Job Description Senior Software Engineer, Infrastructure (Founding SRE) Location: Palo Alto, CA Hybrid (4 days onsite) Compensation: $200,000-$300,000 base + equity + annual bonus Employment: Full-time Experience: 5-16 years About the Opportunity Our client, a rapidly growing, venture-backed Series A technology company is building an AI-native platform for enterprise brands. Founded by experienced technology leaders, the client recently secured $30 million in Series A funding and operates a platform processing more than 10 million conversations weekly. With a growing enterprise customer base, the client is expanding its engineering organization and seeking a highly experienced Senior Software Engineer, Infrastructure to help lead its next phase of technical growth. This is an opportunity to join as one of the company's first dedicated infrastructure engineers, with significant ownership over production reliability, distributed systems, and infrastructure architecture. What You'll Do Own and scale production infrastructure supporting high-volume data ingestion and real-time AI workloads. Build, optimize, and maintain ETL pipelines and distributed data processing systems. Design and operate cloud infrastructure using AWS, Kubernetes, and infrastructure-as-code. Improve production reliability, observability, deployment automation, and CI/CD. Participate in on-call rotations, troubleshoot production incidents, and drive incident resolution. Build backend services, internal tools, and customer-facing product features using Python, TypeScript, or Java. Collaborate across engineering and product teams to deliver scalable, reliable solutions. Help establish and mature SRE practices, operational standards, and infrastructure architecture. Requirements and Qualifications Candidates must meet the following requirements to be considered: 5-16 years of relevant engineering experience, including substantial hands-on infrastructure, SRE, or platform engineering. Proven ownership of production systems, including deployment, monitoring, troubleshooting, and reliability. Recent engineering experience at an early-stage or rapidly scaling technology startup, preferably within the last 4-5 years. Strong software engineering proficiency in Python, TypeScript, or Java. Hands-on production experience with AWS or comparable cloud infrastructure. Practical experience with Kubernetes and distributed systems. Production experience using infrastructure-as-code tools such as Pulumi or Terraform. Experience building and maintaining CI/CD pipelines and deployment automation. Demonstrated experience with production ETL, high-volume data ingestion, or distributed data processing systems. Proven contributions to both infrastructure/backend systems and customer-facing frontend/product engineering. Experience with production incident response, operational troubleshooting, and reliability improvements. Ability to independently own complex engineering initiatives in a fast-paced startup environment. Completed degree. U.S. work authorization or eligibility for an employer-supported visa transfer. New visa sponsorship is unavailable. Ability to work onsite in Palo Alto four days per week, or willingness to relocate. Highly Preferred Qualifications Establishing or significantly improving an SRE practice at an early-stage startup. Scaling infrastructure during rapid customer growth. Operating high-throughput distributed data pipelines with measurable production volume. PostgreSQL, ClickHouse, Temporal, or similar distributed data technologies. Strong hands-on experience with Pulumi. Significant production on-call and incident response ownership. Experience delivering customer-facing full-stack features alongside infrastructure work. Before You Apply This is a hands-on infrastructure engineering position requiring both deep operational expertise and demonstrated software development ownership. This opportunity is not intended for candidates whose experience is limited to cloud administration, traditional DevOps support, frontend development, or backend application development without production infrastructure ownership. Qualified applicants should be prepared to discuss: The largest production ETL or data ingestion system they have personally owned, including volume and architecture. Their direct ownership of AWS, Kubernetes, infrastructure-as-code, and CI/CD. Full-stack product features they have personally delivered. Their experience managing production incidents and improving system reliability. Their recent startup experience and individual engineering contributions. Please, apply with your current resume and relevant technical accomplishments.
10/25/2026
Full time
Job Description Senior Software Engineer, Infrastructure (Founding SRE) Location: Palo Alto, CA Hybrid (4 days onsite) Compensation: $200,000-$300,000 base + equity + annual bonus Employment: Full-time Experience: 5-16 years About the Opportunity Our client, a rapidly growing, venture-backed Series A technology company is building an AI-native platform for enterprise brands. Founded by experienced technology leaders, the client recently secured $30 million in Series A funding and operates a platform processing more than 10 million conversations weekly. With a growing enterprise customer base, the client is expanding its engineering organization and seeking a highly experienced Senior Software Engineer, Infrastructure to help lead its next phase of technical growth. This is an opportunity to join as one of the company's first dedicated infrastructure engineers, with significant ownership over production reliability, distributed systems, and infrastructure architecture. What You'll Do Own and scale production infrastructure supporting high-volume data ingestion and real-time AI workloads. Build, optimize, and maintain ETL pipelines and distributed data processing systems. Design and operate cloud infrastructure using AWS, Kubernetes, and infrastructure-as-code. Improve production reliability, observability, deployment automation, and CI/CD. Participate in on-call rotations, troubleshoot production incidents, and drive incident resolution. Build backend services, internal tools, and customer-facing product features using Python, TypeScript, or Java. Collaborate across engineering and product teams to deliver scalable, reliable solutions. Help establish and mature SRE practices, operational standards, and infrastructure architecture. Requirements and Qualifications Candidates must meet the following requirements to be considered: 5-16 years of relevant engineering experience, including substantial hands-on infrastructure, SRE, or platform engineering. Proven ownership of production systems, including deployment, monitoring, troubleshooting, and reliability. Recent engineering experience at an early-stage or rapidly scaling technology startup, preferably within the last 4-5 years. Strong software engineering proficiency in Python, TypeScript, or Java. Hands-on production experience with AWS or comparable cloud infrastructure. Practical experience with Kubernetes and distributed systems. Production experience using infrastructure-as-code tools such as Pulumi or Terraform. Experience building and maintaining CI/CD pipelines and deployment automation. Demonstrated experience with production ETL, high-volume data ingestion, or distributed data processing systems. Proven contributions to both infrastructure/backend systems and customer-facing frontend/product engineering. Experience with production incident response, operational troubleshooting, and reliability improvements. Ability to independently own complex engineering initiatives in a fast-paced startup environment. Completed degree. U.S. work authorization or eligibility for an employer-supported visa transfer. New visa sponsorship is unavailable. Ability to work onsite in Palo Alto four days per week, or willingness to relocate. Highly Preferred Qualifications Establishing or significantly improving an SRE practice at an early-stage startup. Scaling infrastructure during rapid customer growth. Operating high-throughput distributed data pipelines with measurable production volume. PostgreSQL, ClickHouse, Temporal, or similar distributed data technologies. Strong hands-on experience with Pulumi. Significant production on-call and incident response ownership. Experience delivering customer-facing full-stack features alongside infrastructure work. Before You Apply This is a hands-on infrastructure engineering position requiring both deep operational expertise and demonstrated software development ownership. This opportunity is not intended for candidates whose experience is limited to cloud administration, traditional DevOps support, frontend development, or backend application development without production infrastructure ownership. Qualified applicants should be prepared to discuss: The largest production ETL or data ingestion system they have personally owned, including volume and architecture. Their direct ownership of AWS, Kubernetes, infrastructure-as-code, and CI/CD. Full-stack product features they have personally delivered. Their experience managing production incidents and improving system reliability. Their recent startup experience and individual engineering contributions. Please, apply with your current resume and relevant technical accomplishments.
