Engineering Intern on the Security team, you'll spend the summer shipping production security detections against Lambda's real log data: code that fires on real events and routes to a real on-call team. This is not a sandbox project. The detections you build will be the first line of warning when something looks wrong in our environment.
You'll work alongside a senior engineer mentor on code review, security concept training, and unblocking your work. Between those sessions, your primary partner is a frontier LLM: you'll use it to learn log schemas, reason through threat models, and accelerate your way through code you've never written before. We expect interns to drive their own learning and use AI tools fluently; the bar for what a great junior engineer can ship has changed, and this role is designed around that change.
The work spans LLM-based classifiers for sensitive data exposure, identity and access pattern detection, and the security infrastructure that everything else depends on. You and your mentor will pick the specific projects together, prioritizing where the data is richest and the business value is clearest.
If you love writing code, are excited about working with AI tools to solve problems you couldn't solve alone, and find the idea of protecting AI infrastructure genuinely interesting - even if you've never taken a security class - we'd love to hear from you.
We value diverse backgrounds, experiences, and skills, and we are excited to hear from candidates who can bring unique perspectives to our team. If you do not exactly meet this description but believe you may be a good fit, please still apply and help us understand your readiness for this role.
What You’ll Do
Ship real production detections you develop against Lambda's real log data over the course of the summer, chosen with your mentor from a menu of high-value security gaps.
Use frontier LLMs as your primary partner for learning unfamiliar codebases, reading log schemas, reasoning through threat models, and accelerating your output as a working software engineer.
Build LLM-powered classifiers and rule-based detections that turn raw log data into actionable alerts for the Security team.
Work closely with your mentor in code reviews and threat hunting, and self-direct between them, using AI tools to investigate and sharpen your questions before bringing them to a human.
Document what you build clearly enough that the on-call engineer who responds to your alert at 2am understands what it means and what to do.
Present your work at the end of the summer to the security team and company leadership, walking through what you shipped, what you learned, and what you'd build next.
What We’re Looking For
Currently enrolled in a Bachelor's or Master's program in Computer Science or a related field, returning to school after the summer.
Independent technical projects you've shipped: side projects, open source contributions, hackathons, research code, anything where you scoped a problem and built a working solution. Resumes that only list classwork are unlikely to stand out.
Fluency writing code in at least one general-purpose language (Go or Python preferred, but we care more about your ability to learn and leverage an LLM than your starting stack).
Comfort using frontier LLMs as a coding partner. You can tell when the model is wrong, push back on bad suggestions, and use it to accelerate learning rather than replace it.
Ability to take a fuzzy problem (\"we need to know when someone overshares a sensitive document\") and turn it into a scoped, shippable piece of work without needing a ticket pre-written for you.
Curiosity about how systems get attacked and defended, even if you've never formally studied security. We can teach you security; we cannot teach curiosity.
Strong written communication. Much of the work is reasoning in writing, asking sharp questions, and leaving behind code and documentation that the next person can use.
Nice to Have
Prior software engineering internship.
Familiarity with cloud infrastructure (AWS, GCP, or similar), command-line environments, or systems-level programming.
You’ve built something with AI assistance that pushed beyond what you could have done alone.
Experience working with log data, structured event data, or building anything that processes streams of records.
Prior exposure to security concepts (a CTF you played, a security class you took, a side project you built, a security mistake you made and learned from, etc.).
Coursework or projects involving machine learning, data classification, or applied AI.
Salary Range Information
This is an hourly role, eligible for overtime. The hourly rate for this position has been set based on market data and other factors. However, a hourly rate higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n\n*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\nAbout the Role\n\nLambda Security protects some of the world's most valuable digital assets: invaluable training data, model weights representing immense computational investments, and the sensitive inputs required to leverage best of breed AI models. We're responsible for securing every byte that powers breakthrough artificial intelligence.\n\nAs a Software Engineering Intern on the Security team, you'll spend the summer shipping production security detections against Lambda's real log data: code that fires on real events and routes to a real on-call team. This is not a sandbox project. The detections you build will be the first line of warning when something looks wrong in our environment.\n\nYou'll work alongside a senior engineer mentor on code review, security concept training, and unblocking your work. Between those sessions, your primary partner is a frontier LLM: you'll use it to learn log schemas, reason through threat models, and accelerate your way through code you've never written before. We expect interns to drive their own learning and use AI tools fluently; the bar for what a great junior engineer can ship has changed, and this role is designed around that change.\n\nThe work spans LLM-based classifiers for sensitive data exposure, identity and access pattern detection, and the security infrastructure that everything else depends on. You and your mentor will pick the specific projects together, prioritizing where the data is richest and the business value is clearest.\n\nIf you love writing code, are excited about working with AI tools to solve problems you couldn't solve alone, and find the idea of protecting AI infrastructure genuinely interesting - even if you've never taken a security class - we'd love to hear from you.\n\nWe value diverse backgrounds, experiences, and skills, and we are excited to hear from candidates who can bring unique perspectives to our team. If you do not exactly meet this description but believe you may be a good fit, please still apply and help us understand your readiness for this role.\n\n\n\nWhat You’ll Do\n\n - Ship real production detections you develop against Lambda's real log data over the course of the summer, chosen with your mentor from a menu of high-value security gaps.\n\n - Use frontier LLMs as your primary partner for learning unfamiliar codebases, reading log schemas, reasoning through threat models, and accelerating your output as a working software engineer.\n\n - Build LLM-powered classifiers and rule-based detections that turn raw log data into actionable alerts for the Security team.\n\n - Work closely with your mentor in code reviews and threat hunting, and self-direct between them, using AI tools to investigate and sharpen your questions before bringing them to a human.\n\n - Document what you build clearly enough that the on-call engineer who responds to your alert at 2am understands what it means and what to do.\n\n - Present your work at the end of the summer to the security team and company leadership, walking through what you shipped, what you learned, and what you'd build next.\n\nWhat We’re Looking For\n\n - Currently enrolled in a Bachelor's or Master's program in Computer Science or a related field, returning to school after the summer.\n\n - Independent technical projects you've shipped: side projects, open source contributions, hackathons, research code, anything where you scoped a problem and built a working solution. Resumes that only list classwork are unlikely to stand out.\n\n - Fluency writing code in at least one general-purpose language (Go or Python preferred, but we care more about your ability to learn and leverage an LLM than your starting stack).\n\n - Comfort using frontier LLMs as a coding partner. You can tell when the model is wrong, push back on bad suggestions, and use it to accelerate learning rather than replace it.\n\n - Ability to take a fuzzy problem (\"we need to know when someone overshares a sensitive document\") and turn it into a scoped, shippable piece of work without needing a ticket pre-written for you.\n\n - Curiosity about how systems get attacked and defended, even if you've never formally studied security. We can teach you security; we cannot teach curiosity.\n\n - Strong written communication. Much of the work is reasoning in writing, asking sharp questions, and leaving behind code and documentation that the next person can use.\n\nNice to Have\n\n - Prior software engineering internship.\n\n - Familiarity with cloud infrastructure (AWS, GCP, or similar), command-line environments, or systems-level programming.\n\n - You’ve built something with AI assistance that pushed beyond what you could have done alone.\n\n - Experience working with log data, structured event data, or building anything that processes streams of records.\n\n - Prior exposure to security concepts (a CTF you played, a security class you took, a side project you built, a security mistake you made and learned from, etc.).\n\n - Coursework or projects involving machine learning, data classification, or applied AI.\n\nSalary Range Information\n\nThis is an hourly role, eligible for overtime. The hourly rate for this position has been set based on market data and other factors. However, a hourly rate higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"$47 – $63 per hour","scrapeableCompensationSalarySummary":null,"compensationTiers":[{"id":"f268b2d6-ad21-4c76-8e33-3db3e3f53056","tierSummary":"$47 – $63 per hour","title":null,"additionalInformation":null,"components":[{"id":"739901eb-2c35-4e47-bbf1-aac738b81f19","summary":"$47 – $63 per hour","compensationType":"Salary","interval":"1 HOUR","currencyCode":"USD","minValue":47,"maxValue":63}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 HOUR","currencyCode":"USD","minValue":47,"maxValue":63}]}},{"id":"e0e555b9-a009-43c4-bd64-57e74cfd67f1","title":"Field Engineering Intern - Summer 2026","department":"Data Center Business","team":"Sales Engineering","employmentType":"Intern","location":"San Francisco Office (Second St)","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-05-20T17:40:31.618+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/e0e555b9-a009-43c4-bd64-57e74cfd67f1","applyUrl":"https://jobs.ashbyhq.com/lambda/e0e555b9-a009-43c4-bd64-57e74cfd67f1/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
The Field Engineering team is a group of ML engineers working hands-on with customers to optimize, deploy, and scale ML workloads on the most advanced GPU infrastructure available. We partner with enterprise, YC, and on-demand customers on some of the most demanding ML use cases in the industry and we're growing.
This summer, we're looking for an ML engineering intern to embed with the team, dig into real customer optimization work, and help build the foundation that lets us scale. If you want hands-on experience at the intersection of cutting-edge ML and real-world customer impact, this is the role.
What You'll Do
Learn directly from ML engineers who made the transition to customer-facing field engineering, gaining firsthand exposure to how deep ML expertise translates into real-world customer impact
Work on real, cutting-edge customer workloads running on the most advanced GPU infrastructure available, supporting customer onboarding, optimization engagements, and production deployments across some of the most demanding ML use cases in the industry
Review prior optimization work, evaluate strategies against current best practices, and recommend improvements
Develop a structured optimization playbook and case studies that capture the team's methodology and quantify the value of field engineering work in a repeatable, scalable format
Present your work to company leadership at the close of the engagement
You
Currently pursuing or just completed a Master's degree in Computer Science, Machine Learning, or a related field
Strong Python skills with hands-on experience in ML inference, model optimization, benchmarking / evaluations, or applied ML deployment.
