DS creates systems that power the next generation of radio spectrum intelligence. We collect radio data from all over the world, train neural networks to decipher it, and run them on the smallest chips we can. We’re solving a new, technically hard problem where nothing from other fields works out of the box, and along the way, we’ve built our own stack from scratch, including entirely new embedding model architectures, custom GPU kernels, and much more.
Joining DS means owning major parts of a fast-growing AI research organization, joining a collaborative, talent-dense team with decades of experience in probabilistic ML, accelerated computing, embedded systems, and signal theory, and growing your career in the areas that interest you. You’ll fit in if you want to come to work for the problem itself and don’t want to choose between technical rigor, business value, and real-world impact.
We work with high ownership and trust.
Growing DS all starts with the success of our Growth function. Roles in this department cover business development, government relations, mission operations, and strategy. They all drive impact.
This posting is not for a single, immediately open role but a way for us to meet people who want to own meaningful pieces of our Growth Department roadmap over the coming quarters. By applying, you’re raising your hand to be considered for future-based Growth roles as they open up, from strategy and operations to hands-on campaign and channel ownership.
Candidates may not be contacted right away; instead, we revisit this talent pool regularly and will reach out when there’s a specific opportunity that aligns with your experience and timing.
Fast learners over specific backgrounds – We care more about how quickly you can pick up new skills than where you’ve worked before.
Intellectual honesty – The right answer matters more than being right. You challenge assumptions, test ideas, and pivot when needed.
Adaptability – We’re organized, but sometimes things change quickly. You find a way to make it work and balance short-term deliverables with long-term goals.
Ownership of outcomes – You optimize your own time, focus on what matters to deliver quickly, and cut out inefficiencies.
Not building in a vacuum – You stay connected to the rest of our teams and our customers to make sure all the pieces fit together.
Above-market salary, equity, and benefits package.
Early Series A Equity
Excellent health, dental, and vision coverage
401(k) match - up to 4% of your salary
Flexible PTO
Daily office lunches in NYC
ITAR Requirements
To conform to U.S. Government technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.
DS creates systems that power the next generation of radio spectrum intelligence. We collect radio data from all over the world, train neural networks to decipher it, and run them on the smallest chips we can. We’re solving a new, technically hard problem where nothing from other fields works out of the box, and along the way, we’ve built our own stack from scratch, including entirely new embedding model architectures, custom GPU kernels, and much more.
Joining DS means owning major parts of a fast-growing AI research organization, joining a collaborative, talent-dense team with decades of experience in probabilistic ML, accelerated computing, embedded systems, and signal theory, and growing your career in the areas that interest you. You’ll fit in if you want to come to work for the problem itself and don’t want to choose between technical rigor, business value, and real-world impact.
We work with high ownership and trust.
Mission Operations at Distributed Spectrum will be at the heart of transforming raw RF data into actionable intelligence in operational environments. Empowered by AI-driven sensing, you’ll ensure operators can detect, understand, and respond to emerging threats at the edge. You’ll work on everything from deploying sensors in the field, integrating systems, and building operational toolchains to supporting customer missions in real time.
Operate and support live mission deployments, working with edge‑AI sensors to detect and classify threats from RF environments.
Lead hands-on field operations, including deployment planning, sensor configuration, testing, troubleshooting, and data validation.
Design and improve mission workflows, translating operator needs into technical specifications, products, and real-world capabilities.
Collaborate closely with engineering teams, feeding customer insights back to drive rapid iteration on sensor hardware, software, and AI models.
Drive training and documentation efforts, ensuring that internal teams and customers have the tools and knowledge to operate efficiently.
Support mission planning and execution, including preparing test scenarios, overseeing data collection during deployments, and coordinating post-mission debriefs.
Ensure data integrity and operational readiness, maintaining system health, monitoring performance, and contributing to continued development of our core platform.
Experience in mission operations or field engineering roles, ideally in RF, sensing, autonomy, or related domains.
Background in signal processing, communications engineering, or similar technical fields.
Proficiency with data collection workflows, operational tooling, dashboards, or field instrumentation.
Strong troubleshooting, adaptability, and an edge-case mindset.
Excellent communication and collaboration skills, comfortable with both technical teams and field operators.
Willingness to travel extensively and work in diverse, sometimes austere, environments.
Eligible for US security clearance
Military or government experience working with RF systems
Familiarity with tools for autonomous system integration
Experience with AI-informed, edge‑deployed sensors, or autonomy platforms.
Join early at a startup solving real-world RF detection challenges with cutting-edge AI.
Work in a fast-moving, operator-focused culture where ideas move from concept to deployment in weeks not years.
Be part of a team of cross-disciplinary problem solvers: visionaries, engineers, and field operators uniting on mission-critical impact.
Benefit from a supportive workplace that values autonomy, collaboration, and direct impact.
Fast learners over specific backgrounds – We care more about how quickly you can pick up new skills than where you’ve worked before.
Intellectual honesty – The right answer matters more than being right. You challenge assumptions, test ideas, and pivot when needed.
Adaptability – We’re organized, but sometimes things change quickly. You find a way to make it work and balance short-term deliverables with long-term goals.
Ownership of outcomes – You optimize your own time, focus on what matters to deliver quickly, and cut out inefficiencies.
Not building in a vacuum – You stay connected to the rest of our teams and our customers to make sure all the pieces fit together.
Above-market salary, equity, and benefits package.
Early Series A Equity
Excellent health, dental, and vision coverage
401(k) match - up to 4% of your salary
Flexible PTO
Daily office lunches in NYC
ITAR Requirements
To conform to U.S. Government technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.
DS creates systems that power the next generation of radio spectrum intelligence. We collect radio data from all over the world, train neural networks to decipher it, and run them on the smallest chips we can. We’re solving a new, technically hard problem where nothing from other fields works out of the box, and along the way, we’ve built our own stack from scratch, including entirely new embedding model architectures, custom GPU kernels, and much more.
Joining DS means owning major parts of a fast-growing AI research organization, joining a collaborative, talent-dense team with decades of experience in probabilistic ML, accelerated computing, embedded systems, and signal theory, and growing your career in the areas that interest you. You’ll fit in if you want to come to work for the problem itself and don’t want to choose between technical rigor, business value, and real-world impact.
We work with high ownership and trust.
Some domains already have standard ML playbooks. RF is not one of them.
Distributed Spectrum is building AI-enabled sensing systems for the radio domain, and we are hiring a Machine Learning Researcher, Specialist to bring modern ML to a problem space where representation, structure, physics, runtime constraints, and deployment realities all matter at once.
