Engineering Jobs at Nuro with Visa Sponsorship
Engineering jobs at Nuro focus on autonomous vehicle systems, robotics, and the software infrastructure that powers both. The company has a consistent record of sponsoring work visas across engineering disciplines, making it a realistic target for international engineers at various career stages.
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Get Access To All JobsWho We Are
Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale, empowering a safer, richer, and more connected future.
About the Role
Nuro is looking for a Director of Systems Engineering to lead a high-caliber team responsible for defining, analyzing, validating, and improving the performance of the Nuro Driver across complex hardware and software systems.
Systems Engineering sits at the center of how we turn ambitious autonomy goals into clear technical requirements, measurable performance targets, and verified system behavior on public roads. This team partners deeply across behavior, sensing, perception, prediction, planning, hardware, safety, test, and product to ensure the NuroDriver™ performs reliably in the real world and can scale across vehicle platforms and commercial use cases.
In this role, you will lead teams responsible for translating critical use cases into system requirements, conducting rigorous analyses and trade studies, informing architectural decisions, and ensuring our verification strategy establishes that the system meets the bar required for safe, scalable deployment. You will be expected to operate with strong technical depth, excellent judgment, and the leadership ability to build, coach, and raise the bar for a high-performing engineering team.
About the Work
- Lead and grow a team of Systems Engineers responsible for translating NuroDriver product and deployment goals into clear system requirements, measurable performance targets, validation strategies, and architecture tradeoffs across autonomy software, sensing hardware, safety, and real-world operations.
- Decompose critical autonomy use cases into actionable requirements for sensors, sensing systems, perception systems, and broader autonomy system behavior.
- Establish clear performance standards for complex hardware and software systems operating in real-world autonomous driving environments.
- Conduct technical analyses to determine required performance levels across sensing, perception, and other autonomy-critical capabilities.
- Lead trade studies that inform hardware architecture, software architecture, sensor configuration, system design, and deployment readiness.
- Partner closely with Systems Test Engineering and other verification teams to ensure test strategies, results, and coverage are sufficient to validate critical requirements.
- Collaborate deeply with engineering leaders across autonomy, AI, hardware, safety, product, and operations to guide prioritization and refine technical deliverables.
- Build scalable systems engineering practices that improve clarity, execution speed, technical rigor, and cross-functional decision-making.
- Mentor and develop individual contributors and managers, raising the bar for technical judgment, ownership, and execution quality.
- Recruit, hire, and onboard exceptional systems engineering talent.
- Create a team environment where high standards, strong collaboration, technical excellence, and direct feedback allow people to do their best work.
- Bring innovative and pragmatic approaches to deep technical challenges across the hardware, software, and AI systems required for autonomous driving.
About You
You are a technical leader who can operate across abstraction levels, from high-level system architecture and safety-critical requirements down to detailed performance analysis and verification strategy. You are comfortable leading through complexity, making tradeoffs with imperfect information, and partnering across disciplines to drive high-quality decisions.
You have:
- 7+ years of systems engineering experience, with demonstrated delivery of complex systems against internal or external milestones.
- 5+ years of direct management experience, with a track record of building and leading high-performing engineering teams.
- Experience managing managers and scaling teams.
- Strong systems engineering fundamentals, including requirements definition, system decomposition, verification and validation methods, and performance analysis.
- Experience working on complex hardware and software systems, ideally in autonomy, robotics, automotive, aerospace, defense, or another safety-critical domain.
- Strong technical judgment and the ability to make pragmatic architectural and prioritization tradeoffs.
- Experience partnering across software, hardware, test, safety, and product teams to drive system-level outcomes.
- A bachelor’s degree in a relevant engineering or technical field such as Mechanical Engineering, Electrical Engineering, Computer Science, Robotics, Controls, Aerospace Engineering, or equivalent practical experience.
Bonus Points
- Deep technical knowledge of modern perception systems and the ML techniques that power them.
- Experience with multiple sensing modalities such as cameras, radar, lidar, ultrasonics, or other autonomy-relevant sensors.
- Experience with autonomous driving, robotics, advanced driver assistance systems, or safety-critical AI systems.
- Software development experience in C++, Python, or related technical environments.
- Experience building verification strategies for systems deployed in real-world, safety-critical environments.
- Experience influencing technical roadmaps and architectural decisions across large, cross-functional engineering organizations.
At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $258,000.00 and $387,000.00 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.
At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics. #LI-DNP
Who We Are
Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale, empowering a safer, richer, and more connected future.
About the Role
Nuro is looking for a Director of Systems Engineering to lead a high-caliber team responsible for defining, analyzing, validating, and improving the performance of the Nuro Driver across complex hardware and software systems.
Systems Engineering sits at the center of how we turn ambitious autonomy goals into clear technical requirements, measurable performance targets, and verified system behavior on public roads. This team partners deeply across behavior, sensing, perception, prediction, planning, hardware, safety, test, and product to ensure the NuroDriver™ performs reliably in the real world and can scale across vehicle platforms and commercial use cases.
In this role, you will lead teams responsible for translating critical use cases into system requirements, conducting rigorous analyses and trade studies, informing architectural decisions, and ensuring our verification strategy establishes that the system meets the bar required for safe, scalable deployment. You will be expected to operate with strong technical depth, excellent judgment, and the leadership ability to build, coach, and raise the bar for a high-performing engineering team.