Have a solid background and general knowledge of machine learning model architecture
You have the skillset to be able to write code (without any AI assistance) to build an ML model and debug from scratch.
You understand how models run in production – MLOps tools, open-source models, orchestration strategies.
You have a strong understanding of fine-tuning models.
Are curious and keep up to date with new models, techniques, strategies, and releases in machine learning and are driven to bring these insights to your work.
Can write clearly for both technical and non-technical audiences, translating results is as important as producing them
Comfortable using Claude or equivalent AI tools as a core part of your daily workflow
Self-directed: given a scoped problem and a mentor, you can break it into milestones and drive it to completion
Nice to Have
Familiarity with LLM inference optimization frameworks (vLLM, sgLang, Modular, TensorRT-LLM, or similar)
Are able to write tests to create layer-wise benchmarking for ML model performance
Familiarity with networking, storage, and various orchestration tools / methods.
Prior internship at an ML infrastructure, cloud, or GPU hardware company
Interest in or prior exposure to customer-facing engineering, solutions engineering, or developer relations
Salary Range Information
This is an hourly role, eligible for overtime. The hourly rate for this position has been set based on market data and other factors. However, a hourly rate higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\nThe Field Engineering team is a group of ML engineers working hands-on with customers to optimize, deploy, and scale ML workloads on the most advanced GPU infrastructure available. We partner with enterprise, YC, and on-demand customers on some of the most demanding ML use cases in the industry and we're growing.\n\nThis summer, we're looking for an ML engineering intern to embed with the team, dig into real customer optimization work, and help build the foundation that lets us scale. If you want hands-on experience at the intersection of cutting-edge ML and real-world customer impact, this is the role.\n\n\n\nWhat You'll Do\n\n - Learn directly from ML engineers who made the transition to customer-facing field engineering, gaining firsthand exposure to how deep ML expertise translates into real-world customer impact\n\n - Work on real, cutting-edge customer workloads running on the most advanced GPU infrastructure available, supporting customer onboarding, optimization engagements, and production deployments across some of the most demanding ML use cases in the industry\n\n - Review prior optimization work, evaluate strategies against current best practices, and recommend improvements\n\n - Develop a structured optimization playbook and case studies that capture the team's methodology and quantify the value of field engineering work in a repeatable, scalable format\n\n - Present your work to company leadership at the close of the engagement\n\nYou\n\n - Currently pursuing or just completed a Master's degree in Computer Science, Machine Learning, or a related field\n\n - Strong Python skills with hands-on experience in ML inference, model optimization, benchmarking / evaluations, or applied ML deployment.\n\n - Have a solid background and general knowledge of machine learning model architecture\n\n - You have the skillset to be able to write code (without any AI assistance) to build an ML model and debug from scratch.\n\n - You understand how models run in production – MLOps tools, open-source models, orchestration strategies.\n\n - You have a strong understanding of fine-tuning models.\n\n - Are curious and keep up to date with new models, techniques, strategies, and releases in machine learning and are driven to bring these insights to your work.\n\n - Can write clearly for both technical and non-technical audiences, translating results is as important as producing them\n\n - Comfortable using Claude or equivalent AI tools as a core part of your daily workflow\n\n - Self-directed: given a scoped problem and a mentor, you can break it into milestones and drive it to completion\n\nNice to Have\n\n - Familiarity with LLM inference optimization frameworks (vLLM, sgLang, Modular, TensorRT-LLM, or similar)\n\n - Are able to write tests to create layer-wise benchmarking for ML model performance\n\n - Familiarity with networking, storage, and various orchestration tools / methods.\n\n - Prior internship at an ML infrastructure, cloud, or GPU hardware company\n\n - Interest in or prior exposure to customer-facing engineering, solutions engineering, or developer relations\n\nSalary Range Information\n\nThis is an hourly role, eligible for overtime. The hourly rate for this position has been set based on market data and other factors. However, a hourly rate higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"$51 – $65 per hour","scrapeableCompensationSalarySummary":null,"compensationTiers":[{"id":"5b47df8c-b5d4-40a7-b7a8-14edf9f75e0b","tierSummary":"$51 – $65 per hour","title":null,"additionalInformation":null,"components":[{"id":"6441a7de-a5d2-45b4-9693-7c104459f2ef","summary":"$51 – $65 per hour","compensationType":"Salary","interval":"1 HOUR","currencyCode":"USD","minValue":51,"maxValue":65}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 HOUR","currencyCode":"USD","minValue":51,"maxValue":65}]}},{"id":"7efdc21f-5069-4dbc-a58d-f7bebf4aade9","title":"Counsel - Corporate Finance","department":"G&A","team":"Legal","employmentType":"FullTime","location":"New York, NY","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"San Francisco Office (Second St)","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}}}],"publishedAt":"2026-05-29T18:18:19.399+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/7efdc21f-5069-4dbc-a58d-f7bebf4aade9","applyUrl":"https://jobs.ashbyhq.com/lambda/7efdc21f-5069-4dbc-a58d-f7bebf4aade9/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
Note: This position requires presence in our San Francisco or upcoming New York City office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
What You’ll Do
As Counsel, Corporate Finance at Lambda, you will perform a broad range of debt finance and capital formation legal work. You’ll be a legal partner to Corporate Development, Capital Markets, Finance and Treasury for designing, negotiating and administering Lambda’s capital formation strategy and debt stack - the financing engine behind our GPU deployments and AI data center expansion. You’ll also collaborate with our Data Center and Commercial teams where data center and/or customer arrangements intersect with financing. You will report to Lambda’s Associate General Counsel, Strategic Finance and Partnerships.
Finance Strategy & Transactions:
Manage legal workstreams for credit facilities and other complex financing structures, including term loans and revolvers, SPV/bankruptcy-remote financings, equipment financing/leases, asset-backed loans, project financings, and real estate financings, with a particular focus on facilities deployed against Lambda's GPU fleet and AI data center buildouts.
Draft, review, and negotiate documents (e.g., term sheets, credit agreements, guarantees, security agreements, intercreditor/subordination agreements, commitment letters, fee letters, and amendments/waivers).
Coordinate with internal stakeholders (Corporate Development, Capital Markets, FP&A, Treasury, Accounting, Tax, Executive team and others) and manage outside counsel to drive efficiently to signing and close.
Debt Administration & Compliance:
In collaboration with crossfunctional partners, build and own a lender deliverables and compliance calendar; prepare and/or review periodic compliance certificates, officer’s certificates and required information packages.
Maintain the collateral and lender reporting package - collateral coverage, lien perfection and account control hygiene, insurance compliance, financial covenant calculations, and rating agency materials.
Manage ongoing consent, waiver and amendment workstreams, and proactively flag covenant and lender-approval implications of contemplated business actions.
Process Improvement: Monitor legal and market developments affecting GPU and data center financing; create playbooks, templates, trackers, and closing checklists; streamline financing processes, covenant monitoring, and data room hygiene.
As‑Needed Legal Support: Collaborate on related corporate, finance, data center infrastructure or tax matters that intersect with capital formation and debt financing; pitch in on special projects as priorities evolve.
You
JD from an accredited law school and admission to practice in at least one U.S. jurisdiction (New York or California bar preferred or in-house registration).
4+ years of law firm experience (in-house experience a plus) with demonstrated strength in supporting complex debt finance transactions and secured transactions.
Experience coordinating multi‑stakeholder closings and running diligence processes.
Exceptional drafting and negotiation skills, with an ability to balance legal risk against business and commercial objectives - particularly in financings where legal terms shape operating mechanics (collateral identification, customer-contract interfaces, deployment cadence).
Strong interpersonal and communication skills; adept at collaborating with stakeholders at all levels.
Proactive mindset, meticulous attention to detail, and ability to manage competing priorities in a fast-paced environment.
Nice to Have
Direct experience on GPU or AI compute financing transactions (e.g., asset-backed or SPV-level facilities collateralized by GPU assets).
Project finance, asset‑based lending and equipment financing exposure, ideally in AI infrastructure, digital infrastructure, or other capital‑intensive tech.
Experience advising late-stage private or pre-IPO companies.