This role is designed for a strong generalist researcher who wants genuinely open technical terrain. You will work on problems where signal structure, propagation effects, interference, sparse visibility, and edge deployment constraints all shape what \"good\" looks like. The job is not just to improve accuracy. It is to formulate the right problem, find the right modeling approach, and get that capability into systems that are used in the field.
You will work across the lifecycle of research and deployment: data and evaluation design, experimentation, model development, release readiness, and iteration based on real-world outcomes. You will collaborate closely with embedded, hardware, and mission teammates, and your work will directly influence how Distributed Spectrum builds machine learning capability as the company scales.
Formulate new ML problems in RF sensing and spectrum understanding
Design experiments and evaluation approaches that reflect real operating conditions including domain shift, changing interference, and varying sensors and platforms
Build models for structured, noisy, and partially observed signal environments
Improve robustness across propagation, interference, and low-visibility waveform conditions
Optimize models for throughput, latency, and deployment constraints
Move promising research into a release path for real systems through proofs-of-concept, realistic validation, and conversion into maintainable, deployable code
Use field performance to inform the next generation of models and tooling
Deep mathematical and modeling fundamentals
Strong hands-on experience with modern ML frameworks and experimental practice
Ability to work in domains where problem formulation is as important as implementation
Strong instincts for signal-rich, structured, non-generic data
Comfort operating with ambiguity and changing requirements
Clear technical communication and cross-functional collaboration
Background in RF or signal-centric ML (spectrum sensing, modulation recognition, or related work) is welcome but not required; we are equally interested in researchers from adjacent domains who have demonstrated strong reasoning on hard signal or sensing problems
Experience building for constrained inference (quantization, kernel-level optimizations, or similar)
Evidence of research impact: publications, open-source implementations, or prior work building new architectures that shipped
Fast learners over specific backgrounds – We care more about how quickly you can pick up new skills than where you’ve worked before.
Intellectual honesty – The right answer matters more than being right. You challenge assumptions, test ideas, and pivot when needed.
Adaptability – We’re organized, but sometimes things change quickly. You find a way to make it work and balance short-term deliverables with long-term goals.
Ownership of outcomes – You optimize your own time, focus on what matters to deliver quickly, and cut out inefficiencies.
Not building in a vacuum – You stay connected to the rest of our teams and our customers to make sure all the pieces fit together.
Above-market salary, equity, and benefits package.
Early Series A Equity
Excellent health, dental, and vision coverage
401(k) match - up to 4% of your salary
Flexible PTO
Daily office lunches in NYC
ITAR Requirements
To conform to U.S. Government technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.
DS creates systems that power the next generation of radio spectrum intelligence. We collect radio data from all over the world, train neural networks to decipher it, and run them on the smallest chips we can. We’re solving a new, technically hard problem where nothing from other fields works out of the box, and along the way, we’ve built our own stack from scratch, including entirely new embedding model architectures, custom GPU kernels, and much more.
Joining DS means owning major parts of a fast-growing AI research organization, joining a collaborative, talent-dense team with decades of experience in probabilistic ML, accelerated computing, embedded systems, and signal theory, and growing your career in the areas that interest you. You’ll fit in if you want to come to work for the problem itself and don’t want to choose between technical rigor, business value, and real-world impact.
We work with high ownership and trust.
As a Mission Operations Engineer at Distributed Spectrum, you will be at the heart of transforming raw RF data into actionable intelligence in operational environments. Empowered by AI-driven sensing, you’ll ensure operators can detect, understand, and respond to emerging threats at the edge. You’ll work on everything from deploying sensors in the field, integrating systems, and building operational toolchains to supporting customer missions in real time.
Operate and support live mission deployments, working with edge‑AI sensors to detect and classify threats from RF environments.
Lead hands-on field operations, including deployment planning, sensor configuration, testing, troubleshooting, and data validation.
Design and improve mission workflows, translating operator needs into technical specifications, products, and real-world capabilities.
Collaborate closely with engineering teams, feeding customer insights back to drive rapid iteration on sensor hardware, software, and AI models.
Drive training and documentation efforts, ensuring that internal teams and customers have the tools and knowledge to operate efficiently.
Support mission planning and execution, including preparing test scenarios, overseeing data collection during deployments, and coordinating post-mission debriefs.
Ensure data integrity and operational readiness, maintaining system health, monitoring performance, and contributing to continued development of our core platform.
Experience in mission operations or field engineering roles, ideally in RF, sensing, autonomy, or related domains.
Background in signal processing, communications engineering, or similar technical fields.
Proficiency with data collection workflows, operational tooling, dashboards, or field instrumentation.
Strong troubleshooting, adaptability, and an edge-case mindset.
Excellent communication and collaboration skills, comfortable with both technical teams and field operators.
Willingness to travel extensively and work in diverse, sometimes austere, environments.
Eligible for US security clearance
Military or government experience working with RF systems
Familiarity with tools for autonomous system integration
Experience with AI-informed, edge‑deployed sensors, or autonomy platforms.
Join early at a startup solving real-world RF detection challenges with cutting-edge AI.
Work in a fast-moving, operator-focused culture where ideas move from concept to deployment in weeks not years.
Be part of a team of cross-disciplinary problem solvers: visionaries, engineers, and field operators uniting on mission-critical impact.
Benefit from a supportive workplace that values autonomy, collaboration, and direct impact.
Fast learners over specific backgrounds – We care more about how quickly you can pick up new skills than where you’ve worked before.
Intellectual honesty – The right answer matters more than being right. You challenge assumptions, test ideas, and pivot when needed.
Adaptability – We’re organized, but sometimes things change quickly. You find a way to make it work and balance short-term deliverables with long-term goals.
Ownership of outcomes – You optimize your own time, focus on what matters to deliver quickly, and cut out inefficiencies.
Not building in a vacuum – You stay connected to the rest of our teams and our customers to make sure all the pieces fit together.
Above-market salary, equity, and benefits package.
Early Series A Equity
Excellent health, dental, and vision coverage
401(k) match - up to 4% of your salary
Flexible PTO
Daily office lunches in NYC
ITAR Requirements
To conform to U.S. Government technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.
DS creates systems that power the next generation of radio spectrum intelligence. We collect radio data from all over the world, train neural networks to decipher it, and run them on the smallest chips we can. We’re solving a new, technically hard problem where nothing from other fields works out of the box, and along the way, we’ve built our own stack from scratch, including entirely new embedding model architectures, custom GPU kernels, and much more.
