Compound Eye enables machines to understand their surroundings in 3D and in real time using only passive sensors like cameras and IMUs. Our VIDAS™ technology takes video from automotive-grade cameras and outputs a dense, semantic 3D representation of the world that vehicles and robots can use to navigate their environment. VIDAS is a fully redundant alternative to LiDAR and radar. Compound Eye has customers in automotive, agriculture, healthcare, and defense and is backed by Khosla Ventures and other leading investors.
Compound Eye is looking for a researcher- engineer who thrives on experimentation. You read new papers for fun, know when to adopt and when to question the latest architectures, and can turn academic ideas into practical prototypes. You want to take on world-class problems in computer vision and robotics where you may have unlimited resources during training but challenging constraints at inference.
You’ll focus on hands-on experimentation, exploration, and deep technical contribution. You’ll run your own experiments, propose hypotheses, and share results that help guide our next generation of ML systems.
Responsibilities
Plan, design, and run experiments to evaluate and refine deep learning architectures and training methodologies.
Research, implement, and adapt new algorithms and model architectures from recent ML papers, particularly those relevant to perception, localization, and scene understanding.
Collaborate closely with talented engineers to translate research insights into robust, deployable models.
Build on our unpublished research and state of the art approaches for geometric computer vision.
Stay current with the latest research in machine learning, deep learning, and AI, ensuring new developments are thoughtfully incorporated into our technology roadmap.
Conduct exploratory experiments on novel approaches; document and share findings that inform future production work.
Participate in project planning, reviews, and retrospectives, contributing technical expertise and mentorship where appropriate.
Publish original research.
To thrive in this role you have
M.S. or Ph.D. in Machine Learning, Computer Science, or a related field or equivalent experience demonstrating deep fluency in modern ML methods.
Familiarity with version-controlled experimentation and MLOps tools.
Demonstrated ability to read, interpret, and implement research papers.
Experience independently running and evaluating experiments from dataset preparation through model training and analysis.
Excellent problem-solving skills and the ability to translate research insights into practical, high-impact solutions.
Clear written and verbal communication skills for articulating technical concepts to both research and engineering audiences.
Nice to have
Publications in major ML or AI conferences or equivalent contributions to applied ML research.
Active engagement with the ML research community, staying current with conferences, open-source releases, and emerging methods.
Compensation & Benefits
Base salary: $175,000 to $300,000, depending on experience.
Strong Incentive Stock Options (ISO)
Medical, dental, and vision insurance
Annual home office stipend
Employer-paid long-term disability, short-term disability, and life insurance
401(k) with employer match after 6 months
Flexible PTO and 8 holidays + 2 week winter break
Paid family leave
Quarterly onsites in San Francisco
We're looking for a great engineer to join our US team of 20. Our mission is to teach machines to see. Our culture is based on transparency, mutual respect, mutual accountability, and valuing great ideas no matter where they come from. We already have revenue and our Series A round was led by a tier one VC. We are a remote-first company with employees across the United States. We had remote employees long before the pandemic and our team is now distributed across three states. We will ensure you have everything you need to work from home and the option to work from an office when it is safe to do so. We also offer competitive benefits including comprehensive health care plans, 401k with matching, flexible schedules, and discretionary PTO.
Compound Eye is committed to building a diverse and inclusive work environment. We understand that no candidate is perfectly qualified for any job and experience comes in different forms. We encourage you to apply if you see yourself being successful in this position.
Compound Eye is an Equal Opportunity Employer and a VEVRAA Federal Contractor. We do not discriminate based on race, color, religion, sex, national origin, disability, or protected veteran status.
This position requires access to technology controlled under the International Traffic in Arms Regulations (ITAR). Applicants must be a U.S. person as defined under ITAR (U.S. citizen, lawful permanent resident, asylee, or refugee) or qualify for a license exception.