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\nNote: This position requires presence in our San Francisco or upcoming New York City office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\n\nWhat You’ll Do\n\nAs Counsel, Corporate Finance at Lambda, you will perform a broad range of debt finance and capital formation legal work. You’ll be a legal partner to Corporate Development, Capital Markets, Finance and Treasury for designing, negotiating and administering Lambda’s capital formation strategy and debt stack - the financing engine behind our GPU deployments and AI data center expansion. You’ll also collaborate with our Data Center and Commercial teams where data center and/or customer arrangements intersect with financing. You will report to Lambda’s Associate General Counsel, Strategic Finance and Partnerships.\n\n - Finance Strategy & Transactions:\n \n - Manage legal workstreams for credit facilities and other complex financing structures, including term loans and revolvers, SPV/bankruptcy-remote financings, equipment financing/leases, asset-backed loans, project financings, and real estate financings, with a particular focus on facilities deployed against Lambda's GPU fleet and AI data center buildouts.\n \n - Draft, review, and negotiate documents (e.g., term sheets, credit agreements, guarantees, security agreements, intercreditor/subordination agreements, commitment letters, fee letters, and amendments/waivers).\n \n - Coordinate with internal stakeholders (Corporate Development, Capital Markets, FP&A, Treasury, Accounting, Tax, Executive team and others) and manage outside counsel to drive efficiently to signing and close.\n\n - Debt Administration & Compliance:\n \n - In collaboration with crossfunctional partners, build and own a lender deliverables and compliance calendar; prepare and/or review periodic compliance certificates, officer’s certificates and required information packages.\n \n - Maintain the collateral and lender reporting package - collateral coverage, lien perfection and account control hygiene, insurance compliance, financial covenant calculations, and rating agency materials.\n \n - Manage ongoing consent, waiver and amendment workstreams, and proactively flag covenant and lender-approval implications of contemplated business actions.\n\n - Process Improvement: Monitor legal and market developments affecting GPU and data center financing; create playbooks, templates, trackers, and closing checklists; streamline financing processes, covenant monitoring, and data room hygiene.\n\n - As‑Needed Legal Support: Collaborate on related corporate, finance, data center infrastructure or tax matters that intersect with capital formation and debt financing; pitch in on special projects as priorities evolve.\n\nYou\n\n - JD from an accredited law school and admission to practice in at least one U.S. jurisdiction (New York or California bar preferred or in-house registration).\n\n - 4+ years of law firm experience (in-house experience a plus) with demonstrated strength in supporting complex debt finance transactions and secured transactions.\n\n - Experience coordinating multi‑stakeholder closings and running diligence processes.\n\n - Exceptional drafting and negotiation skills, with an ability to balance legal risk against business and commercial objectives - particularly in financings where legal terms shape operating mechanics (collateral identification, customer-contract interfaces, deployment cadence).\n\n - Strong interpersonal and communication skills; adept at collaborating with stakeholders at all levels.\n\n - Proactive mindset, meticulous attention to detail, and ability to manage competing priorities in a fast-paced environment.\n\nNice to Have\n\n - Direct experience on GPU or AI compute financing transactions (e.g., asset-backed or SPV-level facilities collateralized by GPU assets).\n\n - Project finance, asset‑based lending and equipment financing exposure, ideally in AI infrastructure, digital infrastructure, or other capital‑intensive tech.\n\n - Experience advising late-stage private or pre-IPO companies.\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"$185K – $300K • Multiple Ranges","scrapeableCompensationSalarySummary":"$185K - $300K","compensationTiers":[{"id":"e0c7b91b-bb47-4d56-8d68-6c47343155d0","tierSummary":"$185K – $300K","title":"New York, NY","additionalInformation":null,"components":[{"id":"d4268e5a-05b8-4d90-bfd0-01fc795f6597","summary":"$185K – $300K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":185000,"maxValue":300000}]},{"id":"6a0a1a38-f892-43e3-8e6a-769512743bbc","tierSummary":"$185K – $300K","title":"San Francisco","additionalInformation":null,"components":[{"id":"a79d2932-59fd-46ab-ac18-5e34714016b4","summary":"$185K – $300K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":185000,"maxValue":300000}]}],"summaryComponents":[{"minValue":185000,"maxValue":300000,"currencyCode":"USD","interval":"1 YEAR","compensationType":"Salary"}]}},{"id":"e8395538-23a5-4c40-9a11-3c5d21d93b0d","title":"Warehouse Manager","department":"Data Center Business","team":"RMA / Logistics","employmentType":"FullTime","location":"San Jose Office (Zanker)","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-06-02T16:25:39.357+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/e8395538-23a5-4c40-9a11-3c5d21d93b0d","applyUrl":"https://jobs.ashbyhq.com/lambda/e8395538-23a5-4c40-9a11-3c5d21d93b0d/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Jose office location 5 days per week.
Lambda is seeking an experienced and hands-on Warehouse Manager to lead day-to-day warehouse operations at our San Jose facility. This role is responsible for all aspects of stocking, picking, inventory control, order fulfillment, and team execution, ensuring the warehouse runs smoothly, safely, and at the pace our business demands. The ideal candidate brings a strong commitment to safety culture and OSHA compliance, and understands that operational excellence starts with a safe working environment.
What You’ll Do
Lead daily warehouse operations including receiving, putaway, picking, staging, packaging, and internal transfers
Manage accurate handling and movement of high-value materials such as GPUs, servers, and networking components
Design and optimize warehouse layout, racking systems, and storage strategies for improved space utilization and efficiency
Develop and implement warehouse SOPs for material movement, inventory transactions, and physical control
Own and drive cycle count programs and physical inventory audits in coordination with finance and accounting
Ensure timely and accurate ERP transactions (NetSuite preferred) for inventory movement and tracking
Enforce safety standards and ensure full OSHA compliance across all warehouse activities, equipment, and personnel
Conduct regular safety inspections, toolbox talks, and incident reporting — fostering a culture where safety is non-negotiable
Maintain a clean, organized, and audit-ready warehouse environment in line with company and regulatory standards
Monitor and improve warehouse KPIs related to inventory accuracy, order fulfillment, and throughput
Identify and lead continuous improvement projects focused on warehouse process optimization and scalability
Train, mentor, and manage warehouse team members to ensure operational excellence and accountability
You
5+ years of experience in warehouse and materials management, preferably in high-tech or hardware environments
Proven experience in warehouse layout planning, space optimization, and process improvement
Strong understanding of inventory control principles, warehouse systems, and ERP software (NetSuite a plus)
Excellent organizational, leadership, and cross-functional collaboration skills
Ability to lift up to 50 lbs and operate warehouse equipment (forklift certification preferred)
Working knowledge of OSHA regulations, safety compliance requirements, and warehouse safety best practices
Strong attention to detail and commitment to operational discipline
Nice to Have
Experience in data center, electronics, or hardware deployment environments
Familiarity with lean warehousing, 5S, or continuous improvement methodologies
Exposure to fixed asset tracking and audit support processes
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Jose office location 5 days per week.\n\n\nLambda is seeking an experienced and hands-on Warehouse Manager to lead day-to-day warehouse operations at our San Jose facility. This role is responsible for all aspects of stocking, picking, inventory control, order fulfillment, and team execution, ensuring the warehouse runs smoothly, safely, and at the pace our business demands. The ideal candidate brings a strong commitment to safety culture and OSHA compliance, and understands that operational excellence starts with a safe working environment.\n\nWhat You’ll Do\n\n - Lead daily warehouse operations including receiving, putaway, picking, staging, packaging, and internal transfers\n\n - Manage accurate handling and movement of high-value materials such as GPUs, servers, and networking components\n\n - Design and optimize warehouse layout, racking systems, and storage strategies for improved space utilization and efficiency\n\n - Develop and implement warehouse SOPs for material movement, inventory transactions, and physical control\n\n - Own and drive cycle count programs and physical inventory audits in coordination with finance and accounting\n\n - Ensure timely and accurate ERP transactions (NetSuite preferred) for inventory movement and tracking\n\n - Enforce safety standards and ensure full OSHA compliance across all warehouse activities, equipment, and personnel\n\n - Conduct regular safety inspections, toolbox talks, and incident reporting — fostering a culture where safety is non-negotiable\n\n - Maintain a clean, organized, and audit-ready warehouse environment in line with company and regulatory standards\n\n - Monitor and improve warehouse KPIs related to inventory accuracy, order fulfillment, and throughput\n\n - Identify and lead continuous improvement projects focused on warehouse process optimization and scalability\n\n - Train, mentor, and manage warehouse team members to ensure operational excellence and accountability\n\nYou\n\n - 5+ years of experience in warehouse and materials management, preferably in high-tech or hardware environments\n\n - Proven experience in warehouse layout planning, space optimization, and process improvement\n\n - Strong understanding of inventory control principles, warehouse systems, and ERP software (NetSuite a plus)\n\n - Excellent organizational, leadership, and cross-functional collaboration skills\n\n - Ability to lift up to 50 lbs and operate warehouse equipment (forklift certification preferred)\n\n - Working knowledge of OSHA regulations, safety compliance requirements, and warehouse safety best practices\n\n - Strong attention to detail and commitment to operational discipline\n\nNice to Have\n\n - Experience in data center, electronics, or hardware deployment environments\n\n - Familiarity with lean warehousing, 5S, or continuous improvement methodologies\n\n - Exposure to fixed asset tracking and audit support processes\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"$124K – $165K","scrapeableCompensationSalarySummary":"$124K - $165K","compensationTiers":[{"id":"c08e9d88-4c14-4b01-9d7c-ec604b055cb0","tierSummary":"$124K – $165K","title":null,"additionalInformation":null,"components":[{"id":"d5336c94-fb0c-4689-89ed-0ed9d87f03bc","summary":"$124K – $165K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":124000,"maxValue":165000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":124000,"maxValue":165000}]}},{"id":"9c964b0d-984b-4220-a1ee-ea237a4f14ea","title":"Data Center Electrical Modeling Intern - 2026","department":"Data Center Business","team":"HPC Architecture","employmentType":"Intern","location":"San Francisco Office (Fremont St)","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-05-26T16:43:53.689+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/9c964b0d-984b-4220-a1ee-ea237a4f14ea","applyUrl":"https://jobs.ashbyhq.com/lambda/9c964b0d-984b-4220-a1ee-ea237a4f14ea/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
Lambda is seeking a Data Center Electrical Modeling Intern who will help with modeling electrical systems at Lambda’s existing and future data center sites.
What You’ll Do
Power Systems Analysis (50%) – Assist in data collection and field verification to support accurate as-built modeling of existing sites. Perform load flow, short circuit, arc flash, and relay coordination studies on existing and future data center sites. Collaborate with team members to identify and resolve power system issues identified through modeling. Prepare technical reports, one-line diagrams, and documentation summarizing study results.
New Product Introduction (20%) – Support design and layout of emerging electrical designs and systems; exploring new manufacturers and electrical architectures.
Delivery & Commissioning (15%) – Participate in co-location delivery reviews, site visits, witnessing on-site commissioning, and final acceptance.
Professional Development (15%) – Broaden your technical range through structured mentorship, expanding into advanced EE domains and next-generation electrical infrastructure.
You
Progress towards a Bachelors/Masters degree in Electrical Power Engineering or equivalent.
Understanding of Electrical Power Engineering Theory
Hands-on experience with oscilloscopes, DC supplies, logic analyzers, and LCR meters.