Job Description Job Description Who we are Zus Health is an AI-native healthcare data platform that brings fragmented patient information together to make it complete, current, and actionable. Through our nationwide data network, platform, and intelligent workflows, we help providers, value-based care organizations, payers, life sciences, and digital health companies drive business results, strengthen provider trust, and improve operational efficiency. Founded in 2021 by Jonathan Bush, co-founder and former CEO of athenahealth, Zus is building the foundation for a more connected, precise, and effective healthcare system. What we're looking for Zus is hiring a Staff/Principal AI/ML Engineer to define how LLMs and AI agents power our products and the AI platform underneath them. You'll be one of the most seasoned AI/ML voices in the building, with real ownership of architecture, tooling and roadmap. Zus aggregates clinical data from across the healthcare ecosystem. That data is messy, multi-modal and enormously valuable. Modern foundation models finally make it possible to turn it into structured, trustworthy insight at the point of care and across populations. Your job is to make that happen, safely and at scale. This is a hands-on role. You'll write production code, ship prototypes to real users, set technical direction, and mentor the engineers who build alongside you. This work will require interactions with solution engineers, product managers, sales, and marketing. As part of our team, you will Architect our LLM platform. Design the shared infrastructure every AI feature at Zus runs on: model gateway and routing across frontier and open-weight models, prompt and version management, caching, cost and latency controls, and PHI-safe guardrails. Build agentic systems. Ship tool-using agents that reason over a patient's longitudinal record by summarizing histories, reconciling medications, surfacing care gaps and answering clinician questions with cited evidence. Use patterns like MCP servers, function calling and multi-step planning. Own retrieval over clinical data. Build RAG and hybrid search over FHIR resources and unstructured notes: chunking and embedding strategies for clinical text, vector and graph retrieval, reranking, and grounding so every answer traces back to its source document. Make evaluation a first-class system. Stand up offline and online evals: golden datasets with clinical reviewers, LLM-as-judge pipelines, regression suites in CI, and production monitoring for hallucination, drift and safety. Adapt models when prompting isn't enough. Fine-tune and distill (LoRA/PEFT, SFT, preference optimization) for clinical extraction, coding and normalization tasks where smaller, cheaper, specialized models win. Run AI/ML in production. Build CI/CD for models and prompts, inference serving, observability and human-in-the-loop feedback loops that turn user corrections into better models. Prototype with users. Work directly with providers, product managers and engineers to find high-leverage problems, ship prototypes fast, and iterate on real usage. Set the bar. Lead design reviews, write the docs and standards others build on, mentor engineers, and keep Zus current as the AI landscape moves. What you bring 7+ years building and shipping AI/ML systems, including 2+ years putting LLM-powered products into production for real users. Hands-on depth in modern LLM engineering: RAG, agents and tool use, structured outputs, prompt and context engineering, and the trade-offs between frontier APIs and open-weight models. A track record of building ML infrastructure others depend on - serving, pipelines, model and prompt versioning, CI/CD, monitoring. A rigorous approach to evaluation: you've designed eval sets and metrics, and you don't ship on vibes. Strong Python and software engineering fundamentals; fluency in PyTorch and the Hugging Face ecosystem. Production experience on a major cloud (AWS preferred) with containers, and infrastructure as code. Sound judgment about safety, privacy and reliability when models touch sensitive data. Clear writing and communication; you can explain model behavior and risk to clinicians, product leaders and executives. BS in Computer Science, Statistics or a related field, or equivalent experience. Are in the Boston metro and excited to collaborate in person on a hybrid schedule, or are remote (EST/CST) but willing to travel for in person collaboration occasionally. Bonus points Healthcare or clinical NLP experience, especially with FHIR, C-CDA, clinical terminologies or HIPAA-regulated data. Fine-tuning, distillation or preference optimization of LLMs at meaningful scale. Built MCP servers or multi-agent systems used in production. Inference optimization: quantization, speculative decoding, batching, GPU cost management. Designed and executed pre-training of transformer models. Open-source contributions, publications or talks in ML, NLP or LLM systems. Experience as the first or founding ML engineer at a growth-stage company. MS or PhD in a quantitative field. We will offer you Competitive compensation that reflects the value you bring to the team a combination of cash and equity Robust benefits that include health insurance, wellness benefits, 401k with a match, unlimited PTO Opportunity to work alongside a passionate team that is determined to help change the world (and have fun doing it) Please Note: Research shows that candidates from underrepresented backgrounds often don't apply unless they meet 100% of the job criteria. While we have worked to consolidate the minimum qualifications for each role, we aren't looking for someone who checks each box on a page; we're looking for active learners and people who care about disrupting the current healthcare system with their unique experiences. We do not conduct interviews by text nor will we send you a job offer unless you've interviewed with multiple people, including the Director of People & Talent, over video interviews. Job scams do exist so please be careful with your personal information. Compensation Range: $190K - $250K
10/23/2026
Full time
Job Description Job Description Who we are Zus Health is an AI-native healthcare data platform that brings fragmented patient information together to make it complete, current, and actionable. Through our nationwide data network, platform, and intelligent workflows, we help providers, value-based care organizations, payers, life sciences, and digital health companies drive business results, strengthen provider trust, and improve operational efficiency. Founded in 2021 by Jonathan Bush, co-founder and former CEO of athenahealth, Zus is building the foundation for a more connected, precise, and effective healthcare system. What we're looking for Zus is hiring a Staff/Principal AI/ML Engineer to define how LLMs and AI agents power our products and the AI platform underneath them. You'll be one of the most seasoned AI/ML voices in the building, with real ownership of architecture, tooling and roadmap. Zus aggregates clinical data from across the healthcare ecosystem. That data is messy, multi-modal and enormously valuable. Modern foundation models finally make it possible to turn it into structured, trustworthy insight at the point of care and across populations. Your job is to make that happen, safely and at scale. This is a hands-on role. You'll write production code, ship prototypes to real users, set technical direction, and mentor the engineers who build alongside you. This work will require interactions with solution engineers, product managers, sales, and marketing. As part of our team, you will Architect our LLM platform. Design the shared infrastructure every AI feature at Zus runs on: model gateway and routing across frontier and open-weight models, prompt and version management, caching, cost and latency controls, and PHI-safe guardrails. Build agentic systems. Ship tool-using agents that reason over a patient's longitudinal record by summarizing histories, reconciling medications, surfacing care gaps and answering clinician questions with cited evidence. Use patterns like MCP servers, function calling and multi-step planning. Own retrieval over clinical data. Build RAG and hybrid search over FHIR resources and unstructured notes: chunking and embedding strategies for clinical text, vector and graph retrieval, reranking, and grounding so every answer traces back to its source document. Make evaluation a first-class system. Stand up offline and online evals: golden datasets with clinical reviewers, LLM-as-judge pipelines, regression suites in CI, and production monitoring for hallucination, drift and safety. Adapt models when prompting isn't enough. Fine-tune and distill (LoRA/PEFT, SFT, preference optimization) for clinical extraction, coding and normalization tasks where smaller, cheaper, specialized models win. Run AI/ML in production. Build CI/CD for models and prompts, inference serving, observability and human-in-the-loop feedback loops that turn user corrections into better models. Prototype with users. Work directly with