Joining DS means owning major parts of a fast-growing AI research organization, joining a collaborative, talent-dense team with decades of experience in probabilistic ML, accelerated computing, embedded systems, and signal theory, and growing your career in the areas that interest you. You’ll fit in if you want to come to work for the problem itself and don’t want to choose between technical rigor, business value, and real-world impact.
We work with high ownership and trust.
Responsible for the design, evaluation, and optimization of RF systems, supporting mission-driven applications in complex electromagnetic environments. Owns RF system design and end-to-end performance, leading RF efforts on cross-functional teams during design, development, test and deployment of DS Systems. This role integrates RF modeling, synthetic and hardware-in-the-loop data generation, hardware validation, and experimental analysis to inform system architecture designs under real-world constraints. Requires a strong foundation in RF systems, electromagnetic wave propagation, and RF communication modulation schemes as well as demonstrated collaboration and communication skills within multidisciplinary teams.
RF Hardware
• Drive technical direction and execution of RF efforts, independently identifying priorities, risks, and trade-offs in ambiguous environments
• Own end-to-end RF system performance across prototype platforms—from early concept through testing, validation, and iteration
• Lead the development of EMI/EMC mitigation and RF hardening strategies, ensuring robust performance in complex electromagnetic environments
• Design and optimize RF systems under real-world constraints, including hardware limitations, interference, and congested spectrum conditions
• Design and execute experiments to characterize performance, validate models, and uncover failure modes
RF Simulation
• Build and maintain RF simulation frameworks (antenna models, propagation models, channel simulations) to evaluate system design decisions
• Translate experimental and simulation results into clear, actionable insights that influence system architecture and operational decisions
• Collaborate deeply across disciplines—including Machine Learning, hardware, and mission teams—to align system design with algorithm development and operational needs
• Enable and support cross-functional teams by generating high-quality RF datasets and providing domain expertise for modeling, ML validation, and system integration
Deployment Planning
• Shape operational concepts in partnership with cross-functional stakeholders to ensure advertised performance is achievable in real-world deployments
• Demonstrated experience owning technical projects or system components end-to-end
• Experience with RF simulation tools (HFSS, CST, MATLAB, GNU Radio, etc.)
• Hands-on experience with general electronics laboratory test equipment (spectrum analyzers, signal generators, vector network analyzers, oscilloscopes, etc.)
• Relevant experience designing and assembling RF signal chains for laboratory testing, including the use of filters, mixers, splitters, couplers, amplifiers, etc.
• Familiarity with software-defined radio platforms and real-world RF hardware applications
• Strong communication skills with the ability to translate complex RF concepts to non-specialists
BS or higher or equivalent experience Electrical Engineering or Physics or similar
Experience working with Electronic Warfare Systems
Familiarity with python and/or linux shell scripting
Prior experience in a defense or government context
Willingness to travel outside the lab for field experimentation and exercise support.
Fast learners over specific backgrounds – We care more about how quickly you can pick up new skills than where you’ve worked before.
Intellectual honesty – The right answer matters more than being right. You challenge assumptions, test ideas, and pivot when needed.
Adaptability – We’re organized, but sometimes things change quickly. You find a way to make it work and balance short-term deliverables with long-term goals.
Ownership of outcomes – You optimize your own time, focus on what matters to deliver quickly, and cut out inefficiencies.
Not building in a vacuum – You stay connected to the rest of our teams and our customers to make sure all the pieces fit together.
Above-market salary, equity, and benefits package.
Early Series A Equity
Excellent health, dental, and vision coverage
401(k) match - up to 4% of your salary
Flexible PTO
Daily office lunches in NYC
ITAR Requirements
To conform to U.S. Government technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.
DS creates systems that power the next generation of radio spectrum intelligence. We collect radio data from all over the world, train neural networks to decipher it, and run them on the smallest chips we can. We’re solving a new, technically hard problem where nothing from other fields works out of the box, and along the way, we’ve built our own stack from scratch, including entirely new embedding model architectures, custom GPU kernels, and much more.
Joining DS means owning major parts of a fast-growing AI research organization, joining a collaborative, talent-dense team with decades of experience in probabilistic ML, accelerated computing, embedded systems, and signal theory, and growing your career in the areas that interest you. You’ll fit in if you want to come to work for the problem itself and don’t want to choose between technical rigor, business value, and real-world impact.
We work with high ownership and trust.
We are hiring an Associate Director, Business Development - Army to build and convert opportunities across the U.S. Army.
This hands-on role requires someone who can enter an unfamiliar Army organization, identify key stakeholders, understand how requirements and funding move, and create a credible path toward a funded opportunity. Success will depend on hunting, research, relationship building, and comfort navigating ambiguity.
The strongest candidate understands the Army from direct experience and can translate that knowledge into disciplined commercial execution. Knowing where to go, how to build credibility, and how to identify another entry point when an initial approach stalls will be critical.
You will own opportunities from customer discovery through pilot development, proposal submission, source selection, and follow-on expansion, partnering across Engineering, Mission Operations, leadership, contracting stakeholders, and external partners.
Build and manage an Army-focused pipeline from opportunity identification through proposal submission, source selection, and expansion.
Develop net-new relationships across operational units, program offices, requirements organizations, acquisition communities, contracting organizations, and technical stakeholders.
Research customer structures, decision-makers, mission priorities, budgets, acquisition pathways, incumbents, and competitors.
Create stakeholder maps and engagement strategies identifying champions, blockers, decision-makers, funding owners, and alternative entry points.
Develop informed perspectives on where Distributed Spectrum can address meaningful Army mission problems and how those opportunities should be pursued.
Translate operational problems into opportunity strategies, technical narratives, requirements, acquisition approaches, and measurable mission outcomes.
Scope pilots, demonstrations, exercises, experimentation efforts, and user evaluations that prove mission value and can transition into larger programs.
Develop strategies for converting successful pilots into follow-on contracts, production opportunities, or broader adoption across Army organizations.
Develop win strategies covering customer engagement, competitive positioning, teaming, decision timelines, and proposal execution.
Own assigned proposals, coordinate cross-functional inputs, and lead gate reviews, bid/no-bid recommendations, action tracking, and submission readiness.
Communicate Distributed Spectrum’s capabilities to operational, technical, acquisition, and executive audiences.
Maintain clear account documentation, identify alternative paths when an approach stalls, and provide insights that inform strategy and product positioning.