Compound Eye Applicant and Worker Privacy Notice
Compound Eye Applicant and Worker Privacy Notice
","descriptionPlain":"Compound Eye enables machines to understand their surroundings in 3D and in real time using only passive sensors like cameras and IMUs. Our VIDAS™ technology takes video from automotive-grade cameras and outputs a dense, semantic 3D representation of the world that vehicles and robots can use to navigate their environment. VIDAS is a fully redundant alternative to LiDAR and radar. Compound Eye has customers in automotive, agriculture, healthcare, and defense and is backed by Khosla Ventures and other leading investors.\n\nCompound Eye is looking for a researcher- engineer who thrives on experimentation. You read new papers for fun, know when to adopt and when to question the latest architectures, and can turn academic ideas into practical prototypes. You want to take on world-class problems in computer vision and robotics where you may have unlimited resources during training but challenging constraints at inference.\n\nYou’ll focus on hands-on experimentation, exploration, and deep technical contribution. You’ll run your own experiments, propose hypotheses, and share results that help guide our next generation of ML systems.\n\nResponsibilities\n\n - Plan, design, and run experiments to evaluate and refine deep learning architectures and training methodologies.\n\n - Research, implement, and adapt new algorithms and model architectures from recent ML papers, particularly those relevant to perception, localization, and scene understanding.\n\n - Collaborate closely with talented engineers to translate research insights into robust, deployable models.\n\n - Build on our unpublished research and state of the art approaches for geometric computer vision.\n\n - Stay current with the latest research in machine learning, deep learning, and AI, ensuring new developments are thoughtfully incorporated into our technology roadmap.\n\n - Conduct exploratory experiments on novel approaches; document and share findings that inform future production work.\n\n - Participate in project planning, reviews, and retrospectives, contributing technical expertise and mentorship where appropriate.\n\n - Publish original research.\n\nTo thrive in this role you have\n\n - M.S. or Ph.D. in Machine Learning, Computer Science, or a related field or equivalent experience demonstrating deep fluency in modern ML methods.\n\n - Familiarity with version-controlled experimentation and MLOps tools.\n\n - Demonstrated ability to read, interpret, and implement research papers.\n\n - Experience independently running and evaluating experiments from dataset preparation through model training and analysis.\n\n - Excellent problem-solving skills and the ability to translate research insights into practical, high-impact solutions.\n\n - Clear written and verbal communication skills for articulating technical concepts to both research and engineering audiences.\n\nNice to have\n\n - Publications in major ML or AI conferences or equivalent contributions to applied ML research.\n\n - Active engagement with the ML research community, staying current with conferences, open-source releases, and emerging methods.\n\nCompensation & Benefits\n\n - Base salary: $175,000 to $300,000, depending on experience.\n\n - Strong Incentive Stock Options (ISO)\n\n - Medical, dental, and vision insurance\n\n - Annual home office stipend\n\n - Employer-paid long-term disability, short-term disability, and life insurance\n\n - 401(k) with employer match after 6 months\n\n - Flexible PTO and 8 holidays + 2 week winter break\n\n - Paid family leave\n\n - Quarterly onsites in San Francisco\n\nWe're looking for a great engineer to join our US team of 20. Our mission is to teach machines to see. Our culture is based on transparency, mutual respect, mutual accountability, and valuing great ideas no matter where they come from. We already have revenue and our Series A round was led by a tier one VC. We are a remote-first company with employees across the United States. We had remote employees long before the pandemic and our team is now distributed across three states. We will ensure you have everything you need to work from home and the option to work from an office when it is safe to do so. We also offer competitive benefits including comprehensive health care plans, 401k with matching, flexible schedules, and discretionary PTO. \n\nCompound Eye is committed to building a diverse and inclusive work environment. We understand that no candidate is perfectly qualified for any job and experience comes in different forms. We encourage you to apply if you see yourself being successful in this position. \n\nCompound Eye is an Equal Opportunity Employer and a VEVRAA Federal Contractor. We do not discriminate based on race, color, religion, sex, national origin, disability, or protected veteran status.\n\nThis position requires access to technology controlled under the International Traffic in Arms Regulations (ITAR). Applicants must be a U.S. person as defined under ITAR (U.S. citizen, lawful permanent resident, asylee, or refugee) or qualify for a license exception.\n\nCompound Eye Applicant and Worker Privacy Notice\n\nCompound Eye Applicant and Worker Privacy Notice https://drive.google.com/file/d/1lll8Be8Qz-1ykPudjJnBcWi4zlxPr-KM/view?usp=sharing"},{"id":"d00c55ee-284f-4623-85ca-b0f71140b8b7","title":"Cybersecurity & IT Engineer","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"HQ - Redwood City","secondaryLocations":[],"publishedAt":"2026-09-22T03:10:13.611+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Redwood City"}},"jobUrl":"https://jobs.ashbyhq.com/compound-eye/d00c55ee-284f-4623-85ca-b0f71140b8b7","applyUrl":"https://jobs.ashbyhq.com/compound-eye/d00c55ee-284f-4623-85ca-b0f71140b8b7/application","descriptionHtml":"Company Overview
Compound Eye teaches machines to understand their surroundings in 3D and in real time using only passive sensors like cameras. Our VIDAS™ technology enables vehicles, drones, and other robots to determine their position and navigate their environment without LiDAR, radar, or GPS. Compound Eye has customers in both defense and commercial robotics and is backed by Khosla Ventures, RTX Ventures, and other leading investors. We operate as a CMMC 2.0 Level 2 environment supporting a team of 20 computer vision and machine learning engineers.