providers, product managers and engineers to find high-leverage problems, ship prototypes fast, and iterate on real usage. Set the bar. Lead design reviews, write the docs and standards others build on, mentor engineers, and keep Zus current as the AI landscape moves. What you bring 7+ years building and shipping AI/ML systems, including 2+ years putting LLM-powered products into production for real users. Hands-on depth in modern LLM engineering: RAG, agents and tool use, structured outputs, prompt and context engineering, and the trade-offs between frontier APIs and open-weight models. A track record of building ML infrastructure others depend on - serving, pipelines, model and prompt versioning, CI/CD, monitoring. A rigorous approach to evaluation: you've designed eval sets and metrics, and you don't ship on vibes. Strong Python and software engineering fundamentals; fluency in PyTorch and the Hugging Face ecosystem. Production experience on a major cloud (AWS preferred) with containers, and infrastructure as code. Sound judgment about safety, privacy and reliability when models touch sensitive data. Clear writing and communication; you can explain model behavior and risk to clinicians, product leaders and executives. BS in Computer Science, Statistics or a related field, or equivalent experience. Are in the Boston metro and excited to collaborate in person on a hybrid schedule, or are remote (EST/CST) but willing to travel for in person collaboration occasionally. Bonus points Healthcare or clinical NLP experience, especially with FHIR, C-CDA, clinical terminologies or HIPAA-regulated data. Fine-tuning, distillation or preference optimization of LLMs at meaningful scale. Built MCP servers or multi-agent systems used in production. Inference optimization: quantization, speculative decoding, batching, GPU cost management. Designed and executed pre-training of transformer models. Open-source contributions, publications or talks in ML, NLP or LLM systems. Experience as the first or founding ML engineer at a growth-stage company. MS or PhD in a quantitative field. We will offer you Competitive compensation that reflects the value you bring to the team a combination of cash and equity Robust benefits that include health insurance, wellness benefits, 401k with a match, unlimited PTO Opportunity to work alongside a passionate team that is determined to help change the world (and have fun doing it) Please Note: Research shows that candidates from underrepresented backgrounds often don't apply unless they meet 100% of the job criteria. While we have worked to consolidate the minimum qualifications for each role, we aren't looking for someone who checks each box on a page; we're looking for active learners and people who care about disrupting the current healthcare system with their unique experiences. We do not conduct interviews by text nor will we send you a job offer unless you've interviewed with multiple people, including the Director of People & Talent, over video interviews. Job scams do exist so please be careful with your personal information. Compensation Range: $190K - $250K
Job Description Job Description At Relativity Space, we're building rockets to serve today's needs and tomorrow's breakthroughs. Our Terran R vehicle will deliver customer payloads to orbit, meeting the growing demand for launch capacity. But that's just the start. Achieving commercial success with Terran R will unlock new opportunities to advance science, exploration, and innovation, pioneering progress that reaches beyond the known. Joining Relativity means becoming part of something where autonomy, ownership, and impact exist at every level. Here, you're not just executing tasks; you're solving problems that haven't been solved before, helping develop a rocket, a factory, and a business from the ground up. Whether you're in propulsion, manufacturing, software, avionics, or a corporate function, you'll collaborate across teams, shape decisions, and see your work come to life in record time. Relativity is a place where creativity and technical rigor go hand in hand, and your voice will help define the stories we're writing together. Now is a unique moment in time where it's early enough to leave your mark on the product, the process, and the culture, but far enough along that Terran R is tangible and picking up momentum. The most meaningful work of your career is waiting. Join us. About the Team: Dark Matter Lab is a high-autonomy innovation lab built for rapid experimentation, deep-tech prototyping, and bold moonshot thinking. We're a small team of hands-on builders exploring the edges of what's possible, turning raw ideas into world-changing technologies that could reshape the future of aerospace and beyond. Here, there are no roadmaps handed down - only frontiers to navigate. We operate with speed, embrace ambiguity, and value learning through building. Whether we're developing new hardware, prototyping full-stack systems, or pursuing ideas with breakthrough potential, our work lives at the edge of what's next. You'll be part of a small, multidisciplinary team empowered to define your own projects, move fast, and bring ideas to life. Ideas that one day may advance space systems, autonomous factories, or entirely new industries. Dark Matter Lab lives within Relativity Space, a company building the next-generation commercial rocket. By incubating bold ideas and exploring novel applications of Relativity's core capabilities, Dark Matter Lab aims to create high-impact programs with long-term value for Relativity, the aerospace industry, and society at large. If you're driven by curiosity, motivated by impact, and excited to work where the rules haven't been written yet, Dark Matter Lab is where you belong. About the Role: As part of the 10-person founding team of Dark Matter Labs, you'll be empowered to identify, explore, analyze, prototype, and realize world-changing ideas in space. This role will allow you to bring your own passions for space as well as explore, find, and prove out new moonshots on the cutting edge of science and engineering. Moonshot Engineers will be wearing many different hats, from technical leadership, detailed design & analysis, prototype build & testing, vendor management & POs, and other responsibilities necessary to make moonshots a reality. This role will be expected to take ownership of a handful of moonshots and drive them all the way from an ambiguous "What if " idea, organizing contributions from other lab members, proving the idea via prototype testing, and finally realizing the idea through design and production of a scaling product. Likewise, this role will also be contributing directly to a number of other moonshots through technology exploration, detailed analysis, part design, prototype build or testing, and other engineering efforts. About You: Bachelor's degree in Engineering, Physics, Mathematics, or a related field. 7+ years of experience in design and delivery of complex systems or products Passionate self-starter with a track record of charting a path through ambiguity, leading technical projects, organizing efforts & people, and managing timelines and expectations Deep technical expertise in one core discipline (i.e. Mechanical, Electrical, Software, etc.) but familiar & comfortable with a multitude of other disciplines Great communication and interpersonal skills, with the ability to collaborate effectively with many different other mindsets and perspectives and willingness to challenge and be challenged Hands-on design, build, and test experience with hardware and/or software required for prototyping - familiar with or willing to learn CAD, EE/PCB, harnessing, embedded SW, python, test hardware, etc Nice to have but not required: Proven track record of delivering tangible hardware or product in highly open ended or ambiguous environments or product spaces Prior experience at hardware & software early phase technology exploration or innovation labs (i.e. GoogleX, Skunkworks, etc ) At Relativity Space, we are committed to transparency and fairness in our compensation practices. Actual compensation will be determined based on experience, qualifications, and other job-related factors. Compensation is only one part of our total rewards package. Relativity Space offers competitive salary and equity, a generous PTO and sick leave policy, parental leave, an annual learning and development stipend, and more! To see some of the benefits & perks we offer, please visit here. Hiring Range: $144,000-$307,000 USD We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need a reasonable accommodation, please contact us at . Please note: Relativity Space does not accept unsolicited resumes, candidate profiles, or referrals from recruitment agencies or search firms. Any unsolicited submission - via email, our website, social media, or directly to an employee - will be deemed the property of Relativity Space, and no fee will be owed absent a current, fully executed agreement with Talent Acquisition that specifically authorizes submissions for the applicable role.