Represent Distributed Spectrum during frequent travel and periodic work in secure or classified environments.
You have five or more years of relevant experience owning outcomes in military, defense, national security, defense technology, operational, technical, or commercial environments.
You bring relevant U.S. Army experience or demonstrated success working directly with Army customers in business development, growth, deployment strategy, mission operations, or program strategy.
You understand how Army formations identify mission needs, establish requirements, evaluate capabilities, fund experimentation, and transition technologies into sustained programs.
You can navigate unfamiliar organizations, determine who matters, understand how decisions are made, identify where funding resides, and use stakeholder mapping to resolve blockers.
You can build net-new customer relationships rather than relying primarily on inherited accounts or an existing personal network.
You can turn incomplete information into a clear recommendation, credible plan, and concrete next steps.
You are self-directed, comfortable acting on a strong 70% solution, and able to refine your approach as new information emerges.
You combine deep research with effective hunting and relationship building.
You communicate clearly through customer conversations, proposals, presentations, technical narratives, and executive updates.
You demonstrate strong follow-through, prioritization, attention to detail, and stakeholder management.
You can accurately communicate Distributed Spectrum’s RF sensing, edge processing, AI/ML, data integration, and operational employment concepts.
You are comfortable in a fast-moving, early-stage environment and can build credibility with operators, engineers, acquisition professionals, and company leadership.
You can perform the role’s essential functions, including frequent travel and periodic work in secure or classified environments, with or without reasonable accommodation.
Active Top Secret clearance required; SCI eligibility preferred.
Experience serving in or directly supporting the U.S. Army, including Infantry, Special Forces, Military Intelligence, Electronic Warfare, Signal, SIGINT, CEMA, tactical communications, or a related operational community.
Experience as an Army officer, warrant officer, NCO, or senior enlisted leader with exposure to operational planning, requirements development, experimentation, or capability integration.
Two or more years of experience in a startup or growth-stage defense technology company.
Experience as a deployment strategist, forward-deployed operator, mission success lead, solutions professional, technical program strategist, or technical contributor in a customer-facing role.
Experience creating customer access where no obvious entry point existed.
Experience converting pilots, demonstrations, exercises, or experimentation efforts into funded follow-on opportunities.
Experience building net-new customer relationships and developing account, teaming, proposal, pricing, or subcontractor strategies.
Familiarity with OTAs, SBIR Phase III, BAAs, STRATFI, TACFI, xTech, DIU, or similar pathways.
Familiarity with RF sensing, EW, SIGINT, edge AI, tactical data integration, mission systems, or field-deployed sensing technologies.
Active TS/SCI eligibility or experience in classified customer environments.
During your first six to twelve months, you will:
Develop a business development strategy for assigned Army customer communities.
Build credible relationships with net-new operational, acquisition, program, and technical stakeholders.
Establish a qualified pipeline supported by account research, stakeholder maps, engagement plans, and clear next actions.
Advance at least one pilot, demonstration, evaluation, or customer engagement toward a funded opportunity and broader program.
Become a trusted source of Army customer, acquisition, and competitive insight while creating momentum without a complete playbook.
Fast learners over specific backgrounds – We care more about how quickly you can pick up new skills than where you’ve worked before.
Intellectual honesty – The right answer matters more than being right. You challenge assumptions, test ideas, and pivot when needed.
Adaptability – We’re organized, but sometimes things change quickly. You find a way to make it work and balance short-term deliverables with long-term goals.
Ownership of outcomes – You optimize your own time, focus on what matters to deliver quickly, and cut out inefficiencies.
Not building in a vacuum – You stay connected to the rest of our teams and our customers to make sure all the pieces fit together.
Above-market salary, equity, and benefits package.
Early Series A Equity
Excellent health, dental, and vision coverage
401(k) match - up to 4% of your salary
Flexible PTO
Daily office lunches in NYC
ITAR Requirements
To conform to U.S. Government technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.
DS creates systems that power the next generation of radio spectrum intelligence. We collect radio data from all over the world, train neural networks to decipher it, and run them on the smallest chips we can. We’re solving a new, technically hard problem where nothing from other fields works out of the box, and along the way, we’ve built our own stack from scratch, including entirely new embedding model architectures, custom GPU kernels, and much more.
Joining DS means owning major parts of a fast-growing AI research organization, joining a collaborative, talent-dense team with decades of experience in probabilistic ML, accelerated computing, embedded systems, and signal theory, and growing your career in the areas that interest you. You’ll fit in if you want to come to work for the problem itself and don’t want to choose between technical rigor, business value, and real-world impact.
We work with high ownership and trust.
We're looking for an Operations Associate, Growth to be the connective tissue between our fast-moving, frequently traveling Growth team and the rest of the company.
This is a role for someone who loves being in the middle of the action: organizing complicated logistics, anticipating what’s next, solving problems before they become problems, and making sure nothing falls through the cracks. You genuinely like logistics and being the person who keeps things moving.
You’ll own the operational details behind a team that spends significant time on the road meeting customers and building the business. That means coordinating travel, chasing down answers, navigating last-minute changes, and making sure teams across the company have the information they need.
The right person will have real ownership from the start, with more autonomy as you build trust. We’re looking for someone hungry, resourceful, and excited to grow with the company.
Own travel logistics for the Growth team, including flights, hotels, ground transportation, changes, and day-of issues
Chase down missing information from the team and make sure the right people across the company have the information they need
Build familiarity with our key customers and projects, help maintain those relationships, and keep important information organized and up to date
Maintain key trip details in one organized, visible place so everyone at the company has accurate, up-to-date information
Keep upcoming trips and events moving, even while the Growth team is on the ground elsewhere
Serve as the main point of contact for Growth’s travel-related operational needs
Stay ahead of changing plans and solve issues quickly when things move at the last minute
Build simple, repeatable processes that make travel and coordination easier over time
Provide light calendar, inbox, and administrative support to a senior leader
Highly organized, with a genuine interest in keeping track of details, logistics, and moving pieces
Proactive, comfortable chasing down what's missing and following up with people at any level of the company, holding your ground when something needs attention
Resourceful and calm under pressure, especially when plans change at the last minute
Clear and concise communication, with good judgment about when to escalate something
Willing to ask questions and learn what you don't already know, even in conversations with technical teams
Energized by unpredictability and the pace of startup life
Strong sense of ownership and a habit of following things through to completion
Interested in building simple systems and processes that make things run better the next time
Strong judgment and discretion, especially when handling sensitive information
1-3 years of experience in operations, coordination, administrative support, hospitality, events, or another detail-heavy role
Fast learners over specific backgrounds – We care more about how quickly you can pick up new skills than where you’ve worked before.