Strong problem-solving and design instincts — able to translate theory into working systems.
Experience with some combination of SKM, ETAP, or EasyPower for electrical modeling and study execution.
Programming proficiency in some combination of Python, C, etc.
Exposure to some combination of KiCad, LTSpice, MATLAB, LabView, Fusion 360, and modern prototyping tools.
Nice to Have
Familiarity with emerging technologies such as 800VDC and Solid-State Transformers (SST).
Experience in BMS/controls integration or IoT-based electrical telemetry.
Experience with PLC Industrial Automation languages such as Ladder Logic, Function Block Diagram, Structured Text, etc.
Understanding of UL891 vs UL1558 vs ANSI/IEEE CS37.20.7 standards/applications.
Interest in AI infrastructure design, DCIM development, or energy automation.
Salary Range Information
This is an hourly role, eligible for overtime. The hourly rate for this position has been set based on market data and other factors. However, a hourly rate higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\nLambda is seeking a Data Center Electrical Modeling Intern who will help with modeling electrical systems at Lambda’s existing and future data center sites.\n\nWhat You’ll Do\n\n - Power Systems Analysis (50%) – Assist in data collection and field verification to support accurate as-built modeling of existing sites. Perform load flow, short circuit, arc flash, and relay coordination studies on existing and future data center sites. Collaborate with team members to identify and resolve power system issues identified through modeling. Prepare technical reports, one-line diagrams, and documentation summarizing study results.\n\n - New Product Introduction (20%) – Support design and layout of emerging electrical designs and systems; exploring new manufacturers and electrical architectures.\n\n - Delivery & Commissioning (15%) – Participate in co-location delivery reviews, site visits, witnessing on-site commissioning, and final acceptance.\n\n - Professional Development (15%) – Broaden your technical range through structured mentorship, expanding into advanced EE domains and next-generation electrical infrastructure.\n\nYou\n\n - Progress towards a Bachelors/Masters degree in Electrical Power Engineering or equivalent.\n\n - Understanding of Electrical Power Engineering Theory\n\n - Hands-on experience with oscilloscopes, DC supplies, logic analyzers, and LCR meters.\n\n - Strong problem-solving and design instincts — able to translate theory into working systems.\n\n - Experience with some combination of SKM, ETAP, or EasyPower for electrical modeling and study execution.\n\n - Programming proficiency in some combination of Python, C, etc.\n\n - Exposure to some combination of KiCad, LTSpice, MATLAB, LabView, Fusion 360, and modern prototyping tools.\n\nNice to Have\n\n - Familiarity with emerging technologies such as 800VDC and Solid-State Transformers (SST).\n\n - Experience in BMS/controls integration or IoT-based electrical telemetry.\n\n - Experience with PLC Industrial Automation languages such as Ladder Logic, Function Block Diagram, Structured Text, etc.\n\n - Understanding of UL891 vs UL1558 vs ANSI/IEEE CS37.20.7 standards/applications.\n\n - Interest in AI infrastructure design, DCIM development, or energy automation.\n\nSalary Range Information\n\nThis is an hourly role, eligible for overtime. The hourly rate for this position has been set based on market data and other factors. However, a hourly rate higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"$41 – $55 per hour","scrapeableCompensationSalarySummary":null,"compensationTiers":[{"id":"af9bb20c-c3b4-4903-bafb-a1a964427ddf","tierSummary":"$41 – $55 per hour","title":null,"additionalInformation":null,"components":[{"id":"6a11d843-9cce-4654-b6f8-f62c7bffa874","summary":"$41 – $55 per hour","compensationType":"Salary","interval":"1 HOUR","currencyCode":"USD","minValue":41,"maxValue":55}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 HOUR","currencyCode":"USD","minValue":41,"maxValue":55}]}},{"id":"d84c4397-8b15-414b-b488-99ea0180bf18","title":"Accounting AI Intern - Summer 2026","department":"G&A","team":"Accounting","employmentType":"Intern","location":"San Francisco Office (Second St)","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-05-27T20:39:21.974+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/d84c4397-8b15-414b-b488-99ea0180bf18","applyUrl":"https://jobs.ashbyhq.com/lambda/d84c4397-8b15-414b-b488-99ea0180bf18/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
The AI Process Improvement team helps Lambda scale its finance operations through automation, workflow optimization, and applied AI solutions. We partner closely with accounting, tax, FP&A, and operations teams to identify high-impact process improvements that increase efficiency, reduce manual work, and improve the quality and accessibility of financial information.
As an AI Process Improvement Intern, you’ll help evaluate and implement practical AI-driven solutions across accounting and tax workflows. You’ll work on real operational challenges, help build scalable internal tools and processes, and gain exposure to how emerging AI technologies are being deployed inside a fast-growing technology company.
What You’ll Do
Analyze accounting and tax workflows to identify opportunities for AI-enabled automation and process improvements
Build and maintain centralized documentation, process maps, and knowledge resources for finance operations
Evaluate and test AI tools, large language models, and workflow automation platforms for accounting and tax use cases
Assist in developing solutions for invoice processing, reconciliations, tax data gathering, document summarization, and research workflows
Prepare presentations, recommendations, and implementation materials for finance leadership
Partner with accounting, tax, and operations teams to improve efficiency, data organization, and reporting processes
Support pilot projects involving AI-assisted workflows and operational automation
You
Currently pursuing a degree in Accounting, Finance, Information Systems, Data Analytics, Computer Science, Business Analytics, or a related field
Strong interest in AI applications within accounting, tax, and business operations
Comfortable working with spreadsheets, structured data, and process-oriented problem solving
Strong analytical, organizational, and communication skills
Self-motivated with the ability to work independently in a fast-paced environment
Nice to Have
Familiarity with AI tools such as ChatGPT, Codex, Claude Cowork, Claude Code, Gemini, Microsoft Copilot, or workflow automation platforms
Exposure to accounting, tax, or financial operations concepts
Experience with process mapping, automation tools, Tableau, PowerBI, Alteryx
Interest in operational efficiency, systems improvement, and emerging technologies in finance
Salary Range Information
This is an hourly role, eligible for overtime. The hourly rate for this position has been set based on market data and other factors. However, a hourly rate higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\nThe AI Process Improvement team helps Lambda scale its finance operations through automation, workflow optimization, and applied AI solutions. We partner closely with accounting, tax, FP&A, and operations teams to identify high-impact process improvements that increase efficiency, reduce manual work, and improve the quality and accessibility of financial information.\n\nAs an AI Process Improvement Intern, you’ll help evaluate and implement practical AI-driven solutions across accounting and tax workflows. You’ll work on real operational challenges, help build scalable internal tools and processes, and gain exposure to how emerging AI technologies are being deployed inside a fast-growing technology company.\n\n\nWhat You’ll Do\n\n - Analyze accounting and tax workflows to identify opportunities for AI-enabled automation and process improvements\n\n - Build and maintain centralized documentation, process maps, and knowledge resources for finance operations\n\n - Evaluate and test AI tools, large language models, and workflow automation platforms for accounting and tax use cases\n\n - Assist in developing solutions for invoice processing, reconciliations, tax data gathering, document summarization, and research workflows\n\n - Prepare presentations, recommendations, and implementation materials for finance leadership\n\n - Partner with accounting, tax, and operations teams to improve efficiency, data organization, and reporting processes\n\n - Support pilot projects involving AI-assisted workflows and operational automation\n\nYou\n\n - Currently pursuing a degree in Accounting, Finance, Information Systems, Data Analytics, Computer Science, Business Analytics, or a related field\n\n - Strong interest in AI applications within accounting, tax, and business operations\n\n - Comfortable working with spreadsheets, structured data, and process-oriented problem solving\n\n - Strong analytical, organizational, and communication skills\n\n - Self-motivated with the ability to work independently in a fast-paced environment\n\nNice to Have\n\n - Familiarity with AI tools such as ChatGPT, Codex, Claude Cowork, Claude Code, Gemini, Microsoft Copilot, or workflow automation platforms\n\n - Exposure to accounting, tax, or financial operations concepts\n\n - Experience with process mapping, automation tools, Tableau, PowerBI, Alteryx\n\n - Interest in operational efficiency, systems improvement, and emerging technologies in finance\n\nSalary Range Information\n\nThis is an hourly role, eligible for overtime. The hourly rate for this position has been set based on market data and other factors. However, a hourly rate higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"$28 – $35 per hour","scrapeableCompensationSalarySummary":null,"compensationTiers":[{"id":"74690959-6cc6-497d-b4e6-f000f0ede72a","tierSummary":"$28 – $35 per hour","title":null,"additionalInformation":null,"components":[{"id":"5b7b292d-4e1f-48d7-99e9-d89225ef1896","summary":"$28 – $35 per hour","compensationType":"Salary","interval":"1 HOUR","currencyCode":"USD","minValue":28,"maxValue":35}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 HOUR","currencyCode":"USD","minValue":28,"maxValue":35}]}},{"id":"94068330-52f6-4ebe-9ee7-9d09efea0c1c","title":"People Systems Lead - HRIS","department":"Data Center Business","team":"Business Technology","employmentType":"FullTime","location":"San Francisco Office (Fremont St)","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"San Jose Office (First St)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}}],"publishedAt":"2026-06-01T19:10:30.994+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/94068330-52f6-4ebe-9ee7-9d09efea0c1c","applyUrl":"https://jobs.ashbyhq.com/lambda/94068330-52f6-4ebe-9ee7-9d09efea0c1c/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
We are seeking an experienced People Technology leader to own and scale our People Systems platform, with Workday as the core tool. This role will be central to deploying Workday HCM, Payroll, Benefits, Absence, and Talent capabilities as the company prepares for and operates as a public company. You will partner closely with the People team, Finance, Accounting, Legal, and Business Technology to design and deliver HR processes, payroll operations, and cross-functional workflows that give leadership accurate, auditable visibility into workforce data.