10/20/2026
Full time
Job Description Job Description At Relativity Space, we're building rockets to serve today's needs and tomorrow's breakthroughs. Our Terran R vehicle will deliver customer payloads to orbit, meeting the growing demand for launch capacity. But that's just the start. Achieving commercial success with Terran R will unlock new opportunities to advance science, exploration, and innovation, pioneering progress that reaches beyond the known. Joining Relativity means becoming part of something where autonomy, ownership, and impact exist at every level. Here, you're not just executing tasks; you're solving problems that haven't been solved before, helping develop a rocket, a factory, and a business from the ground up. Whether you're in propulsion, manufacturing, software, avionics, or a corporate function, you'll collaborate across teams, shape decisions, and see your work come to life in record time. Relativity is a place where creativity and technical rigor go hand in hand, and your voice will help define the stories we're writing together. Now is a unique moment in time where it's early enough to leave your mark on the product, the process, and the culture, but far enough along that Terran R is tangible and picking up momentum. The most meaningful work of your career is waiting. Join us. About the Team: Dark Matter Lab is a high-autonomy innovation lab built for rapid experimentation, deep-tech prototyping, and bold moonshot thinking. We're a small team of hands-on builders exploring the edges of what's possible, turning raw ideas into world-changing technologies that could reshape the future of aerospace and beyond. Here, there are no roadmaps handed down - only frontiers to navigate. We operate with speed, embrace ambiguity, and value learning through building. Whether we're developing new hardware, prototyping full-stack systems, or pursuing ideas with breakthrough potential, our work lives at the edge of what's next. You'll be part of a small, multidisciplinary team empowered to define your own projects, move fast, and bring ideas to life. Ideas that one day may advance space systems, autonomous factories, or entirely new industries. Dark Matter Lab lives within Relativity Space, a company building the next-generation commercial rocket. By incubating bold ideas and exploring novel applications of Relativity's core capabilities, Dark Matter Lab aims to create high-impact programs with long-term value for Relativity, the aerospace industry, and society at large. If you're driven by curiosity, motivated by impact, and excited to work where the rules haven't been written yet, Dark Matter Lab is where you belong. About the Role: As part of the 10-person founding team of Dark Matter Labs, you'll be empowered to identify, explore, analyze, prototype, and realize world-changing ideas in space. This role will allow you to bring your own passions for space as well as explore, find, and prove out new moonshots on the cutting edge of science and engineering. Moonshot Engineers will be wearing many different hats, from technical leadership, detailed design & analysis, prototype build & testing, vendor management & POs, and other responsibilities necessary to make moonshots a reality. This role will be expected to take ownership of a handful of moonshots and drive them all the way from an ambiguous "What if " idea, organizing contributions from other lab members, proving the idea via prototype testing, and finally realizing the idea through design and production of a scaling product. Likewise, this role will also be contributing directly to a number of other moonshots through technology exploration, detailed analysis, part design, prototype build or testing, and other engineering efforts. About You: Bachelor's degree in Engineering, Physics, Mathematics, or a related field. 7+ years of experience in design and delivery of complex systems or products Passionate self-starter with a track record of charting a path through ambiguity, leading technical projects, organizing efforts & people, and managing timelines and expectations Deep technical expertise in one core discipline (i.e. Mechanical, Electrical, Software, etc.) but familiar & comfortable with a multitude of other disciplines Great communication and interpersonal skills, with the ability to collaborate effectively with many different other mindsets and perspectives and willingness to challenge and be challenged Hands-on design, build, and test experience with hardware and/or software required for prototyping - familiar with or willing to learn CAD, EE/PCB, harnessing, embedded SW, python, test hardware, etc Nice to have but not required: Proven track record of delivering tangible hardware or product in highly open ended or ambiguous environments or product spaces Prior experience at hardware & software early phase technology exploration or innovation labs (i.e. GoogleX, Skunkworks, etc ) At Relativity Space, we are committed to transparency and fairness in our compensation practices. Actual compensation will be determined based on experience, qualifications, and other job-related factors. Compensation is only one part of our total rewards package. Relativity Space offers competitive salary and equity, a generous PTO and sick leave policy, parental leave, an annual learning and development stipend, and more! To see some of the benefits & perks we offer, please visit here. Hiring Range: $144,000-$307,000 USD We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need a reasonable accommodation, please contact us at . Please note: Relativity Space does not accept unsolicited resumes, candidate profiles, or referrals from recruitment agencies or search firms. Any unsolicited submission - via email, our website, social media, or directly to an employee - will be deemed the property of Relativity Space, and no fee will be owed absent a current, fully executed agreement with Talent Acquisition that specifically authorizes submissions for the applicable role.