Intellectual honesty – The right answer matters more than being right. You challenge assumptions, test ideas, and pivot when needed.
Adaptability – We’re organized, but sometimes things change quickly. You find a way to make it work and balance short-term deliverables with long-term goals.
Ownership of outcomes – You optimize your own time, focus on what matters to deliver quickly, and cut out inefficiencies.
Not building in a vacuum – You stay connected to the rest of our teams and our customers to make sure all the pieces fit together.
Above-market salary, equity, and benefits package.
Early Series A Equity
Excellent health, dental, and vision coverage
401(k) match - up to 4% of your salary
Flexible PTO
Daily office lunches in NYC
ITAR Requirements
To conform to U.S. Government technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.
DS creates systems that power the next generation of radio spectrum intelligence. We collect radio data from all over the world, train neural networks to decipher it, and run them on the smallest chips we can. We’re solving a new, technically hard problem where nothing from other fields works out of the box, and along the way, we’ve built our own stack from scratch, including entirely new embedding model architectures, custom GPU kernels, and much more.
Joining DS means owning major parts of a fast-growing AI research organization, joining a collaborative, talent-dense team with decades of experience in probabilistic ML, accelerated computing, embedded systems, and signal theory, and growing your career in the areas that interest you. You’ll fit in if you want to come to work for the problem itself and don’t want to choose between technical rigor, business value, and real-world impact.
We work with high ownership and trust.
We’re hiring someone who brings clear thinking and relentless follow-through to critical work happening across the company.
You'll report directly to the COO and work across engineering, research, product, and growth. Your job is to make sure that everyone working on an effort understands what success looks like, that there's a concrete plan to get there, and that the work happening today still supports that plan. You'll keep asking whether those things are true as new information comes in.
This is a hands-on individual contributor role for someone who wants real responsibility early. You'll help turn technical work into capabilities people can use, work directly from founders and senior leaders, and take on more as you earn trust. If you want to build a company yourself someday, this is a chance to learn by helping build one.
Make success explicit. Help founders and project owners agree on concrete, written success criteria. Check that everyone means the same thing by progress and readiness.
Get to the substance. Read plans and results, talk to the people doing the work, and assess progress for yourself.
Stay ahead of dependencies and drift. Track owners, handoffs, and work needed now for milestones months away. When plans shift, make sure everyone understands what happens next.
Turn uncertainty into decisions. Resolve routine coordination gaps. Bring leaders the evidence, tradeoffs, and decisions that need their judgment, while keeping technical and growth decisions with their owners.
Keep the shared picture accurate. Keep project records current, conversations focused, and decisions documented. Follow through on commitments and keep coordination overhead low.
Close the loop on evidence. Get test results and field observations to the right people. Check their implications for upcoming milestones and agreed success criteria.
You think clearly. Break messy problems into their important parts, separate facts from assumptions, and identify what to find out next.
You create clarity. Distill conflicting explanations into a concise account of what's happening, what's uncertain, and what needs attention.
You're technically curious and learn quickly. Follow technical conversations, ask basic questions freely, and learn what you're missing until you understand the answer.
You earn trust through useful work. Understand people's constraints, spot gaps, and help them move forward. Follow up at every level and do the unglamorous work.
You're fluent with AI tools. Use tools like Claude to learn, synthesize information, and automate repetitive work. Verify the output and own its accuracy.
Your background could be engineering, consulting, investing, program management, military leadership, or operations at another startup. You may be only a year or two into your career. What matters is a pattern of taking on hard problems, doing unusually good work, and earning responsibility quickly.
Intellectual honesty. Question what doesn't make sense, including with your boss. Say \"I was wrong\" and change your mind when the evidence changes.
High standards, low ego. Care about getting to a sound answer together. Stay level-headed under pressure and disagreement.
Ownership. Notice what needs doing, act, and follow through. Raise uncomfortable news early.
Ambition and curiosity. Seek hard problems, learn from those around you, and take on increasing responsibility.
Fast learners over specific backgrounds – We care more about how quickly you can pick up new skills than where you’ve worked before.
Intellectual honesty – The right answer matters more than being right. You challenge assumptions, test ideas, and pivot when needed.
Adaptability – We’re organized, but sometimes things change quickly. You find a way to make it work and balance short-term deliverables with long-term goals.
Ownership of outcomes – You optimize your own time, focus on what matters to deliver quickly, and cut out inefficiencies.
Not building in a vacuum – You stay connected to the rest of our teams and our customers to make sure all the pieces fit together.
Above-market salary, equity, and benefits package.
Early Series A Equity
Excellent health, dental, and vision coverage
401(k) match - up to 4% of your salary
Flexible PTO
Daily office lunches in NYC
ITAR Requirements
To conform to U.S. Government technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.
DS creates systems that power the next generation of radio spectrum intelligence. We collect radio data from all over the world, train neural networks to decipher it, and run them on the smallest chips we can. We’re solving a new, technically hard problem where nothing from other fields works out of the box, and along the way, we’ve built our own stack from scratch, including entirely new embedding model architectures, custom GPU kernels, and much more.
Joining DS means owning major parts of a fast-growing AI research organization, joining a collaborative, talent-dense team with decades of experience in probabilistic ML, accelerated computing, embedded systems, and signal theory, and growing your career in the areas that interest you. You’ll fit in if you want to come to work for the problem itself and don’t want to choose between technical rigor, business value, and real-world impact.
We work with high ownership and trust.
We're hiring a Senior Backend Engineer to design and build the services that sit at the heart of the Distributed Spectrum platform: the systems that ingest spectrum data, orchestrate ML inference, and increasingly, power autonomous agents that reason over what our sensors see. You'll define how our backend evolves from a set of services into an agent-native system — one where models, tools, and workflows are first-class citizens of the architecture rather than bolted-on integrations.
This is a high-ownership role. You'll set technical direction, make architecture decisions that stick for years, and mentor engineers around you.
Design, build, and operate backend services that are reliable, observable, and built to scale with our sensor fleet and customer base.
Architect the agent layer of our platform: tool-calling interfaces, orchestration, state management, memory, and evaluation harnesses for LLM- and model-driven agents.
Own the ML inference architecture — model serving, batching, GPU/CPU scheduling, latency and cost optimization, and the APIs that expose inference to the rest of the system.