Your responsibilities will include architecting Workday's tenant configuration, supervisory and security models, payroll setup, integration layer, and reporting framework. You will manage the implementation partner relationship through go-live, then build the in-house team that owns the platform on an ongoing basis. This role requires deep Workday domain expertise, payroll fluency, and the ability to translate People team needs into scalable, SOX-defensible solutions.
What You’ll Do
Platform Ownership: Own the end-to-end design, build, and administration of Workday HCM, including tenant configuration, supervisory orgs, business processes, security model, and environment management across implementation, sandbox, and production tenants.
Payroll Deployment & Operations: Lead the deployment of Workday Payroll (US first, international as scoped) with full SOX-compliant controls over pay calculation, tax filing, GL posting to NetSuite, and off-cycle processing. Own ongoing payroll operations partnership with the People and Accounting teams.
Integration & Data Architecture: Design and manage integrations between Workday and upstream/downstream systems (NetSuite, BigQuery, Okta/Lumos, benefits carriers, 401(k), ATS, perf, equity admin) using Workday Studio, EIBs, Core Connectors, and Workato as appropriate.
Implementation Partner Management: Lead the Workday implementation partner relationship end-to-end: scope, SOW, sprint cadence, UAT, cutover, hypercare. Hold the partner accountable to deliverables and timeline.
Reporting & Analytics: Build the People reporting and analytics layer: headcount close, attrition, comp planning, DEI, payroll register reconciliation. Feed clean headcount actuals into Pigment EPM for FP&A.
SOX & Compliance: Establish and enforce controls around payroll, comp, terminations, access provisioning, and master data changes. Partner with external SOX advisors on ITGC and IPE design for the People stack.
Team Building: Hire and grow a small in-house People Technology team (2-3 ICs over 12-18 months) covering Workday HCM/Payroll admin, integrations and reporting, and adjacent People Ops tooling.
Stakeholder Enablement: Train and support end users across the People team, drive adoption, and build documentation and governance standards for tenant changes and release management.
Roadmap & Strategy: Develop and maintain a multi-quarter platform roadmap aligned with Lambda's People function maturity goals, partnering with Business Technology and People leadership to prioritize enhancements
You
Experience: 10+ years in HRIS / People Systems, with at least 4+ years of hands-on Workday HCM and Payroll implementation and administration experience. At least one full-cycle Workday implementation including Payroll go-live as the customer-side architect or in-house owner. Prior experience at a high-growth or pre-IPO / public company strongly preferred.
Technical Expertise: Deep proficiency in Workday's data model, business process framework, security model, calculated fields, EIBs, Core Connectors, and Studio integrations. Working knowledge of SQL or Workday Report Writer, and familiarity with data pipelines (BigQuery, dbt, Fivetran, Workato).
People Domain Knowledge: Strong understanding of People processes including onboarding, offboarding, compensation planning, benefits open enrollment, leaves of absence, performance management, and US payroll tax and compliance. Comfortable speaking the language of HR Business Partners, People Ops, and Finance stakeholders.
Compliance & Controls: Practical knowledge of SOX requirements as they apply to HRIS and Payroll systems, including change management, segregation of duties, access controls, and documentation. Experience working with external auditors.
Communication & Leadership: Ability to work directly with senior People and Finance leadership and translate ambiguous requirements into structured, scalable solutions. Comfortable presenting to executives, managing competing priorities independently, and holding implementation partners accountable.
Team Building: Experience hiring, mentoring, or leading a People Systems team. Player-coach orientation: comfortable being hands-on while also growing a function.
AI Automation & Development: Hands-on experience leveraging AI/ML tools to enhance People workflows, whether through native HRIS capabilities, custom-built solutions, or third-party AI integrations.
Nice to Have
Prior experience with Workday's API and programmatic integrations (REST, SOAP, RaaS).
International payroll experience (LATAM, Canada, India, EMEA).
Experience building internal AI-powered apps or prototypes (e.g., on AWS, Vercel, or similar) that augment People workflows.
Hands-on familiarity with NetSuite GL posting, Okta/Lumos identity governance, Greenhouse, Lattice, Carta, or Workato.
Prior experience migrating from Rippling, BambooHR, ADP, UKG, or SAP SuccessFactors to Workday.
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n\n*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\n\nWe are seeking an experienced People Technology leader to own and scale our People Systems platform, with Workday as the core tool. This role will be central to deploying Workday HCM, Payroll, Benefits, Absence, and Talent capabilities as the company prepares for and operates as a public company. You will partner closely with the People team, Finance, Accounting, Legal, and Business Technology to design and deliver HR processes, payroll operations, and cross-functional workflows that give leadership accurate, auditable visibility into workforce data.\n\nYour responsibilities will include architecting Workday's tenant configuration, supervisory and security models, payroll setup, integration layer, and reporting framework. You will manage the implementation partner relationship through go-live, then build the in-house team that owns the platform on an ongoing basis. This role requires deep Workday domain expertise, payroll fluency, and the ability to translate People team needs into scalable, SOX-defensible solutions.\n\nWhat You’ll Do\n\n - Platform Ownership: Own the end-to-end design, build, and administration of Workday HCM, including tenant configuration, supervisory orgs, business processes, security model, and environment management across implementation, sandbox, and production tenants.\n\n - Payroll Deployment & Operations: Lead the deployment of Workday Payroll (US first, international as scoped) with full SOX-compliant controls over pay calculation, tax filing, GL posting to NetSuite, and off-cycle processing. Own ongoing payroll operations partnership with the People and Accounting teams.\n\n - Integration & Data Architecture: Design and manage integrations between Workday and upstream/downstream systems (NetSuite, BigQuery, Okta/Lumos, benefits carriers, 401(k), ATS, perf, equity admin) using Workday Studio, EIBs, Core Connectors, and Workato as appropriate.\n\n - Implementation Partner Management: Lead the Workday implementation partner relationship end-to-end: scope, SOW, sprint cadence, UAT, cutover, hypercare. Hold the partner accountable to deliverables and timeline.\n\n - Reporting & Analytics: Build the People reporting and analytics layer: headcount close, attrition, comp planning, DEI, payroll register reconciliation. Feed clean headcount actuals into Pigment EPM for FP&A.\n\n - SOX & Compliance: Establish and enforce controls around payroll, comp, terminations, access provisioning, and master data changes. Partner with external SOX advisors on ITGC and IPE design for the People stack.\n\n - Team Building: Hire and grow a small in-house People Technology team (2-3 ICs over 12-18 months) covering Workday HCM/Payroll admin, integrations and reporting, and adjacent People Ops tooling.\n\n - Stakeholder Enablement: Train and support end users across the People team, drive adoption, and build documentation and governance standards for tenant changes and release management.\n\n - Roadmap & Strategy: Develop and maintain a multi-quarter platform roadmap aligned with Lambda's People function maturity goals, partnering with Business Technology and People leadership to prioritize enhancements\n\nYou\n\n - Experience: 10+ years in HRIS / People Systems, with at least 4+ years of hands-on Workday HCM and Payroll implementation and administration experience. At least one full-cycle Workday implementation including Payroll go-live as the customer-side architect or in-house owner. Prior experience at a high-growth or pre-IPO / public company strongly preferred.\n\n - Technical Expertise: Deep proficiency in Workday's data model, business process framework, security model, calculated fields, EIBs, Core Connectors, and Studio integrations. Working knowledge of SQL or Workday Report Writer, and familiarity with data pipelines (BigQuery, dbt, Fivetran, Workato).\n\n - People Domain Knowledge: Strong understanding of People processes including onboarding, offboarding, compensation planning, benefits open enrollment, leaves of absence, performance management, and US payroll tax and compliance. Comfortable speaking the language of HR Business Partners, People Ops, and Finance stakeholders.\n\n - Compliance & Controls: Practical knowledge of SOX requirements as they apply to HRIS and Payroll systems, including change management, segregation of duties, access controls, and documentation. Experience working with external auditors.\n\n - Communication & Leadership: Ability to work directly with senior People and Finance leadership and translate ambiguous requirements into structured, scalable solutions. Comfortable presenting to executives, managing competing priorities independently, and holding implementation partners accountable.\n\n - Team Building: Experience hiring, mentoring, or leading a People Systems team. Player-coach orientation: comfortable being hands-on while also growing a function.\n\n - AI Automation & Development: Hands-on experience leveraging AI/ML tools to enhance People workflows, whether through native HRIS capabilities, custom-built solutions, or third-party AI integrations.\n\nNice to Have\n\n - Prior experience with Workday's API and programmatic integrations (REST, SOAP, RaaS).\n\n - International payroll experience (LATAM, Canada, India, EMEA).\n\n - Experience building internal AI-powered apps or prototypes (e.g., on AWS, Vercel, or similar) that augment People workflows.\n\n - Hands-on familiarity with NetSuite GL posting, Okta/Lumos identity governance, Greenhouse, Lattice, Carta, or Workato.\n\n - Prior experience migrating from Rippling, BambooHR, ADP, UKG, or SAP SuccessFactors to Workday.\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"$279K – $310K","scrapeableCompensationSalarySummary":"$279K - $310K","compensationTiers":[{"id":"cefc108f-8257-4b50-8a99-670bdba35847","tierSummary":"$279K – $310K","title":null,"additionalInformation":null,"components":[{"id":"9e394349-d6f4-42c6-9ee9-a892e716feae","summary":"$279K – $310K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":279000,"maxValue":310000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":279000,"maxValue":310000}]}},{"id":"1c764f96-966d-4560-8087-35452480d330","title":"AI Research Marketing Intern - Summer 2026","department":"Sales & Marketing","team":"Marketing","employmentType":"Intern","location":"San Francisco Office (Second St)","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-06-01T21:40:43.243+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/1c764f96-966d-4560-8087-35452480d330","applyUrl":"https://jobs.ashbyhq.com/lambda/1c764f96-966d-4560-8087-35452480d330/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
Lambda's research team is doing work that matters in AI and not enough people know about it yet. That's where you come in. As our AI Research Marketing Intern, you'll own the strategy for how Lambda's research reaches the world: defining what we say, where we say it, and why it lands. You'll storyboard and edit original content, dig into channel data to make the case for what deserves investment, and use AI tooling to move fast and iterate. If you're the kind of person who reads ML papers and also has opinions about retention curves, we want to talk.