Job Description Job Description About Astera Astera is a private foundation on a mission to steer science and technology toward a better future. We believe the coming years will bring an era of unprecedented scientific and technological advancement as exponential progress in AI converges with central advances in other fields to accelerate innovation. This inflection point provides an unparalleled opportunity to fundamentally rethink the institutions, systems, and tools that drive progress. We have committed a $3.5B endowment to that work and fit the form of our support to the function it serves: grants, investments, and in-house research programs. We accept meaningful risk in the research we back and expect some of it to fail because transformative ideas are rarely the ones already proven. Our projects, and the foundation itself, operate like high-velocity startups, with a high performance bar and competitive compensation to match. We are searching for leaders who are compelled by the challenge of driving high-impact change in the way science is funded, conducted, and communicated. You can read more about our mission, vision, and programming at astera.org/vision. About Astera Neuro Astera Neuro seeks to understand and engineer consciousness. We believe consciousness is the process by which the brain builds a coherent internal model of the world and the self. We aim to understand this model and to develop the technologies to write experience directly into the brain. By combining large-scale neural recording, causal perturbation, and brain-based AI, we seek to move neuroscience from observing correlates of experience to engineering it. The same tools carry direct therapeutic promise for neurological and psychiatric diseases that alter perception, thought, and sense of self. Because the science and tools required do not yet exist, we are assembling a founding team of neuroscientists, theorists, and engineers to create them. We do high-risk, high-reward science in a well-resourced, collaborative environment with competitive pay, and share everything openly under Astera's Open Science Policy. Position Summary Working closely with our experimental, surgical, and software teams, probe engineers here design and build the recording hardware - the probes, insertion mechanisms, and robotics that determine how much of the brain we can see, and how well. The role spans three tightly coupled problems: the probe (thin, flexible, high-density electrode arrays), the needle (the micro-machined tool that carries a probe past the meninges without damaging it or the tissue), and the robot (the precision system that places many probes quickly, accurately, and repeatedly while avoiding vasculature). You will move fluidly across mechanical design, microfabrication, and control, and you will own hardware from initial concept through benchtop validation and into the recording rig. We are hiring at multiple levels. As an Engineer, you will lead well-defined hardware projects with regular guidance. As a Senior Engineer, you will own hardware lines end-to-end, drive design decisions, and set fabrication and test strategy. As a Principal Engineer, you will define the probe and robotics roadmap, mentor engineers, and shape how mechanical, fabrication, and control work fit together at Astera. We will calibrate scope and title to your experience. What You'll Do Design flexible, high-density neural probes; thin-film polymer arrays (polyimide, Parylene C, or comparable) patterned with hundreds to thousands of microelectrodes, from layout through fabrication and encapsulation. Build probe-to-chip integration and the readout signal chain, bonding high-density electrode arrays to amplifier and acquisition electronics, and developing the low-noise front-end that amplifies, digitizes, and streams microvolt neural signals to the acquisition system. Design insertion needles and needle-pincher mechanisms; micro-machined and electrochemically etched tools that grasp, insert, and release flexible probes at micron-scale placement accuracy. Develop insertion strategies that solve the hard mechanics of putting a flexible thread into soft tissue; managing bending stiffness and buckling, temporarily stiffening the probe for insertion, and mitigating the forces that build up across many closely spaced insertions. Build a precision insertion robot; multi-axis motion, servo and linear-motor drives, and the real-time control that makes placement fast, accurate, and repeatable. Develop machine-vision guidance for the robot; imaging and computer vision that locate targets, guide the needle to them, and avoid surface vasculature during insertion. Build electrode characterization and process pipelines, impedance and electrochemistry (e.g., Pt, PEDOT coatings), yield, and reliability testing that turn a working prototype into a manufacturable part. Who You Are Required: Strong hands-on engineering across mechanical design and prototyping; you move fluently between CAD, the machine shop, and the benchtop. Experience building precision electromechanical or robotic systems (multi-axis motion, servo/linear-motor control, tight tolerance stacks). Familiarity with microfabrication and thin-film processes (photolithography, deposition, etching, cleanroom work), or a demonstrated ability to pick them up fast. Comfort with real-time control and the software that drives hardware (Python plus C/C++ or comparable; embedded, FPGA, or RTOS a plus). Working knowledge of the signal-acquisition chain - how low-level analog signals are amplified, digitized, and acquired - and comfort collaborating with electronics engineers on it. Genuine interest in building instruments for neuroscience, and in the tissue-mechanics constraints that make this problem hard. Preferred/Nice to Have: Flexible/thin-film electrode microfabrication (polyimide, Parylene C, PDMS) and electrode electrochemistry. Micro-machining and electrochemical etching of fine metal tooling (e.g., tungsten, tungsten-rhenium). Low-noise analog/mixed-signal front-end design for recording microvolt-scale signals (amplification, filtering, multiplexing, digitization). High-density interconnect and packaging; bonding fine-pitch electrode arrays to electronics (e.g., flip-chip, wire bonding, ACF, or comparable). Precision motion control, machine vision, or real-time closed-loop robotics. Surgical or medical-device hardware, including sterilization, sterile workflow, and design under regulatory constraints. Neural interfaces, MEMS sensors, or other implantable devices. Contributions to open-source hardware, instrumentation, or scientific-computing projects. Additionally Expected at Senior / Principal Level A track record of taking hardware from concept to working, validated device; owning design tradeoffs, fabrication, and test. Experience making and defending tradeoffs across precision, reliability, manufacturability, and biocompatibility. Comfort working across the stack, from mechanical design and fabrication to control software and system integration. A history of mentoring engineers or leading technical initiatives (Principal level). Education PhD with 3 to 12+ years of experience. Backgrounds in mechanical, electrical, biomedical, or materials engineering, mechatronics, robotics, applied physics, MEMS/microfabrication, or related fields are all welcome. Graduate work or research experience is a plus but not required. We value demonstrated skill and relevant experience above credentials. Compensation The posted salary range is based on location in the Bay Area. The successful candidate will receive a competitive compensation package, commensurate with their experience and location. Why Join Us Astera Neuro is hiring a probe engineer to design the flexible neural probes, insertion needles, and precision robotics that make large-scale recording possible: devices that place thousands of electrodes with micron precision while sparing the tissue around them. If you want to build the physical instrument at the heart of a new neuroscience, let's talk. Astera Neuro provides a comprehensive benefits package and total compensation that is competitive and commensurate with the level of experience and qualifications. We are an equal opportunity employer and value diversity and inclusion! Compensation Range: $200K - $350K
10/20/2026
Full time