Define service boundaries, data contracts, and API standards across the backend.
Build for production: instrumentation, alerting, graceful degradation, and clear runbooks.
Partner closely with ML researchers to move models from experiment to production quickly and safely.
Lead design reviews, mentor engineers, and raise the bar on code quality and engineering practice.
4–6+ years of professional software engineering experience, with significant time spent building and running backend / distributed systems in production.
Strong proficiency in at least one of Python, Go, Rust, or a similar systems-capable language; comfort moving between languages.
Hands-on experience with AWS or another major cloud provider (GCP, Azure) — compute, networking, storage, IAM, and managed data services.
Experience building or integrating LLM / agent systems: tool use, orchestration frameworks, RAG, evaluation, or comparable work.
Experience serving ML models in production (e.g., Triton, TorchServe, vLLM, custom serving) and reasoning about throughput, latency, and cost.
Deep understanding of APIs (REST / gRPC), async processing, message queues / streaming (Kafka, SQS, Kinesis, etc.), and data consistency trade-offs.
Track record of owning systems end to end and making architecture decisions with long-lived consequences.
Experience with containers and orchestration (Docker, Kubernetes, ECS).
Background in signal processing, RF, geospatial, or other high-volume time-series domains.
Experience with GPU programming or accelerated computing.
Familiarity with regulated or defense-adjacent environments and their security expectations.
Fast learners over specific backgrounds – We care more about how quickly you can pick up new skills than where you’ve worked before.
Intellectual honesty – The right answer matters more than being right. You challenge assumptions, test ideas, and pivot when needed.
Adaptability – We’re organized, but sometimes things change quickly. You find a way to make it work and balance short-term deliverables with long-term goals.
Ownership of outcomes – You optimize your own time, focus on what matters to deliver quickly, and cut out inefficiencies.
Not building in a vacuum – You stay connected to the rest of our teams and our customers to make sure all the pieces fit together.
Above-market salary, equity, and benefits package.
Early Series A Equity
Excellent health, dental, and vision coverage
401(k) match - up to 4% of your salary
Flexible PTO
Daily office lunches in NYC
ITAR Requirements
To conform to U.S. Government technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.
DS creates systems that power the next generation of radio spectrum intelligence. We collect radio data from all over the world, train neural networks to decipher it, and run them on the smallest chips we can. We’re solving a new, technically hard problem where nothing from other fields works out of the box, and along the way, we’ve built our own stack from scratch, including entirely new embedding model architectures, custom GPU kernels, and much more.
Joining DS means owning major parts of a fast-growing AI research organization, joining a collaborative, talent-dense team with decades of experience in probabilistic ML, accelerated computing, embedded systems, and signal theory, and growing your career in the areas that interest you. You’ll fit in if you want to come to work for the problem itself and don’t want to choose between technical rigor, business value, and real-world impact.
We work with high ownership and trust.
Everything DS ship; inference services, data pipelines, agents, and the UI, it all runs on infrastructure this role owns. We're hiring a Platform Engineer to build the foundation that lets a fast-moving team deploy many times a day, scale to meet unpredictable load, and do it all securely.
You'll own our CI/CD, infrastructure-as-code, and cloud deployment strategy, and you'll bring a DevSecOps mindset to how we build: security and compliance as part of the pipeline, not a gate at the end.
Design, build, and operate our cloud infrastructure across environments using infrastructure-as-code; make it reproducible, reviewable, and easy to evolve.
Own CI/CD end to end: build pipelines, artifact management, testing gates, progressive delivery, and rollback strategies for services, ML models, and data jobs.
Automate infrastructure scaling and deployments, autoscaling for GPU and CPU workloads, capacity planning, and cost controls that keep our cloud spend proportional to value.
Embed security into the platform: secrets management, IAM and least-privilege access, vulnerability scanning, dependency and container hardening, policy-as-code, and audit logging.
Build observability as a platform capability: metrics, logs, tracing, alerting, and SLOs that engineers can adopt with minimal friction.
Run large-scale cloud deployments reliably, including incident response and post-incident improvements.
Create developer tooling and paved paths so product engineers can ship safely without becoming infrastructure experts.
4+ years of experience in platform, infrastructure, DevOps, or SRE roles supporting production systems at meaningful scale.
Hands-on DevSecOps experience and integrating security scanning, secrets handling, access control, and compliance checks directly into delivery pipelines.
Deep experience with CI/CD tooling (GitHub Actions, GitLab CI, Buildkite, ArgoCD, Jenkins, etc.) and deployment strategies (blue/green, canary, feature flags).
Strong experience with AWS (or GCP / Azure) at scale — compute, networking, storage, IAM, managed Kubernetes, and cost management.
Expert-level infrastructure-as-code skills with Terraform, Pulumi, CloudFormation / CDK, or similar; plus configuration management or GitOps workflows.
Experience with containers and orchestration (Docker, Kubernetes, Helm) in production, including autoscaling and multi-environment management.
Solid programming ability in Python, Go, or Bash for automation and tooling.
Strong operational instincts: you think about failure modes, blast radius, and recover-ability before they become incidents.
Experience running GPU workloads and ML infrastructure in the cloud.
Experience with compliance frameworks and secure or air-gapped deployments (e.g., FedRAMP, CMMC, IL environments).
Familiarity with edge / hybrid deployments where cloud infrastructure coordinates with on-device or on-prem systems.
Experience with observability stacks (Prometheus, Grafana, OpenTelemetry, Datadog).
Fast learners over specific backgrounds – We care more about how quickly you can pick up new skills than where you’ve worked before.
Intellectual honesty – The right answer matters more than being right. You challenge assumptions, test ideas, and pivot when needed.
Adaptability – We’re organized, but sometimes things change quickly. You find a way to make it work and balance short-term deliverables with long-term goals.
Ownership of outcomes – You optimize your own time, focus on what matters to deliver quickly, and cut out inefficiencies.
Not building in a vacuum – You stay connected to the rest of our teams and our customers to make sure all the pieces fit together.
Above-market salary, equity, and benefits package.
Early Series A Equity
Excellent health, dental, and vision coverage
401(k) match - up to 4% of your salary
Flexible PTO
Daily office lunches in NYC
ITAR Requirements
To conform to U.S. Government technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.
DS creates systems that power the next generation of radio spectrum intelligence. We collect radio data from all over the world, train neural networks to decipher it, and run them on the smallest chips we can. We’re solving a new, technically hard problem where nothing from other fields works out of the box, and along the way, we’ve built our own stack from scratch, including entirely new embedding model architectures, custom GPU kernels, and much more.