The Role
We're hiring a Cybersecurity & IT Engineer to report directly to the VP of Engineering. You will own the identity, endpoint, network, and security practice that supports our engineering team. You'll inherit a working stack with room to improve it.
This is a hands-on generalist role, not a ticket-queue role and not a compliance-paperwork role. You'll sit in engineering standups, find where access, identity, or network friction is slowing the team down, and have the autonomy to fix it. On a given week, you might harden conditional access policies in Entra, audit third-party OAuth grants in Google Workspace, get a remote engineer a working path to a Jetson AGX sitting on a lab VLAN, fix a DMARC alignment failure, and write the internal standard that keeps all three from breaking again.
A large part of the job is enabling engineers to build securely rather than telling them not to. Our engineers connect distributed equipment over Cloudflare tunnels and mesh VPN overlays, run agentic tooling like Claude Code against real codebases, and stand up their own lab environments. You'll define what safety looks like, make the safe path the easy path, and make it work for a mostly-remote team.
You won't own CMMC compliance and you are not expected to hold a certification yourself. But we're a CMMC 2.0 Level 2 environment, so every configuration decision you make needs to be NIST 800-171 aware. You'll be the person the contractor comes to for evidence and implementation detail. You'll partner with our DevOps Engineer, who owns AWS workloads, GPU compute, and the developer toolchain.
Key Responsibilities
Plan, design, and build improvements to our infrastructure, from first sketch to rollout, and measure whether they worked.
Secure engineer and lab access via Cloudflare Tunnel/Zero Trust Mesh, VPN jump hosts, and SSH certificate authorities.
Own identity across Entra ID, Intune, Microsoft 365 (Defender, Purview, GCC High), and Google Workspace.
Own email authentication and DNS (SPF, DKIM, DMARC, MTA-STS) and manage zones/certificates across Cloudflare.
Manage the device fleet (Windows, macOS, Linux, Android, iOS) and the physical network (firewalls, switches, VLANs, lab isolation).
Define AI tooling guardrails for Claude Code and other agentic workflows.
Build our internal security standard on top of NIST 800-171: hardening guides, onboarding/offboarding, access reviews, incident response runbooks
Run recurring access, logs, and configuration audits, and maintain evidence for our compliance contractor.
Keep documentation current and manage vendor relationships within budget.
Manage hardware logistics from our Redwood City office, including shipping, returns, and spare equipment storage.
To Thrive in This Role, You Have:
5+ years in IT, systems administration, or security engineering, including time owning broad scope at a startup or small team.
Hands-on experience in both IT and security. You've fixed networks and devices yourself and secured them too
A track record of designing and building IT or network infrastructure
Hands-on administration of both Microsoft 365 and Google Workspace.
Strong Linux administration, plus working competence with Windows and macOS.
Hands-on networking experience with firewalls, VPNs, managed switches, VLANs, routing.
Practical experience with zero-trust/overlay networking (Cloudflare Tunnel, WireGuard, Tailscale, or similar).
Ownership of DNS and email authentication for a production domain.
Familiarity with NIST 800-171 and CMMC 2.0 sufficient to avoid creating compliance debt. No certification required.