Job Description Job Description About Astera Astera is a private foundation on a mission to steer science and technology toward a better future. We believe the coming years will bring an era of unprecedented scientific and technological advancement as exponential progress in AI converges with central advances in other fields to accelerate innovation. This inflection point provides an unparalleled opportunity to fundamentally rethink the institutions, systems, and tools that drive progress. We have committed a $3.5B endowment to that work and fit the form of our support to the function it serves: grants, investments, and in-house research programs. We accept meaningful risk in the research we back and expect some of it to fail because transformative ideas are rarely the ones already proven. Our projects, and the foundation itself, operate like high-velocity startups, with a high performance bar and competitive compensation to match. We are searching for leaders who are compelled by the challenge of driving high-impact change in the way science is funded, conducted, and communicated. You can read more about our mission, vision, and programming at astera.org/vision. About Astera Neuro Astera Neuro seeks to understand and engineer consciousness. We believe consciousness is the process by which the brain builds a coherent internal model of the world and the self. We aim to understand this model and to develop the technologies to write experience directly into the brain. By combining large-scale neural recording, causal perturbation, and brain-based AI, we seek to move neuroscience from observing correlates of experience to engineering it. The same tools carry direct therapeutic promise for neurological and psychiatric diseases that alter perception, thought, and sense of self. Because the science and tools required do not yet exist, we are assembling a founding team of neuroscientists, theorists, and engineers to create them. We do high-risk, high-reward science in a well-resourced, collaborative environment with competitive pay, and share everything openly under Astera's Open Science Policy. Position Summary Working closely with our experimental, surgical, and software teams, probe engineers here design and build the recording hardware - the probes, insertion mechanisms, and robotics that determine how much of the brain we can see, and how well. The role spans three tightly coupled problems: the probe (thin, flexible, high-density electrode arrays), the needle (the micro-machined tool that carries a probe past the meninges without damaging it or the tissue), and the robot (the precision system that places many probes quickly, accurately, and repeatedly while avoiding vasculature). You will move fluidly across mechanical design, microfabrication, and control, and you will own hardware from initial concept through benchtop validation and into the recording rig. We are hiring at multiple levels. As an Engineer, you will lead well-defined hardware projects with regular guidance. As a Senior Engineer, you will own hardware lines end-to-end, drive design decisions, and set fabrication and test strategy. As a Principal Engineer, you will define the probe and robotics roadmap, mentor engineers, and shape how mechanical, fabrication, and control work fit together at Astera. We will calibrate scope and title to your experience. What You'll Do Design flexible, high-density neural probes; thin-film polymer arrays (polyimide, Parylene C, or comparable) patterned with hundreds to thousands of microelectrodes, from layout through fabrication and encapsulation. Build probe-to-chip integration and the readout signal chain, bonding high-density electrode arrays to amplifier and acquisition electronics, and developing the low-noise front-end that amplifies, digitizes, and streams microvolt neural signals to the acquisition system. Design insertion needles and needle-pincher mechanisms; micro-machined and electrochemically etched tools that grasp, insert, and release flexible probes at micron-scale placement accuracy. Develop insertion strategies that solve the hard mechanics of putting a flexible thread into soft tissue; managing bending stiffness and buckling, temporarily stiffening the probe for insertion, and mitigating the forces that build up across many closely spaced insertions. Build a precision insertion robot; multi-axis motion, servo and linear-motor drives, and the real-time control that makes placement fast, accurate, and repeatable. Develop machine-vision guidance for the robot; imaging and computer vision that locate targets, guide the needle to them, and avoid surface vasculature during insertion. Build electrode characterization and process pipelines, impedance and electrochemistry (e.g., Pt, PEDOT coatings), yield, and reliability testing that turn a working prototype into a manufacturable part. Who You Are Required: Strong hands-on engineering across mechanical design and prototyping; you move fluently between CAD, the machine shop, and the benchtop. Experience building precision electromechanical or robotic systems (multi-axis motion, servo/linear-motor control, tight tolerance stacks). Familiarity with microfabrication and thin-film processes (photolithography, deposition, etching, cleanroom work), or a demonstrated ability to pick them up fast. Comfort with real-time control and the software that drives hardware (Python plus C/C++ or comparable; embedded, FPGA, or RTOS a plus). Working knowledge of the signal-acquisition chain - how low-level analog signals are amplified, digitized, and acquired - and comfort collaborating with electronics engineers on it. Genuine interest in building instruments for neuroscience, and in the tissue-mechanics constraints that make this problem hard. Preferred/Nice to Have: Flexible/thin-film electrode microfabrication (polyimide, Parylene C, PDMS) and electrode electrochemistry. Micro-machining and electrochemical etching of fine metal tooling (e.g., tungsten, tungsten-rhenium). Low-noise analog/mixed-signal front-end design for recording microvolt-scale signals (amplification, filtering, multiplexing, digitization). High-density interconnect and packaging; bonding fine-pitch electrode arrays to electronics (e.g., flip-chip, wire bonding, ACF, or comparable). Precision motion control, machine vision, or real-time closed-loop robotics. Surgical or medical-device hardware, including sterilization, sterile workflow, and design under regulatory constraints. Neural interfaces, MEMS sensors, or other implantable devices. Contributions to open-source hardware, instrumentation, or scientific-computing projects. Additionally Expected at Senior / Principal Level A track record of taking hardware from concept to working, validated device; owning design tradeoffs, fabrication, and test. Experience making and defending tradeoffs across precision, reliability, manufacturability, and biocompatibility. Comfort working across the stack, from mechanical design and fabrication to control software and system integration. A history of mentoring engineers or leading technical initiatives (Principal level). Education PhD with 3 to 12+ years of experience. Backgrounds in mechanical, electrical, biomedical, or materials engineering, mechatronics, robotics, applied physics, MEMS/microfabrication, or related fields are all welcome. Graduate work or research experience is a plus but not required. We value demonstrated skill and relevant experience above credentials. Compensation The posted salary range is based on location in the Bay Area. The successful candidate will receive a competitive compensation package, commensurate with their experience and location. Why Join Us Astera Neuro is hiring a probe engineer to design the flexible neural probes, insertion needles, and precision robotics that make large-scale recording possible: devices that place thousands of electrodes with micron precision while sparing the tissue around them. If you want to build the physical instrument at the heart of a new neuroscience, let's talk. Astera Neuro provides a comprehensive benefits package and total compensation that is competitive and commensurate with the level of experience and qualifications. We are an equal opportunity employer and value diversity and inclusion! Compensation Range: $200K - $350K
Job Description Job Description About Ayo We are a venture-backed early-stage startup developing processors specialized for machine learning. The processor will provide orders or magnitude improvement in speed and power efficiency with a goal of unseating the GPU as the dominant computing platform for AI. The Role We are seeking a deep AI practitioner to join as a founding team member - someone with hands-on experience working on or alongside a foundation model at scale, who understands what happens under the hood when splitting jobs across thousands of GPUs, and who is excited to bring that depth to novel hardware. They have a full-stack understanding of machine learning architectures, love to optimize algorithms across disciplinary boundaries, and will deploy and train models directly on our prototype chips to help us prove out what our processor can do - no prior hardware experience required. What You'll Do: Deploy and run trained models on prototype hardware and digital twins, producing working demonstrations on our chips. Develop and adapt algorithms to train models on novel processing environments, including our prototype hardware. Work with hardware engineers to define and refine processor architecture based on insights learned through model training and experimentation. Maintain a deep curiosity about what makes AI systems work - and bring that curiosity to bear on how they run on new hardware. Support go-to-market strategy development What We're Looking For: PhD in machine learning, representation learning, theory of computation, or a related field - or equivalent industry experience working on foundation models at scale. Experience training models at scale - distributed training across many GPUs, working with large datasets and compute. Has built and trained neural networks from scratch Deep knowledge of the structure and internal operation of neural networks - including how and why they behave the way they do (e.g. interpretability or explainability work is a plus). Excitement about applying deep AI expertise to new and novel hardware environments - you don't need prior experience with photonics or silicon, but you want to learn. Fluent knowledge of Python Fluency in PyTorch (preferred), TensorFlow, JAX, or other industry-standard ML software libraries Why Ayo You'll be a founding AI team member - shaping how we think about and deploy AI as a company. We are working on a genuinely hard and interesting problem: unseating the GPU as the dominant AI compute platform. Early-stage means real ownership, real impact, and meaningful equity. Competitive salary. Equity commensurate with stage and seniority. Benefits package including health, dental, and vision. Fully onsite in Boston - we are a collaborative, in-person team.