Joining DS means owning major parts of a fast-growing AI research organization, joining a collaborative, talent-dense team with decades of experience in probabilistic ML, accelerated computing, embedded systems, and signal theory, and growing your career in the areas that interest you. You’ll fit in if you want to come to work for the problem itself and don’t want to choose between technical rigor, business value, and real-world impact.
We work with high ownership and trust.
DS collects radio data at a scale few organizations ever see — continuous, high-rate streams from sensors around the globe. We're hiring a Senior Data Engineer to design the platform that turns that firehose into an asset: a data lakehouse that serves researchers training models, production systems running inference, and agents retrieving context in real time.
You'll own the architecture from ingestion through storage, cataloging, vector search, and access, and you'll design it explicitly for AI/ML workloads, not just analytics.
Architect and build our data lakehouse: ingestion pipelines, open table formats, partitioning and compaction strategies, cataloging, and governance.
Design and operate vector database infrastructure for embedding storage, similarity search, and retrieval at scale — choosing, tuning, and evolving the right systems for our workloads.
Build large-scale data management systems: lifecycle and retention, lineage, versioning of datasets for reproducible training, quality monitoring, and cost management across petabyte-class storage.
Design data platform capabilities that directly support ML use cases — feature and embedding pipelines, training-set assembly, evaluation datasets, and low-latency retrieval for agents.
Establish schema and data-contract standards across teams, and build tooling that lets researchers and engineers self-serve.
Own reliability and performance of data pipelines in production, including observability and failure handling.
Mentor engineers and lead technical design across the data domain.
4–6+ years of software / data engineering experience, including several years designing and operating large-scale data platforms in production.
Deep experience with lakehouse architectures and technologies — e.g., Apache Iceberg, Delta Lake, or Hudi; Parquet; Spark, Flink, Trino, DuckDB, or similar engines.
Hands-on experience with vector databases and embedding retrieval (e.g., pgvector, Milvus, Qdrant, Weaviate, Pinecone, LanceDB, or FAISS-based systems), including indexing trade-offs and scaling.
Strong experience with AWS or another major cloud provider — object storage, managed data services, compute, and cost optimization at scale.
Fluency in Python and SQL; experience with orchestration tools (Airflow, Dagster, Prefect, Step Functions, etc.).
Demonstrated experience designing data architectures specifically for ML / AI workloads: training data pipelines, feature stores, dataset versioning, or retrieval systems.
Strong grasp of data modeling, consistency, and the trade-offs between batch and streaming.
Experience with streaming ingestion at high volume (Kafka, Kinesis, Pulsar).
Experience with time-series, geospatial, or signal / sensor data.
Familiarity with data governance and security requirements in regulated environments.
Experience with Rust, Go, or C++ for performance-critical data paths.
Fast learners over specific backgrounds – We care more about how quickly you can pick up new skills than where you’ve worked before.
Intellectual honesty – The right answer matters more than being right. You challenge assumptions, test ideas, and pivot when needed.
Adaptability – We’re organized, but sometimes things change quickly. You find a way to make it work and balance short-term deliverables with long-term goals.
Ownership of outcomes – You optimize your own time, focus on what matters to deliver quickly, and cut out inefficiencies.
Not building in a vacuum – You stay connected to the rest of our teams and our customers to make sure all the pieces fit together.
Above-market salary, equity, and benefits package.
Early Series A Equity
Excellent health, dental, and vision coverage
401(k) match - up to 4% of your salary
Flexible PTO
Daily office lunches in NYC
ITAR Requirements
To conform to U.S. Government technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.
DS creates systems that power the next generation of radio spectrum intelligence. We collect radio data from all over the world, train neural networks to decipher it, and run them on the smallest chips we can. We’re solving a new, technically hard problem where nothing from other fields works out of the box, and along the way, we’ve built our own stack from scratch, including entirely new embedding model architectures, custom GPU kernels, and much more.
Joining DS means owning major parts of a fast-growing AI research organization, joining a collaborative, talent-dense team with decades of experience in probabilistic ML, accelerated computing, embedded systems, and signal theory, and growing your career in the areas that interest you. You’ll fit in if you want to come to work for the problem itself and don’t want to choose between technical rigor, business value, and real-world impact.
We work with high ownership and trust.
We are hiring an Engineering Manager (Embedded) to lead the team that builds the software running on our sensors. This is the team accountable for everything that happens on the device: the embedded Linux platform, the interfaces to our hardware, the runtime that executes our models on the smallest chips we can, and the reliability of every unit we have deployed in the field.
This is a people-leader-first, technically-deep role. You are not expected to be writing production code day to day. You are expected to be technical enough to own the architecture alongside your team, review a design and find the thing that will break in the field, hold a line on a decision about memory, timing, or hardware interaction, and be trusted by your engineers as a technical peer rather than a coordinator.
Our product operates where embedded systems, machine learning, and hardware meet the real world. Decisions about memory, power, thermal budget, timing, and connectivity surface directly in what the customer experiences. There is no clean separation between the device and the product, and the constraints of the sensor are the constraints of the business. This is an on-site role with our in-person NYC team.
The embedded and edge software platform: embedded Linux, the build and image toolchain, service orchestration, and the software running on every sensor we ship
The hardware and software boundary: board bring-up, driver and interface work, and the path from a new hardware revision to shipping software
On-sensor model deployment: the runtime, tooling, and pipeline that get our models onto constrained compute and keep them fast
Field and deployment reliability: OTA updates, fleet health, and what actually happens on hardware nobody can physically touch
The embedded roadmap and its execution, tied to annual company goals
A team of embedded software engineers you will coach, develop, and hire
Own the roadmap and delivery for embedded, and turn broad direction into clear objectives your team can execute against
Hold the technical bar: review architecture, ask the question nobody else is asking, and surface the right tradeoffs to our Head of Engineering.