A track record of writing security practices that engineers actually adopt.
Comfortable working independently and partnering with engineering teams without close oversight.
Work Environment
Primarily hybrid from our Redwood City, CA office: typically 1–3 days per week on-site, with more days during build-outs and quarterly company on-sites.
Less than 10% domestic travel, occasional and infrequent.
Able to lift and carry equipment up to 40 lbs and do occasional on-site physical work (cabling, racking); reasonable accommodations available upon request.
Compensation & Benefits
Base salary: $150k-185k, depending on experience.
Strong Incentive Stock Options (ISO)
Medical, dental, and vision insurance
Annual home office stipend
Employer-paid long-term disability, short-term disability, and life insurance
401(k) with employer match after 6 months
Flexible PTO and 8 holidays + 2 week winter break
Paid family leave
Quarterly onsites in San Francisco
We're looking for a great engineer to join our US team of twenty-five. Our mission is to teach machines to see. Our culture is based on transparency, mutual respect, mutual accountability, and valuing great ideas no matter where they come from. We already have revenue and our Series A round was led by a tier-one VC. We are a remote-first company with employees across the United States. We had remote employees long before the pandemic and our team is now distributed across multiple states. We offer competitive benefits including comprehensive health care plans, 401k with matching, flexible schedules, and discretionary PTO.
Compound Eye is committed to building a diverse and inclusive work environment. We understand that no candidate is perfectly qualified for any job and experience comes in different forms. We encourage you to apply if you see yourself being successful in this position.
Compound Eye is an Equal Opportunity Employer and a VEVRAA Federal Contractor. We do not discriminate based on race, color, religion, sex, national origin, disability, or protected veteran status. This position requires access to technology controlled under the International Traffic in Arms Regulations (ITAR). Applicants must be a U.S. person as defined under ITAR (U.S. citizen, lawful permanent resident, asylee, or refugee) or qualify for a license exception.
Compound Eye Applicant and Worker Privacy Notice
","descriptionPlain":"Company Overview\n\nCompound Eye teaches machines to understand their surroundings in 3D and in real time using only passive sensors like cameras. Our VIDAS™ technology enables vehicles, drones, and other robots to determine their position and navigate their environment without LiDAR, radar, or GPS. Compound Eye has customers in both defense and commercial robotics and is backed by Khosla Ventures, RTX Ventures, and other leading investors. We operate as a CMMC 2.0 Level 2 environment supporting a team of 20 computer vision and machine learning engineers.\n\n\n\nThe Role\n\nWe're hiring a Cybersecurity & IT Engineer to report directly to the VP of Engineering. You will own the identity, endpoint, network, and security practice that supports our engineering team. You'll inherit a working stack with room to improve it.\n\nThis is a hands-on generalist role, not a ticket-queue role and not a compliance-paperwork role. You'll sit in engineering standups, find where access, identity, or network friction is slowing the team down, and have the autonomy to fix it. On a given week, you might harden conditional access policies in Entra, audit third-party OAuth grants in Google Workspace, get a remote engineer a working path to a Jetson AGX sitting on a lab VLAN, fix a DMARC alignment failure, and write the internal standard that keeps all three from breaking again.\n\nA large part of the job is enabling engineers to build securely rather than telling them not to. Our engineers connect distributed equipment over Cloudflare tunnels and mesh VPN overlays, run agentic tooling like Claude Code against real codebases, and stand up their own lab environments. You'll define what safety looks like, make the safe path the easy path, and make it work for a mostly-remote team.\n\nYou won't own CMMC compliance and you are not expected to hold a certification yourself. But we're a CMMC 2.0 Level 2 environment, so every configuration decision you make needs to be NIST 800-171 aware. You'll be the person the contractor comes to for evidence and implementation detail. You'll partner with our DevOps Engineer, who owns AWS workloads, GPU compute, and the developer toolchain.\n\n\n\nKey Responsibilities\n\n - Plan, design, and build improvements to our infrastructure, from first sketch to rollout, and measure whether they worked.\n\n - Secure engineer and lab access via Cloudflare Tunnel/Zero Trust Mesh, VPN jump hosts, and SSH certificate authorities.\n\n - Own identity across Entra ID, Intune, Microsoft 365 (Defender, Purview, GCC High), and Google Workspace.\n\n - Own email authentication and DNS (SPF, DKIM, DMARC, MTA-STS) and manage zones/certificates across Cloudflare.