09/26/2026
Full time
Job Description Job Description About Ayo We are a venture-backed early-stage startup developing processors specialized for machine learning. The processor will provide orders or magnitude improvement in speed and power efficiency with a goal of unseating the GPU as the dominant computing platform for AI. The Role We are seeking a deep AI practitioner to join as a founding team member - someone with hands-on experience working on or alongside a foundation model at scale, who understands what happens under the hood when splitting jobs across thousands of GPUs, and who is excited to bring that depth to novel hardware. They have a full-stack understanding of machine learning architectures, love to optimize algorithms across disciplinary boundaries, and will deploy and train models directly on our prototype chips to help us prove out what our processor can do - no prior hardware experience required. What You'll Do: Deploy and run trained models on prototype hardware and digital twins, producing working demonstrations on our chips. Develop and adapt algorithms to train models on novel processing environments, including our prototype hardware. Work with hardware engineers to define and refine processor architecture based on insights learned through model training and experimentation. Maintain a deep curiosity about what makes AI systems work - and bring that curiosity to bear on how they run on new hardware. Support go-to-market strategy development What We're Looking For: PhD in machine learning, representation learning, theory of computation, or a related field - or equivalent industry experience working on foundation models at scale. Experience training models at scale - distributed training across many GPUs, working with large datasets and compute. Has built and trained neural networks from scratch Deep knowledge of the structure and internal operation of neural networks - including how and why they behave the way they do (e.g. interpretability or explainability work is a plus). Excitement about applying deep AI expertise to new and novel hardware environments - you don't need prior experience with photonics or silicon, but you want to learn. Fluent knowledge of Python Fluency in PyTorch (preferred), TensorFlow, JAX, or other industry-standard ML software libraries Why Ayo You'll be a founding AI team member - shaping how we think about and deploy AI as a company. We are working on a genuinely hard and interesting problem: unseating the GPU as the dominant AI compute platform. Early-stage means real ownership, real impact, and meaningful equity. Competitive salary. Equity commensurate with stage and seniority. Benefits package including health, dental, and vision. Fully onsite in Boston - we are a collaborative, in-person team.
Job Description Job Description At Relativity Space, we're building rockets to serve today's needs and tomorrow's breakthroughs. Our Terran R vehicle will deliver customer payloads to orbit, meeting the growing demand for launch capacity. But that's just the start. Achieving commercial success with Terran R will unlock new opportunities to advance science, exploration, and innovation, pioneering progress that reaches beyond the known. Joining Relativity means becoming part of something where autonomy, ownership, and impact exist at every level. Here, you're not just executing tasks; you're solving problems that haven't been solved before, helping develop a rocket, a factory, and a business from the ground up. Whether you're in propulsion, manufacturing, software, avionics, or a corporate function, you'll collaborate across teams, shape decisions, and see your work come to life in record time. Relativity is a place where creativity and technical rigor go hand in hand, and your voice will help define the stories we're writing together. Now is a unique moment in time where it's early enough to leave your mark on the product, the process, and the culture, but far enough along that Terran R is tangible and picking up momentum. The most meaningful work of your career is waiting. Join us. About the Team: Dark Matter Lab is a high-autonomy innovation lab built for rapid experimentation, deep-tech prototyping, and bold moonshot thinking. We're a small team of hands-on builders exploring the edges of what's possible, turning raw ideas into world-changing technologies that could reshape the future of aerospace and beyond. Here, there are no roadmaps handed down - only frontiers to navigate. We operate with speed, embrace ambiguity, and value learning through building. Whether we're developing new hardware, prototyping full-stack systems, or pursuing ideas with breakthrough potential, our work lives at the edge of what's next. You'll be part of a small, multidisciplinary team empowered to define your own projects, move fast, and bring ideas to life. Ideas that one day may advance space systems, autonomous factories, or entirely new industries. Dark Matter Lab lives within Relativity Space, a company building the next-generation commercial rocket. By incubating bold ideas and exploring novel applications of Relativity's core capabilities, Dark Matter Lab aims to create high-impact programs with long-term value for Relativity, the aerospace industry, and society at large. If you're driven by curiosity, motivated by impact, and excited to work where the rules haven't been written yet, Dark Matter Lab is where you belong. About the Role: As part of the 10-person founding team of Dark Matter Labs, you'll be empowered to identify, explore, analyze, prototype, and realize world-changing ideas in space. This role will allow you to bring your own passions for space as well as explore, find, and prove out new moonshots on the cutting edge of science and engineering. Moonshot Engineers will be wearing many different hats, from technical leadership, detailed design & analysis, prototype build & testing, vendor management & POs, and other responsibilities necessary to make moonshots a reality. This role will be expected to take ownership of a handful of moonshots and drive them all the way from an ambiguous "What if " idea, organizing contributions from other lab members, proving the idea via prototype testing, and finally realizing the idea through design and production of a scaling product. Likewise, this role will also be contributing directly to a number of other moonshots through technology exploration, detailed analysis, part design, prototype build or testing, and other engineering efforts. About You: Bachelor's degree in Engineering, Physics, Mathematics, or a related field. 7+ years of experience in design and delivery of complex systems or products Passionate self-starter with a track record of charting a path through ambiguity, leading technical projects, organizing efforts & people, and managing timelines and expectations Deep technical expertise in one core discipline (i.e. Mechanical, Electrical, Software, etc.) but familiar & comfortable with a multitude of other disciplines Great communication and interpersonal skills, with the ability to collaborate effectively with many different other mindsets and perspectives and willingness to challenge and be challenged Hands-on design, build, and test experience with hardware and/or software required for prototyping - familiar with or willing to learn CAD, EE/PCB, harnessing, embedded SW, python, test hardware, etc Nice to have but not required: Proven track record of delivering tangible hardware or product in highly open ended or ambiguous environments or product spaces Prior experience at hardware & software early phase technology exploration or innovation labs (i.e. GoogleX, Skunkworks, etc ) At Relativity Space, we are committed to transparency and fairness in our compensation practices. Actual compensation will be determined based on experience, qualifications, and other job-related factors. Compensation is only one part of our total rewards package. Relativity Space offers competitive salary and equity, a generous PTO and sick leave policy, parental leave, an annual learning and development stipend, and more! To see some of the benefits & perks we offer, please visit here. Hiring Range: $144,000-$307,000 USD We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need a reasonable accommodation, please contact us at . Please note: Relativity Space does not accept unsolicited resumes, candidate profiles, or referrals from recruitment agencies or search firms. Any unsolicited submission - via email, our website, social media, or directly to an employee - will be deemed the property of Relativity Space, and no fee will be owed absent a current, fully executed agreement with Talent Acquisition that specifically authorizes submissions for the applicable role.