What You’ll Do
Define the social media strategy for Lambda’s research program
Help build the Lambda story through amplifying our voice in research
Storyboard marketing content relating to AI/ML research
Edit short form and long form videos to be posted on Lambda accounts
Provide data-driven arguments for why a certain channel or type of content deserves more investment
Use AI to increase efficiency in planning, analysis, and quick iteration
You
Currently pursuing a Bachelor's or Master’s in Marketing, Film production, Data science, or related field.
Interested in AI/ML research
Enthusiastic about planning and laying the groundwork for content
Comfortable learning new concepts, quickly
Nice to Have
Prior marketing internship experience
Direct AI/ML engineering experience
Familiar with AI research conferences
Salary Range Information
This is an hourly role, eligible for overtime. The hourly rate for this position has been set based on market data and other factors. However, a hourly rate higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\nLambda's research team is doing work that matters in AI and not enough people know about it yet. That's where you come in. As our AI Research Marketing Intern, you'll own the strategy for how Lambda's research reaches the world: defining what we say, where we say it, and why it lands. You'll storyboard and edit original content, dig into channel data to make the case for what deserves investment, and use AI tooling to move fast and iterate. If you're the kind of person who reads ML papers and also has opinions about retention curves, we want to talk.\n\n\nWhat You’ll Do\n\n - Define the social media strategy for Lambda’s research program\n\n - Help build the Lambda story through amplifying our voice in research\n\n - Storyboard marketing content relating to AI/ML research\n\n - Edit short form and long form videos to be posted on Lambda accounts\n\n - Provide data-driven arguments for why a certain channel or type of content deserves more investment\n\n - Use AI to increase efficiency in planning, analysis, and quick iteration\n\nYou\n\n - Currently pursuing a Bachelor's or Master’s in Marketing, Film production, Data science, or related field.\n\n - Interested in AI/ML research\n\n - Enthusiastic about planning and laying the groundwork for content\n\n - Comfortable learning new concepts, quickly\n\nNice to Have\n\n - Prior marketing internship experience\n\n - Direct AI/ML engineering experience\n\n - Familiar with AI research conferences\n\nSalary Range Information\n\nThis is an hourly role, eligible for overtime. The hourly rate for this position has been set based on market data and other factors. However, a hourly rate higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"$26 – $35 per hour","scrapeableCompensationSalarySummary":null,"compensationTiers":[{"id":"a389b9e0-8aea-4363-bd8c-72bf275ea29e","tierSummary":"$26 – $35 per hour","title":null,"additionalInformation":null,"components":[{"id":"9ee60c4a-59d6-452d-b5ce-4d53cfe5314b","summary":"$26 – $35 per hour","compensationType":"Salary","interval":"1 HOUR","currencyCode":"USD","minValue":26,"maxValue":35}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 HOUR","currencyCode":"USD","minValue":26,"maxValue":35}]}},{"id":"42c2fabb-bd23-46c1-b86d-6dc004a13392","title":"Senior Platform Engineer","department":"Data Center Business","team":"Platform Engineering","employmentType":"FullTime","location":"San Francisco Office (Fremont St)","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"San Jose Office (Zanker)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}},{"location":"Bellevue, WA","address":{"postalAddress":{"addressRegion":"Washington","addressCountry":"United States","addressLocality":"Seattle"}}}],"publishedAt":"2026-06-04T01:59:40.141+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/42c2fabb-bd23-46c1-b86d-6dc004a13392","applyUrl":"https://jobs.ashbyhq.com/lambda/42c2fabb-bd23-46c1-b86d-6dc004a13392/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Francisco/San Jose/Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
What the Role is About
The Senior Platform Engineer plays a key role in accelerating software delivery across Lambda by building and evolving the internal platforms, tooling, and workflows that engineers rely on every day. As part of the Platform Engineering team, this position focuses on improving the developer experience, streamlining the software delivery lifecycle, and creating scalable self-service solutions that enable more than 200 engineers to build, test, and ship software efficiently and reliably.
Working closely with engineering teams across the company, the Senior Platform Engineer identifies friction points in development and release processes and designs durable solutions through developer platforms, CI/CD infrastructure, release engineering tooling, and opinionated paved paths. The position contributes directly to Lambda’s ability to scale engineering productivity, maintain high delivery velocity, and support the company’s continued growth by making the right engineering workflows easier, faster, and more reliable.
What You’ll Do
Accelerate software delivery by designing and building internal tools and services that reduce friction for engineering teams.
Own and evolve our CI/CD infrastructure, not just maintain it, but rethink how it should work as we scale
Build and maintain paved paths: reusable patterns and templates that make the right defaults obvious and easy to follow
Build release engineering tooling that gives engineers confidence and control over how their code ships
Identify bottlenecks in developer workflows through close collaboration with engineering teams, then build lasting solutions, not workarounds
Contribute to the architectural decisions that will shape how 200+ engineers build and ship software and images
Help shape how the Platform Engineering team itself operates: our processes, priorities, and our push toward a self-service engineering org
Participate in an on-call rotation and keep the systems you own well-documented, reliable, and observable
Who You Are
5+ years of experience in platform engineering, release engineering, developer tooling, or a closely related discipline
You write production-quality software and treat internal tooling as a product: real users, real quality standards, and things that actually get adopted (Go and/or Python preferred)
Deep experience with CI/CD systems (e.g. Buildkite, GitHub Actions), not just configuring them, but extending and building on top of them
Strong foundation in infrastructure-as-code (Terraform) and cloud environments (AWS or GCP)
Experience designing and building agentic workflows that automate meaningful parts of the software delivery lifecycle
Builds for the many, not for one team or one use case
Distills the right problem out of the noise: asks the why behind the why
Outcome driven and measures the impact of what you ship
Comfortable with ambiguity and energized by defining the problem before solving it
Nice to Have
Experience driving AI tooling adoption across an engineering org
Led large-scale platform or tooling migrations
Experience managing AWS environments at scale: accounts, permissions, and resource organization
Familiarity with GPU infrastructure or high-performance computing environments
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Francisco/San Jose/Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\nWhat the Role is About\n\nThe Senior Platform Engineer plays a key role in accelerating software delivery across Lambda by building and evolving the internal platforms, tooling, and workflows that engineers rely on every day. As part of the Platform Engineering team, this position focuses on improving the developer experience, streamlining the software delivery lifecycle, and creating scalable self-service solutions that enable more than 200 engineers to build, test, and ship software efficiently and reliably.\n\nWorking closely with engineering teams across the company, the Senior Platform Engineer identifies friction points in development and release processes and designs durable solutions through developer platforms, CI/CD infrastructure, release engineering tooling, and opinionated paved paths. The position contributes directly to Lambda’s ability to scale engineering productivity, maintain high delivery velocity, and support the company’s continued growth by making the right engineering workflows easier, faster, and more reliable.\n\n\nWhat You’ll Do\n\n - Accelerate software delivery by designing and building internal tools and services that reduce friction for engineering teams.\n\n - Own and evolve our CI/CD infrastructure, not just maintain it, but rethink how it should work as we scale\n\n - Build and maintain paved paths: reusable patterns and templates that make the right defaults obvious and easy to follow\n\n - Build release engineering tooling that gives engineers confidence and control over how their code ships\n\n - Identify bottlenecks in developer workflows through close collaboration with engineering teams, then build lasting solutions, not workarounds\n\n - Contribute to the architectural decisions that will shape how 200+ engineers build and ship software and images\n\n - Help shape how the Platform Engineering team itself operates: our processes, priorities, and our push toward a self-service engineering org\n\n - Participate in an on-call rotation and keep the systems you own well-documented, reliable, and observable\n\nWho You Are\n\n - 5+ years of experience in platform engineering, release engineering, developer tooling, or a closely related discipline\n\n - You write production-quality software and treat internal tooling as a product: real users, real quality standards, and things that actually get adopted (Go and/or Python preferred)\n\n - Deep experience with CI/CD systems (e.g. Buildkite, GitHub Actions), not just configuring them, but extending and building on top of them\n\n - Strong foundation in infrastructure-as-code (Terraform) and cloud environments (AWS or GCP)\n\n - Experience designing and building agentic workflows that automate meaningful parts of the software delivery lifecycle\n\n - Builds for the many, not for one team or one use case\n\n - Distills the right problem out of the noise: asks the why behind the why\n\n - Outcome driven and measures the impact of what you ship\n\n - Comfortable with ambiguity and energized by defining the problem before solving it\n\nNice to Have\n\n - Experience driving AI tooling adoption across an engineering org\n\n - Led large-scale platform or tooling migrations\n\n - Experience managing AWS environments at scale: accounts, permissions, and resource organization\n\n - Familiarity with GPU infrastructure or high-performance computing environments\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"$266K – $395K • Multiple Ranges","scrapeableCompensationSalarySummary":"$266K - $395K","compensationTiers":[{"id":"314246b4-e588-450c-a7c7-bd19ce1b8004","tierSummary":"$296K – $395K","title":"San Francisco / San Jose","additionalInformation":null,"components":[{"id":"612167af-e176-4cc4-b273-3cead464b456","summary":"$296K – $395K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":296000,"maxValue":395000}]},{"id":"6f4a4bb2-62d7-4562-b598-80dce29bb7f5","tierSummary":"$266K – $356K","title":"Bellevue","additionalInformation":null,"components":[{"id":"1c82e5a5-8638-4c1e-9a8d-778cce1c86e8","summary":"$266K – $356K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":266000,"maxValue":356000}]}],"summaryComponents":[{"minValue":266000,"maxValue":395000,"currencyCode":"USD","interval":"1 YEAR","compensationType":"Salary"}]}},{"id":"7e26ae22-0ecb-4de0-bb9f-7dff3ab39371","title":"Senior Incident Manager","department":"Data Center Business","team":"Data Center Operations","employmentType":"FullTime","location":"Remote, USA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"San Jose Office (Zanker)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}}],"publishedAt":"2026-06-03T22:17:46.163+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/7e26ae22-0ecb-4de0-bb9f-7dff3ab39371","applyUrl":"https://jobs.ashbyhq.com/lambda/7e26ae22-0ecb-4de0-bb9f-7dff3ab39371/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
We are seeking a Senior Incident Manager to lead critical incident response across our AI data center infrastructure. This role is responsible for coordinating rapid resolution of service-impacting events, improving operational resilience, and driving incident management best practices across infrastructure, networking, platform engineering, and data center operations.