\n\n - Manage the device fleet (Windows, macOS, Linux, Android, iOS) and the physical network (firewalls, switches, VLANs, lab isolation).\n\n - Define AI tooling guardrails for Claude Code and other agentic workflows.\n\n - Build our internal security standard on top of NIST 800-171: hardening guides, onboarding/offboarding, access reviews, incident response runbooks\n\n - Run recurring access, logs, and configuration audits, and maintain evidence for our compliance contractor.\n\n - Keep documentation current and manage vendor relationships within budget.\n\n - Manage hardware logistics from our Redwood City office, including shipping, returns, and spare equipment storage.\n\nTo Thrive in This Role, You Have:\n\n - 5+ years in IT, systems administration, or security engineering, including time owning broad scope at a startup or small team.\n\n - Hands-on experience in both IT and security. You've fixed networks and devices yourself and secured them too\n\n - A track record of designing and building IT or network infrastructure\n\n - Hands-on administration of both Microsoft 365 and Google Workspace.\n\n - Strong Linux administration, plus working competence with Windows and macOS.\n\n - Hands-on networking experience with firewalls, VPNs, managed switches, VLANs, routing.\n\n - Practical experience with zero-trust/overlay networking (Cloudflare Tunnel, WireGuard, Tailscale, or similar).\n\n - Ownership of DNS and email authentication for a production domain.\n\n - Familiarity with NIST 800-171 and CMMC 2.0 sufficient to avoid creating compliance debt. No certification required.\n\n - A track record of writing security practices that engineers actually adopt.\n\n - Comfortable working independently and partnering with engineering teams without close oversight.\n\n\n\nWork Environment\n\n - Primarily hybrid from our Redwood City, CA office: typically 1–3 days per week on-site, with more days during build-outs and quarterly company on-sites.\n\n - Less than 10% domestic travel, occasional and infrequent.\n\n - Able to lift and carry equipment up to 40 lbs and do occasional on-site physical work (cabling, racking); reasonable accommodations available upon request.\n\n\n\nCompensation & Benefits\n\n - Base salary: $150k-185k, depending on experience.\n\n - Strong Incentive Stock Options (ISO)\n\n - Medical, dental, and vision insurance\n\n - Annual home office stipend\n\n - Employer-paid long-term disability, short-term disability, and life insurance\n\n - 401(k) with employer match after 6 months\n\n - Flexible PTO and 8 holidays + 2 week winter break\n\n - Paid family leave\n\n - Quarterly onsites in San Francisco\n\n\n\nWe're looking for a great engineer to join our US team of twenty-five. Our mission is to teach machines to see. Our culture is based on transparency, mutual respect, mutual accountability, and valuing great ideas no matter where they come from. We already have revenue and our Series A round was led by a tier-one VC. We are a remote-first company with employees across the United States. We had remote employees long before the pandemic and our team is now distributed across multiple states. We offer competitive benefits including comprehensive health care plans, 401k with matching, flexible schedules, and discretionary PTO.\n\nCompound Eye is committed to building a diverse and inclusive work environment. We understand that no candidate is perfectly qualified for any job and experience comes in different forms. We encourage you to apply if you see yourself being successful in this position.\n\nCompound Eye is an Equal Opportunity Employer and a VEVRAA Federal Contractor. We do not discriminate based on race, color, religion, sex, national origin, disability, or protected veteran status. This position requires access to technology controlled under the International Traffic in Arms Regulations (ITAR). Applicants must be a U.S. person as defined under ITAR (U.S. citizen, lawful permanent resident, asylee, or refugee) or qualify for a license exception.\n\nCompound Eye Applicant and Worker Privacy Notice https://drive.google.com/file/d/1lll8Be8Qz-1ykPudjJnBcWi4zlxPr-KM/view?usp=sharing\n\n"},{"id":"d69a96e6-da88-4677-836d-c1c30f8f0317","title":"Robotics Integration Engineer","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"HQ - Redwood City","secondaryLocations":[{"location":"Petaluma, CA","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Petaluma"}}}],"publishedAt":"2026-09-22T22:53:37.187+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Redwood City"}},"jobUrl":"https://jobs.ashbyhq.com/compound-eye/d69a96e6-da88-4677-836d-c1c30f8f0317","applyUrl":"https://jobs.ashbyhq.com/compound-eye/d69a96e6-da88-4677-836d-c1c30f8f0317/application","descriptionHtml":"Company Overview
Compound Eye teaches machines to understand their surroundings in 3D and in real time using only passive sensors like cameras. Our VIDAS™ technology enables vehicles, drones, and other robots to determine their position and navigate their environment without LiDAR, radar, or GPS. Compound Eye has customers in both defense and commercial robotics and is backed by Khosla Ventures, RTX Ventures, and other leading investors.