09/26/2026
Full time
Job Description Job Description At Relativity Space, we're building rockets to serve today's needs and tomorrow's breakthroughs. Our Terran R vehicle will deliver customer payloads to orbit, meeting the growing demand for launch capacity. But that's just the start. Achieving commercial success with Terran R will unlock new opportunities to advance science, exploration, and innovation, pioneering progress that reaches beyond the known. Joining Relativity means becoming part of something where autonomy, ownership, and impact exist at every level. Here, you're not just executing tasks; you're solving problems that haven't been solved before, helping develop a rocket, a factory, and a business from the ground up. Whether you're in propulsion, manufacturing, software, avionics, or a corporate function, you'll collaborate across teams, shape decisions, and see your work come to life in record time. Relativity is a place where creativity and technical rigor go hand in hand, and your voice will help define the stories we're writing together. Now is a unique moment in time where it's early enough to leave your mark on the product, the process, and the culture, but far enough along that Terran R is tangible and picking up momentum. The most meaningful work of your career is waiting. Join us. About the Team: Dark Matter Lab is a high-autonomy innovation lab built for rapid experimentation, deep-tech prototyping, and bold moonshot thinking. We're a small team of hands-on builders exploring the edges of what's possible, turning raw ideas into world-changing technologies that could reshape the future of aerospace and beyond. Here, there are no roadmaps handed down - only frontiers to navigate. We operate with speed, embrace ambiguity, and value learning through building. Whether we're developing new hardware, prototyping full-stack systems, or pursuing ideas with breakthrough potential, our work lives at the edge of what's next. You'll be part of a small, multidisciplinary team empowered to define your own projects, move fast, and bring ideas to life. Ideas that one day may advance space systems, autonomous factories, or entirely new industries. Dark Matter Lab lives within Relativity Space, a company building the next-generation commercial rocket. By incubating bold ideas and exploring novel applications of Relativity's core capabilities, Dark Matter Lab aims to create high-impact programs with long-term value for Relativity, the aerospace industry, and society at large. If you're driven by curiosity, motivated by impact, and excited to work where the rules haven't been written yet, Dark Matter Lab is where you belong. About the Role: As part of the 10-person founding team of Dark Matter Labs, you'll be empowered to identify, explore, analyze, prototype, and realize world-changing ideas in space. This role will allow you to bring your own passions for space as well as explore, find, and prove out new moonshots on the cutting edge of science and engineering. Moonshot Engineers will be wearing many different hats, from technical leadership, detailed design & analysis, prototype build & testing, vendor management & POs, and other responsibilities necessary to make moonshots a reality. This role will be expected to take ownership of a handful of moonshots and drive them all the way from an ambiguous "What if " idea, organizing contributions from other lab members, proving the idea via prototype testing, and finally realizing the idea through design and production of a scaling product. Likewise, this role will also be contributing directly to a number of other moonshots through technology exploration, detailed analysis, part design, prototype build or testing, and other engineering efforts. About You: Bachelor's degree in Engineering, Physics, Mathematics, or a related field. 7+ years of experience in design and delivery of complex systems or products Passionate self-starter with a track record of charting a path through ambiguity, leading technical projects, organizing efforts & people, and managing timelines and expectations Deep technical expertise in one core discipline (i.e. Mechanical, Electrical, Software, etc.) but familiar & comfortable with a multitude of other disciplines Great communication and interpersonal skills, with the ability to collaborate effectively with many different other mindsets and perspectives and willingness to challenge and be challenged Hands-on design, build, and test experience with hardware and/or software required for prototyping - familiar with or willing to learn CAD, EE/PCB, harnessing, embedded SW, python, test hardware, etc Nice to have but not required: Proven track record of delivering tangible hardware or product in highly open ended or ambiguous environments or product spaces Prior experience at hardware & software early phase technology exploration or innovation labs (i.e. GoogleX, Skunkworks, etc ) At Relativity Space, we are committed to transparency and fairness in our compensation practices. Actual compensation will be determined based on experience, qualifications, and other job-related factors. Compensation is only one part of our total rewards package. Relativity Space offers competitive salary and equity, a generous PTO and sick leave policy, parental leave, an annual learning and development stipend, and more! To see some of the benefits & perks we offer, please visit here. Hiring Range: $144,000-$307,000 USD We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need a reasonable accommodation, please contact us at . Please note: Relativity Space does not accept unsolicited resumes, candidate profiles, or referrals from recruitment agencies or search firms. Any unsolicited submission - via email, our website, social media, or directly to an employee - will be deemed the property of Relativity Space, and no fee will be owed absent a current, fully executed agreement with Talent Acquisition that specifically authorizes submissions for the applicable role.