Coach engineers on technical judgment and ownership, not just execution
Hire and interview embedded and systems engineers as the team grows
Partner with ML, RF, hardware, and mission operations so the device, the model, and the customer deployment stay in sync
Own company goals and drive execution through ambiguity
Software that behaves predictably on hardware in the field, under real power, thermal, and connectivity constraints
A shorter, more repeatable path from a new hardware revision to shipping software
Updates that reach deployed sensors without a person on site and without anyone holding their breath
Engineers who are growing in technical judgment and ownership
Embedded decisions that hold up as the fleet, the team, and the product grow
You are someone who:
Has led embedded, firmware, or systems engineers, and wants to keep leading them
Came up as a strong embedded or systems engineer and never lost the instinct
Thinks in systems, not just frameworks, and knows how the OS, memory, hardware, and network interact
Can hold a technical position with a senior engineer without writing the code yourself
Has shipped software onto hardware that lives somewhere you cannot reach
Is comfortable with hardware timelines, board revisions, and problems that are still bein defined
Is eligible for a United States Security Clearance
You've worked meaningfully with:
Embedded Linux (kernel space and user space) or real time operating systems
C, C++, and Python
Yocto, Buildroot, or other embedded Linux toolchains
Docker, systemd, or other service orchestration mechanisms
IP networking fundamentals and system-level debugging on constrained devices
Communication protocols such as SPI, I2C, UART, and Ethernet
Build systems, packaging, OTA and deployment, and CI/CD for hardware targets
You understand:
How hardware and software interact in embedded systems, and how to run that boundary with a hardware team
How systems fail under memory, power, thermal, and networking pressure
How to design software that cannot assume constant connectivity
What it takes to update, debug, and trust a fleet you cannot physically touch
Experience with software that takes advantage of hardware accelerators (FPGA, DSP, GPU)
Experience deploying machine learning models to constrained edge compute
Familiarity with Rust, Golang, or Systemverilog
Familiarity with the fundamentals of signal processing, machine learning, computer vision, or related disciplines
Experience with Electronic Warfare Systems, Radar, Software Defined Radio, or related domains
Possession of a US Secret or higher clearance
You want to stay a full-time individual contributor
Your leadership experience is entirely in cloud or application software and embedded constraints would be new to you
You have managed embedded teams as a coordinator without owning technical direction
You need a stable hardware platform and a finished roadmap to manage against
You prefer narrowly scoped ownership over end-to-end responsibility
You are uncomfortable leading in environments where the problem is still being defined
Fast learners over specific backgrounds – We care more about how quickly you can pick up new skills than where you’ve worked before.
Intellectual honesty – The right answer matters more than being right. You challenge assumptions, test ideas, and pivot when needed.
Adaptability – We’re organized, but sometimes things change quickly. You find a way to make it work and balance short-term deliverables with long-term goals.
Ownership of outcomes – You optimize your own time, focus on what matters to deliver quickly, and cut out inefficiencies.
Not building in a vacuum – You stay connected to the rest of our teams and our customers to make sure all the pieces fit together.
Above-market salary, equity, and benefits package.
Early Series A Equity
Excellent health, dental, and vision coverage
401(k) match - up to 4% of your salary
Flexible PTO
Daily office lunches in NYC
ITAR Requirements
To conform to U.S. Government technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.
DS creates systems that power the next generation of radio spectrum intelligence. We collect radio data from all over the world, train neural networks to decipher it, and run them on the smallest chips we can. We’re solving a new, technically hard problem where nothing from other fields works out of the box, and along the way, we’ve built our own stack from scratch, including entirely new embedding model architectures, custom GPU kernels, and much more.
Joining DS means owning major parts of a fast-growing AI research organization, joining a collaborative, talent-dense team with decades of experience in probabilistic ML, accelerated computing, embedded systems, and signal theory, and growing your career in the areas that interest you. You’ll fit in if you want to come to work for the problem itself and don’t want to choose between technical rigor, business value, and real-world impact.
We work with high ownership and trust.
Our users need to understand the radio spectrum around them quickly, confidently, and often under pressure. We're hiring a UI Engineer to drive the next generation of the Distributed Spectrum product experience: the interfaces through which operators explore spectrum data, direct sensors, and collaborate with AI agents that surface insights and take action.
You'll lead our user-facing UI, own its architecture from the ground up, and define how agentic capabilities show up in the product, not as a chat box bolted to the side, but as a native part of how people work.
Drive the design and delivery of new product experiences, from concept through polished, shipped UI.
Lead the frontend architecture: application structure, state management, component libraries, design system, build tooling, testing strategy, and performance budgets.
Integrate the UI deeply with our agentic services and streaming responses, tool-call visualization, human-in-the-loop approvals, real-time updates, and interfaces that stay legible when an agent is acting on the user's behalf.
Build high-performance visualizations of large, fast-moving datasets (spectrum, maps, time series).
Partner with product, design, and backend engineers to shape requirements and translate ambiguous goals into concrete interfaces.
Establish frontend engineering standards, accessibility, testing, code review, and CI practices and help the rest of the team adopt them.
4+ years of professional frontend / UI engineering experience shipping production web applications.
Strong, hands-on experience with both Angular and React, and the judgment to know what each is good for.
Command of the modern UI stack: TypeScript, component-driven architecture, state management (e.g., Redux, Zustand, NgRx, signals), modern build tooling (Vite, esbuild, etc.), and testing (Jest, Vitest, Playwright, Cypress).
Demonstrated ability to design and build a UI architecture from scratch — you've made the foundational decisions on at least one significant product, not just contributed within an existing one.
Experience integrating with real-time and streaming backends (WebSockets, SSE) and designing UI for asynchronous, long-running operations.
Interest in and experience with building interfaces for AI / agentic systems.
Strong product sense and attention to detail; you care how things feel, not just whether they work.
Experience with data visualization libraries (D3, deck.gl, WebGL / Canvas-based rendering) or mapping frameworks (Mapbox, MapLibre, Cesium).
Experience building design systems or component libraries used across multiple teams.
Familiarity with backend development (Node, Python) and cloud deployment of frontend assets.
Experience designing for operators in high-stakes or time-critical environments.
Fast learners over specific backgrounds – We care more about how quickly you can pick up new skills than where you’ve worked before.
Intellectual honesty – The right answer matters more than being right. You challenge assumptions, test ideas, and pivot when needed.
Adaptability – We’re organized, but sometimes things change quickly. You find a way to make it work and balance short-term deliverables with long-term goals.
Ownership of outcomes – You optimize your own time, focus on what matters to deliver quickly, and cut out inefficiencies.
Not building in a vacuum – You stay connected to the rest of our teams and our customers to make sure all the pieces fit together.
Above-market salary, equity, and benefits package.
Early Series A Equity
Excellent health, dental, and vision coverage
401(k) match - up to 4% of your salary
Flexible PTO
Daily office lunches in NYC
ITAR Requirements
To conform to U.S. Government technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.