The Role
We're hiring a Robotics Integration Engineer to report directly to our VP of Engineering.
We build the perception stack that lets vehicles and aircraft understand where they are and what's around them using cameras. To prove it, that stack has to leave the lab and live on real machines: a Polaris RZR running drive-by-wire on a test range, a Group II VTOL aircraft, compact heavy machinery, a trunk-mounted compute rack, a camera bar bolted to a roof at highway speed. Someone has to make those physical systems actually exist, survive, and be rebuildable by the next person.
You'll partner with our Field Robotics Engineer to execute the mechanical and physical integration of our test platforms and products: enclosures, mounts, cable harnesses, power distribution, drive-by-wire installation, actuation, and the bring-up that turns a pile of well-chosen components into a machine that works in the dirt at 6am.
This is deliberately a builder's role. You are the person who takes an Orin carrier board, a set of GMSL2 cameras, a DC-DC converter, a DbW kit, and a target vehicle, and turns them into an integrated, serviceable, documented system with a real enclosure and a harness that doesn't chafe through in three months.
We're looking for a natural maker. You probably have a 3D printer at home and opinions about it. You can walk up to a manual mill and take a cut without supervision. You've ordered parts from SendCutSend, and you designed those parts knowing how they'd be cut. When something physical is broken or missing, your instinct is to go build it.
Our current fleet was built quickly and under deadline pressure, which means much of it is one-off, undocumented, and more fragile than it should be. The first year of this job is turning that into hardware we can reproduce, service, and hand to a field engineer with confidence.
Key Responsibilities
Own mechanical design of enclosures, brackets, sensor mounts, camera bars, and vehicle/airframe interfaces in parametric CAD, designed for how parts actually get made.
Build what you design: run our printers, machine and finish your own prototypes, and manage outside vendors for the rest.
Design, build, and document cable harnesses end to end, from pinouts and connector selection through as-builts and spares.
Integrate electrical components you didn't design: power distribution, DC-DC conversion, fusing, grounding, batteries, and load budgets.
Install, wire, and maintain drive-by-wire systems on our ground platforms, including CAN wiring, actuators, and E-stop and safety interlocks.
Integrate and bring up motors, speed controllers, servos, and gimbals, and characterize them on the bench before they fly or drive.
Take builds from parts to a documented, verified platform, and support field test campaigns and client demos with pre-trip readiness and on-site repair.
Own procurement and vendor management for fasteners, stock, sheet metal, machining, connectors, and specialty suppliers.
To Thrive in This Role, You Have
5+ years of hands-on mechanical or robotics integration, building systems that work outside a lab
Degree in mechanical, mechatronics, or robotics engineering, or equivalent shop experience
Strong parametric CAD skills (Fusion 360, SolidWorks, Onshape, or similar) with solid design-for-manufacturing judgment
Real shop skills: 3D printing, drilling and tapping, finishing, crimping, and soldering, and you know when to hand a part to a machinist
Proven harness work, from pinout and connector choice to assemblies that hold up to vibration and repeat service
Comfort integrating electrical parts you didn't design: reading schematics, sizing wire and fuses, building power budgets, and debugging with a multimeter and oscilloscope
Working knowledge of CAN bus and vehicle electrical systems
Experience wiring, configuring, and calibrating brushless motors and speed controllers
Clear, current drawings, BOMs, and as-builts that someone else can build from
Work Environment
On-site 4–5 days per week in Redwood City, CA, with regular time at our Petaluma vehicle site.