Role Overview
The Senior Incident Manager is responsible for leading the end-to-end lifecycle of operational incidents impacting AI infrastructure and data center services. This individual acts as the central command point during major incidents, ensuring rapid triage, cross-team coordination, effective communication, and structured post-incident analysis.
This role requires deep operational expertise in high-availability infrastructure, large-scale GPU clusters, networking, and cloud platforms, along with strong leadership and communication skills.
What You’ll Do
Incident Leadership
Lead the response to critical (SEV-1 / SEV-2) incidents impacting AI infrastructure, GPU clusters, networking, storage, and data center operations.
Serve as the Incident Commander during major outages, coordinating engineering, networking, facilities, and vendor teams.
Act as the liaison between leadership and external teams during incidents / post-incidents to provide updates and status summaries.
Establish clear incident timelines, triage actions, and resolution plans.
Incident Management Operations
Own the incident response lifecycle including:
Assisting Technical Triage
Escalation
Coordination
Resolution
Post-incident review
Ensure timely and accurate communication with internal stakeholders and leadership.
Maintain incident response documentation and operational playbooks.
Conduct analysis on incidents and identify patterns / trends for improvement in response and systems reliability.
Work in an On-Call Rotation to respond to, lead, and coordinate incidents
Cross-Functional Coordination
Work closely with:
Data center operations
Infrastructure engineering & operations
Network engineering
Platform reliability engineering
Security operations
Hardware and facility vendors
Drive alignment during outages involving multiple infrastructure layers.
Post-Incident Analysis & Continuous Improvement
Lead post-incident reviews (PIRs) and root cause analysis. Identify systemic reliability gaps and implement corrective actions.
Track incident metrics including MTTR, MTTD, and incident recurrence rates.
Operational Excellence
Improve incident response processes, escalation paths, and tooling by working with technical support and engineering teams..
Contribute to runbooks, operational standards, and reliability frameworks.
Support implementation of automation and observability improvements.
Communication & Reporting
Provide executive-level incident summaries and reports.
Deliver clear, concise updates during active incidents.
Maintain incident dashboards and operational health reporting.
You
8+ years experience in incident management, site reliability engineering, or infrastructure operations
Experience managing incidents in large-scale distributed infrastructure environments
Strong understanding of:
Data center operations
GPU compute clusters
Networking and storage infrastructure
Cloud or hybrid infrastructure platforms
Proven ability to lead high-pressure incident response situations
Experience with incident management frameworks (ITIL, SRE, or equivalent)
Excellent communication and stakeholder management skills
Experience with incident tracking and monitoring tools such as:
PagerDuty
ServiceNow
Jira
Datadog
Prometheus / Grafana
Nice to Have
Experience operating AI or HPC infrastructure
Background in SRE, infrastructure engineering, or data center operations
Familiarity with high-density GPU environments (NVIDIA clusters, InfiniBand networks)
Experience with hyperscale or colocation data center environments
Knowledge of automation and incident response tooling
Knowledge of and experience with Incident command system (ICS)
Experience in leading and developing incident command from stractch
Key Competencies
Incident Command & Leadership
Operational Decision Making
Cross-Team Coordination
Root Cause Analysis
Crisis Communication
Infrastructure Reliability
What Success Looks Like in This Role
Reduced Mean Time to Resolution (MTTR) for critical incidents
Improved cross-team incident coordination
High-quality post-incident reviews and corrective actions
Increased infrastructure reliability and operational maturity
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\nWe are seeking a Senior Incident Manager to lead critical incident response across our AI data center infrastructure. This role is responsible for coordinating rapid resolution of service-impacting events, improving operational resilience, and driving incident management best practices across infrastructure, networking, platform engineering, and data center operations.\n\n \n\nRole Overview\n\nThe Senior Incident Manager is responsible for leading the end-to-end lifecycle of operational incidents impacting AI infrastructure and data center services. This individual acts as the central command point during major incidents, ensuring rapid triage, cross-team coordination, effective communication, and structured post-incident analysis.\n\nThis role requires deep operational expertise in high-availability infrastructure, large-scale GPU clusters, networking, and cloud platforms, along with strong leadership and communication skills.\n\n \n\nWhat You’ll Do\n\nIncident Leadership\n\n - Lead the response to critical (SEV-1 / SEV-2) incidents impacting AI infrastructure, GPU clusters, networking, storage, and data center operations.\n\n - Serve as the Incident Commander during major outages, coordinating engineering, networking, facilities, and vendor teams.\n\n - Act as the liaison between leadership and external teams during incidents / post-incidents to provide updates and status summaries.\n\n - Establish clear incident timelines, triage actions, and resolution plans.\n\nIncident Management Operations\n\n - Own the incident response lifecycle including:\n \n - Assisting Technical Triage\n \n - Escalation\n \n - Coordination\n \n - Resolution\n Post-incident review\n\n - Ensure timely and accurate communication with internal stakeholders and leadership.\n\n - Maintain incident response documentation and operational playbooks.\n\n - Conduct analysis on incidents and identify patterns / trends for improvement in response and systems reliability.\n\n - Work in an On-Call Rotation to respond to, lead, and coordinate incidents\n\nCross-Functional Coordination\n\n - Work closely with:\n \n - Data center operations\n \n - Infrastructure engineering & operations\n \n - Network engineering\n \n - Platform reliability engineering\n \n - Security operations\n \n - Hardware and facility vendors\n\n - Drive alignment during outages involving multiple infrastructure layers.\n\nPost-Incident Analysis & Continuous Improvement\n\n - Lead post-incident reviews (PIRs) and root cause analysis. Identify systemic reliability gaps and implement corrective actions.\n\n - Track incident metrics including MTTR, MTTD, and incident recurrence rates.\n\nOperational Excellence\n\n - Improve incident response processes, escalation paths, and tooling by working with technical support and engineering teams..\n\n - Contribute to runbooks, operational standards, and reliability frameworks.\n\n - Support implementation of automation and observability improvements.\n\nCommunication & Reporting\n\n - Provide executive-level incident summaries and reports.\n\n - Deliver clear, concise updates during active incidents.\n\n - Maintain incident dashboards and operational health reporting.\n\nYou\n\n - 8+ years experience in incident management, site reliability engineering, or infrastructure operations\n\n - Experience managing incidents in large-scale distributed infrastructure environments\n\n - Strong understanding of:\n \n - Data center operations\n \n - GPU compute clusters\n Networking and storage infrastructure\n \n - Cloud or hybrid infrastructure platforms\n\n - Proven ability to lead high-pressure incident response situations\n\n - Experience with incident management frameworks (ITIL, SRE, or equivalent)\n\n - Excellent communication and stakeholder management skills\n\n - Experience with incident tracking and monitoring tools such as:\n \n - PagerDuty\n \n - ServiceNow\n \n - Jira\n \n - Datadog\n \n - Prometheus / Grafana\n\nNice to Have\n\n - Experience operating AI or HPC infrastructure\n\n - Background in SRE, infrastructure engineering, or data center operations\n\n - Familiarity with high-density GPU environments (NVIDIA clusters, InfiniBand networks)\n\n - Experience with hyperscale or colocation data center environments\n\n - Knowledge of automation and incident response tooling\n\n - Knowledge of and experience with Incident command system (ICS)\n\n - Experience in leading and developing incident command from stractch\n\nKey Competencies\n\n - Incident Command & Leadership\n\n - Operational Decision Making\n\n - Cross-Team Coordination\n\n - Root Cause Analysis\n\n - Crisis Communication\n\n - Infrastructure Reliability\n\nWhat Success Looks Like in This Role\n\n - Reduced Mean Time to Resolution (MTTR) for critical incidents\n\n - Improved cross-team incident coordination\n\n - High-quality post-incident reviews and corrective actions\n\n - Increased infrastructure reliability and operational maturity\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"$125K – $195K • Multiple Ranges","scrapeableCompensationSalarySummary":"$125K - $195K","compensationTiers":[{"id":"1d69abf1-9787-4dcd-841c-57e845d254b0","tierSummary":"$125K – $166K","title":"Remote, USA","additionalInformation":null,"components":[{"id":"2f56544b-fc1a-47af-a259-af756838efa5","summary":"$125K – $166K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":125000,"maxValue":166000}]},{"id":"9513fb89-0ab6-4952-827d-2542648f5aa6","tierSummary":"$146K – $195K","title":"San Jose","additionalInformation":null,"components":[{"id":"cc5c48bf-ee51-4bdb-87eb-45367bacc0e0","summary":"$146K – $195K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":146000,"maxValue":195000}]}],"summaryComponents":[{"minValue":125000,"maxValue":195000,"currencyCode":"USD","interval":"1 YEAR","compensationType":"Salary"}]}},{"id":"1c108dc5-e5b7-46cf-b934-38b448c4711d","title":"Site Selection Associate","department":"Data Center Business","team":"Data Center Acquisitions","employmentType":"FullTime","location":"San Francisco Office (Fremont St)","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-06-10T22:11:51.280+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/1c108dc5-e5b7-46cf-b934-38b448c4711d","applyUrl":"https://jobs.ashbyhq.com/lambda/1c108dc5-e5b7-46cf-b934-38b448c4711d/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: Preference for those who can be in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
What You’ll Do
Model the Business: Design, manage, and pressure-test complex financial models across the data center investment lifecycle — including lease, acquisitions and development
Own Leadership Reporting: Prepare and deliver materials for senior management and the Board.