Travel is roughly 10–20%, primarily domestic field testing at ranges and test sites.
Able to lift and carry equipment up to 50 lbs and do regular on-site physical work; reasonable accommodations available upon request.
Willing to work in field conditions: outdoors, on vehicles, in dust and heat, across ranges, warehouses, and varied environments, with occasional weekend or early-morning work during test campaigns.
Compensation & Benefits
Base salary: $135k-175k, depending on experience.
Strong Incentive Stock Options (ISO)
Medical, dental, and vision insurance
Annual home office stipend
Employer-paid long-term disability, short-term disability, and life insurance
401(k) with employer match after 6 months
Flexible PTO and 8 holidays + 2 week winter break
Paid family leave
Quarterly onsites in San Francisco
We're looking for a great engineer to join our US team of twenty-five. Our mission is to teach machines to see. Our culture is based on transparency, mutual respect, mutual accountability, and valuing great ideas no matter where they come from. We already have revenue and our Series A round was led by a tier-one VC. We are a remote-first company with employees across the United States. We had remote employees long before the pandemic and our team is now distributed across multiple states. We offer competitive benefits including comprehensive health care plans, 401k with matching, flexible schedules, and discretionary PTO.
Compound Eye is committed to building a diverse and inclusive work environment. We understand that no candidate is perfectly qualified for any job and experience comes in different forms. We encourage you to apply if you see yourself being successful in this position.
Compound Eye is an Equal Opportunity Employer and a VEVRAA Federal Contractor. We do not discriminate based on race, color, religion, sex, national origin, disability, or protected veteran status. This position requires access to technology controlled under the International Traffic in Arms Regulations (ITAR). Applicants must be a U.S. person as defined under ITAR (U.S. citizen, lawful permanent resident, asylee, or refugee) or qualify for a license exception.
","descriptionPlain":"Company Overview\n\nCompound Eye teaches machines to understand their surroundings in 3D and in real time using only passive sensors like cameras. Our VIDAS™ technology enables vehicles, drones, and other robots to determine their position and navigate their environment without LiDAR, radar, or GPS. Compound Eye has customers in both defense and commercial robotics and is backed by Khosla Ventures, RTX Ventures, and other leading investors. \n\n\n\nThe Role\n\nWe're hiring a Robotics Integration Engineer to report directly to our VP of Engineering.\n\nWe build the perception stack that lets vehicles and aircraft understand where they are and what's around them using cameras. To prove it, that stack has to leave the lab and live on real machines: a Polaris RZR running drive-by-wire on a test range, a Group II VTOL aircraft, compact heavy machinery, a trunk-mounted compute rack, a camera bar bolted to a roof at highway speed. Someone has to make those physical systems actually exist, survive, and be rebuildable by the next person.\n\nYou'll partner with our Field Robotics Engineer to execute the mechanical and physical integration of our test platforms and products: enclosures, mounts, cable harnesses, power distribution, drive-by-wire installation, actuation, and the bring-up that turns a pile of well-chosen components into a machine that works in the dirt at 6am.\n\nThis is deliberately a builder's role. You are the person who takes an Orin carrier board, a set of GMSL2 cameras, a DC-DC converter, a DbW kit, and a target vehicle, and turns them into an integrated, serviceable, documented system with a real enclosure and a harness that doesn't chafe through in three months.\n\nWe're looking for a natural maker. You probably have a 3D printer at home and opinions about it. You can walk up to a manual mill and take a cut without supervision. You've ordered parts from SendCutSend, and you designed those parts knowing how they'd be cut. When something physical is broken or missing, your instinct is to go build it.\n\nOur current fleet was built quickly and under deadline pressure, which means much of it is one-off, undocumented, and more fragile than it should be. The first year of this job is turning that into hardware we can reproduce, service, and hand to a field engineer with confidence.\n\n\n\nKey Responsibilities\n\n - Own mechanical design of enclosures, brackets, sensor mounts, camera bars, and vehicle/airframe interfaces in parametric CAD, designed for how parts actually get made.\n\n - Build what you design: run our printers, machine and finish your own prototypes, and manage outside vendors for the rest.\n\n - Design, build, and document cable harnesses end to end, from pinouts and connector selection through as-builts and spares.\n\n - Integrate electrical components you didn't design: power distribution, DC-DC conversion, fusing, grounding, batteries, and load budgets.\n\n - Install, wire, and maintain drive-by-wire systems on our ground platforms, including CAN wiring, actuators, and E-stop and safety interlocks.\n\n - Integrate and bring up motors, speed controllers, servos, and gimbals, and characterize them on the bench before they fly or drive.\n\n - Take builds from parts to a documented, verified platform, and support field test campaigns and client demos with pre-trip readiness and on-site repair.\n\n - Own procurement and vendor management for fasteners, stock, sheet metal, machining, connectors, and specialty suppliers.\n\n\n\nTo Thrive in This Role, You Have\n\n - 5+ years of hands-on mechanical or robotics integration, building systems that work outside a lab\n\n - Degree in mechanical, mechatronics, or robotics engineering, or equivalent shop experience\n\n - Strong parametric CAD skills (Fusion 360, SolidWorks, Onshape, or similar) with solid design-for-manufacturing judgment\n\n - Real shop skills: 3D printing, drilling and tapping, finishing, crimping, and soldering, and you know when to hand a part to a machinist\n\n - Proven harness work, from pinout and connector choice to assemblies that hold up to vibration and repeat service\n\n - Comfort integrating electrical parts you didn't design: reading schematics, sizing wire and fuses, building power budgets, and debugging with a multimeter and oscilloscope\n\n - Working knowledge of CAN bus and vehicle electrical systems\n\n - Experience wiring, configuring, and calibrating brushless motors and speed controllers\n\n - Clear, current drawings, BOMs, and as-builts that someone else can build from\n\n\n\nWork Environment\n\n - On-site 4–5 days per week in Redwood City, CA, with regular time at our Petaluma vehicle site.\n\n - Travel is roughly 10–20%, primarily domestic field testing at ranges and test sites.\n\n - Able to lift and carry equipment up to 50 lbs and do regular on-site physical work; reasonable accommodations available upon request.\n\n - Willing to work in field conditions: outdoors, on vehicles, in dust and heat, across ranges, warehouses, and varied environments, with occasional weekend or early-morning work during test campaigns.\n\n\n\nCompensation & Benefits\n\n - Base salary: $135k-175k, depending on experience.\n\n - Strong Incentive Stock Options (ISO)\n\n - Medical, dental, and vision insurance\n\n - Annual home office stipend\n\n - Employer-paid long-term disability, short-term disability, and life insurance\n\n - 401(k) with employer match after 6 months\n\n - Flexible PTO and 8 holidays + 2 week winter break\n\n - Paid family leave\n\n - Quarterly onsites in San Francisco\n\n\n\nWe're looking for a great engineer to join our US team of twenty-five. Our mission is to teach machines to see. Our culture is based on transparency, mutual respect, mutual accountability, and valuing great ideas no matter where they come from. We already have revenue and our Series A round was led by a tier-one VC. We are a remote-first company with employees across the United States. We had remote employees long before the pandemic and our team is now distributed across multiple states. We offer competitive benefits including comprehensive health care plans, 401k with matching, flexible schedules, and discretionary PTO.\n\nCompound Eye is committed to building a diverse and inclusive work environment. We understand that no candidate is perfectly qualified for any job and experience comes in different forms. We encourage you to apply if you see yourself being successful in this position.\n\nCompound Eye is an Equal Opportunity Employer and a VEVRAA Federal Contractor. We do not discriminate based on race, color, religion, sex, national origin, disability, or protected veteran status. This position requires access to technology controlled under the International Traffic in Arms Regulations (ITAR). Applicants must be a U.S. person as defined under ITAR (U.S. citizen, lawful permanent resident, asylee, or refugee) or qualify for a license exception.\n\nCompound Eye Applicant and Worker Privacy Notice https://drive.google.com/file/d/1lll8Be8Qz-1ykPudjJnBcWi4zlxPr-KM/view?usp=sharing\n\n"}],"apiVersion":"1"}