Execute Transactions: Support negotiation of LOIs, PSAs, and lease agreements, and manage diligence and closing processes through to funding.
Shape Location Strategy: Help define which markets and submarkets to pursue based on power availability, customer demand, and competitive positioning.
Evaluate Opportunities: Underwrite individual sites and leases in partnership with the power, design, and construction teams, surfacing risks and recommendations.
Build Market Intelligence: Maintain database of land comps, transaction comps, competitor activity, and powered-land pipeline across target markets — and translate it into investment recommendations.
You
Background: 2+ years of experience in infrastructure or real estate investment- modeling deals, capital markets and both acquisition and lease transactions
Industry Familiarity: Have prior exposure to data center, industrial, or infrastructure asset Classes
Communication Skills: Can distill complicated financial analysis into clean, executive-ready decks — strong presentation and storytelling skills are essential.
Nice to Have
Experience at investment banking, real estate or data center development, commercial brokerage, or institutional investment platforms.
Working familiarity with utility interconnection processes, transmission constraints, and behind-the-meter generation
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: Preference for those who can be in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\nWhat You’ll Do\n\n - Model the Business: Design, manage, and pressure-test complex financial models across the data center investment lifecycle — including lease, acquisitions and development\n\n - Own Leadership Reporting: Prepare and deliver materials for senior management and the Board.\n\n - Execute Transactions: Support negotiation of LOIs, PSAs, and lease agreements, and manage diligence and closing processes through to funding.\n\n - Shape Location Strategy: Help define which markets and submarkets to pursue based on power availability, customer demand, and competitive positioning.\n\n - Evaluate Opportunities: Underwrite individual sites and leases in partnership with the power, design, and construction teams, surfacing risks and recommendations.\n\n - Build Market Intelligence: Maintain database of land comps, transaction comps, competitor activity, and powered-land pipeline across target markets — and translate it into investment recommendations.\n\nYou\n\n - Background: 2+ years of experience in infrastructure or real estate investment- modeling deals, capital markets and both acquisition and lease transactions\n\n - Industry Familiarity: Have prior exposure to data center, industrial, or infrastructure asset Classes\n\n - Communication Skills: Can distill complicated financial analysis into clean, executive-ready decks — strong presentation and storytelling skills are essential.\n\nNice to Have\n\n - Experience at investment banking, real estate or data center development, commercial brokerage, or institutional investment platforms.\n\n - Working familiarity with utility interconnection processes, transmission constraints, and behind-the-meter generation\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"$154K – $205K","scrapeableCompensationSalarySummary":"$154K - $205K","compensationTiers":[{"id":"5a7846de-08a2-4dfc-98c8-141cf57d79d4","tierSummary":"$154K – $205K","title":null,"additionalInformation":null,"components":[{"id":"ebc43c16-46c1-45ad-b5f1-961b90c7a6ac","summary":"$154K – $205K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":154000,"maxValue":205000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":154000,"maxValue":205000}]}},{"id":"764437a8-3d46-4544-9350-ce87bc76f946","title":"HPC Operations Engineer","department":"Data Center Business","team":"Fleet Engineering","employmentType":"FullTime","location":"San Francisco Office (Fremont St)","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"San Jose Office (Zanker)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}},{"location":"Bellevue, WA","address":{"postalAddress":{"addressRegion":"Washington","addressCountry":"United States","addressLocality":"Seattle"}}}],"publishedAt":"2026-06-05T23:57:54.301+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/764437a8-3d46-4544-9350-ce87bc76f946","applyUrl":"https://jobs.ashbyhq.com/lambda/764437a8-3d46-4544-9350-ce87bc76f946/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Francisco/San Jose/Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.
What You’ll Do
Remotely deploy and configure large-scale HPC clusters for AI workloads (up to many thousands of nodes)
Remotely install and configure operating systems, firmware, software, and networking on HPC clusters both manually and using automation tools
Troubleshoot and resolve HPC cluster issues working closely with physical deployment teams on-site
Provide clear and detailed requirements back to other engineering teams on gaps and improvement areas, specifically in the areas of simplification, stability, and operational efficiency
Contribute to the creation of and maintenance of Standard Operating Procedures
Provide regular and well-communicated updates to project leads throughout each deployment
Mentor and assist less experienced team members
Stay up-to-date on the latest HPC/AI technologies and best practices
You
Are a deeply experienced HPC engineer comfortable with logical provisioning of a cluster
Have a strong understanding of HPC/AI architecture, operating systems, firmware, software, and networking
5+ years of experience in deploying and configuring HPC clusters for AI workloads
Have an innate attention to detail
Are in expert in configuring and troubleshooting:
SFP+ fiber, Infiniband (IB), and 100 GbE network fabrics
Ethernet, switching, power infrastructure, GPU direct, RDMA, NCCL, Horovod environments
Linux based compute nodes, firmware updates, driver installation
SLURM, Kubernetes, or other job scheduling systems
Work well under deadlines and structured project plans also knowing when and how to ask for changes to project timelines
Have excellent problem solving and troubleshooting skills
Have flexibility to travel to our North American data centers as on-site needs arise or as part of training exercises
Are able to work independently and as part of a team
Are comfortable mentoring and supporting junior HPC engineers on cluster deployments
Nice to Have
Experience with machine learning and deep learning frameworks (PyTorch, Tensorflow) and benchmarking tools (DeepSpeed, MLPerf)
Experience with containerization technologies ( Docker, Kubernetes)
Experience working with the technologies that underpin our cloud business ( GPU acceleration, virtualization, and cloud computing)
Keen situational awareness in customer situations, employing diplomacy and tact
Bachelors degree in EE, CS, Physics, Mathematics, or equivalent work experience
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n\n\n*Note: This position requires presence in our San Francisco/San Jose/Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\n\nEngineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.\n\n\n\nWhat You’ll Do\n\n - Remotely deploy and configure large-scale HPC clusters for AI workloads (up to many thousands of nodes)\n\n - Remotely install and configure operating systems, firmware, software, and networking on HPC clusters both manually and using automation tools\n\n - Troubleshoot and resolve HPC cluster issues working closely with physical deployment teams on-site\n\n - Provide clear and detailed requirements back to other engineering teams on gaps and improvement areas, specifically in the areas of simplification, stability, and operational efficiency\n\n - Contribute to the creation of and maintenance of Standard Operating Procedures\n\n - Provide regular and well-communicated updates to project leads throughout each deployment\n\n - Mentor and assist less experienced team members\n\n - Stay up-to-date on the latest HPC/AI technologies and best practices\n\nYou\n\n - Are a deeply experienced HPC engineer comfortable with logical provisioning of a cluster\n\n - Have a strong understanding of HPC/AI architecture, operating systems, firmware, software, and networking\n\n - 5+ years of experience in deploying and configuring HPC clusters for AI workloads\n\n - Have an innate attention to detail\n\n - Are in expert in configuring and troubleshooting:\n \n - SFP+ fiber, Infiniband (IB), and 100 GbE network fabrics\n \n - Ethernet, switching, power infrastructure, GPU direct, RDMA, NCCL, Horovod environments\n \n - Linux based compute nodes, firmware updates, driver installation\n \n - SLURM, Kubernetes, or other job scheduling systems\n\n - Work well under deadlines and structured project plans also knowing when and how to ask for changes to project timelines\n\n - Have excellent problem solving and troubleshooting skills\n\n - Have flexibility to travel to our North American data centers as on-site needs arise or as part of training exercises\n\n - Are able to work independently and as part of a team\n\n - Are comfortable mentoring and supporting junior HPC engineers on cluster deployments\n\nNice to Have\n\n - Experience with machine learning and deep learning frameworks (PyTorch, Tensorflow) and benchmarking tools (DeepSpeed, MLPerf)\n\n - Experience with containerization technologies ( Docker, Kubernetes)\n\n - Experience working with the technologies that underpin our cloud business ( GPU acceleration, virtualization, and cloud computing)\n\n - Keen situational awareness in customer situations, employing diplomacy and tact\n\n - Bachelors degree in EE, CS, Physics, Mathematics, or equivalent work experience\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"$240K – $356K • Multiple Ranges","scrapeableCompensationSalarySummary":"$240K - $356K","compensationTiers":[{"id":"d18cca0c-e989-4ce4-95fa-ff8cb967282e","tierSummary":"$267K – $356K","title":"San Francisco / San Jose","additionalInformation":null,"components":[{"id":"11c23638-fff7-43a1-9917-fbb86e60df40","summary":"$267K – $356K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":267000,"maxValue":356000}]},{"id":"10010137-d997-4685-a874-b315247763f9","tierSummary":"$240K – $320K","title":"Bellevue","additionalInformation":null,"components":[{"id":"1df8da4e-7327-49cb-b8a3-de7f8ac4789f","summary":"$240K – $320K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":240000,"maxValue":320000}]}],"summaryComponents":[{"minValue":240000,"maxValue":356000,"currencyCode":"USD","interval":"1 YEAR","compensationType":"Salary"}]}}],"apiVersion":"1"}