About the Work
- Lead and grow a team of Systems Engineers responsible for translating NuroDriver product and deployment goals into clear system requirements, measurable performance targets, validation strategies, and architecture tradeoffs across autonomy software, sensing hardware, safety, and real-world operations.
- Decompose critical autonomy use cases into actionable requirements for sensors, sensing systems, perception systems, and broader autonomy system behavior.
- Establish clear performance standards for complex hardware and software systems operating in real-world autonomous driving environments.
- Conduct technical analyses to determine required performance levels across sensing, perception, and other autonomy-critical capabilities.
- Lead trade studies that inform hardware architecture, software architecture, sensor configuration, system design, and deployment readiness.
- Partner closely with Systems Test Engineering and other verification teams to ensure test strategies, results, and coverage are sufficient to validate critical requirements.
- Collaborate deeply with engineering leaders across autonomy, AI, hardware, safety, product, and operations to guide prioritization and refine technical deliverables.
- Build scalable systems engineering practices that improve clarity, execution speed, technical rigor, and cross-functional decision-making.
- Mentor and develop individual contributors and managers, raising the bar for technical judgment, ownership, and execution quality.
- Recruit, hire, and onboard exceptional systems engineering talent.
- Create a team environment where high standards, strong collaboration, technical excellence, and direct feedback allow people to do their best work.
- Bring innovative and pragmatic approaches to deep technical challenges across the hardware, software, and AI systems required for autonomous driving.
About You
You are a technical leader who can operate across abstraction levels, from high-level system architecture and safety-critical requirements down to detailed performance analysis and verification strategy. You are comfortable leading through complexity, making tradeoffs with imperfect information, and partnering across disciplines to drive high-quality decisions.
You have:
- 7+ years of systems engineering experience, with demonstrated delivery of complex systems against internal or external milestones.
- 5+ years of direct management experience, with a track record of building and leading high-performing engineering teams.
- Experience managing managers and scaling teams.
- Strong systems engineering fundamentals, including requirements definition, system decomposition, verification and validation methods, and performance analysis.
- Experience working on complex hardware and software systems, ideally in autonomy, robotics, automotive, aerospace, defense, or another safety-critical domain.
- Strong technical judgment and the ability to make pragmatic architectural and prioritization tradeoffs.
- Experience partnering across software, hardware, test, safety, and product teams to drive system-level outcomes.
- A bachelor’s degree in a relevant engineering or technical field such as Mechanical Engineering, Electrical Engineering, Computer Science, Robotics, Controls, Aerospace Engineering, or equivalent practical experience.
Bonus Points
- Deep technical knowledge of modern perception systems and the ML techniques that power them.
- Experience with multiple sensing modalities such as cameras, radar, lidar, ultrasonics, or other autonomy-relevant sensors.
- Experience with autonomous driving, robotics, advanced driver assistance systems, or safety-critical AI systems.
- Software development experience in C++, Python, or related technical environments.
- Experience building verification strategies for systems deployed in real-world, safety-critical environments.
- Experience influencing technical roadmaps and architectural decisions across large, cross-functional engineering organizations.
At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $258,000.00 and $387,000.00 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.
At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics. #LI-DNP
Tips for Finding Engineering Jobs at Nuro
Align your portfolio with autonomous systems work
Nuro's engineering roles span perception, motion planning, and vehicle infrastructure. Before applying, document projects that show systems-level thinking, not just isolated features. A portfolio grounded in robotics, ML pipelines, or real-time software will signal fit faster than a general software resume.
Confirm your visa type matches the role level
H-1B and TN each carry different eligibility constraints and timing rules. If you're on F-1 OPT targeting a senior engineering role, verify your OPT end date against a realistic offer-to-filing timeline so you're not caught in a gap before USCIS processes your petition.
Research Nuro's LCA filings before your interview
DOL's LCA disclosure data shows the job titles and wage levels Nuro has filed for engineering positions. Reviewing these before your interview helps you understand the role classification you'd fall under and whether the offered title aligns with what Nuro has historically petitioned.
Target engineering roles that match your specialty occupation
USCIS requires a direct relationship between your degree field and the job duties for H-1B approval. At Nuro, a software engineering role anchored in machine learning or embedded systems maps more cleanly than a generalist title. Narrow your applications to roles where that match is explicit.
Use Migrate Mate to filter open Nuro engineering roles by visa type
Nuro posts roles across multiple engineering tracks, and not every listing signals sponsorship equally. Migrate Mate filters Nuro's engineering openings by the visa types the company sponsors, so you can prioritize applications where your status is already a known fit.
Negotiate your start date around H-1B cap deadlines
If you need a cap-subject H-1B, USCIS lottery registration opens in March with an October 1 start date if selected. Build that into your offer negotiation early so your recruiter can plan the filing timeline without rushing or missing the window.
Frequently Asked Questions
Does Nuro sponsor H-1B visas for Engineers?
Yes, Nuro sponsors H-1B visas for engineering roles. The company has a documented history of filing H-1B petitions across engineering disciplines including software, robotics, and autonomy. If you're on OPT or currently hold H-1B status, Nuro's engineering roles are a realistic target, though you'll need a role that clearly qualifies as a specialty occupation under USCIS guidelines.
Which visa types does Nuro commonly use for Engineering roles?
Nuro supports a range of visa categories for engineering positions, including H-1B, H-1B1 visa for Chilean and Singaporean nationals, TN visa for Canadian and Mexican engineers, F-1 OPT and CPT for recent graduates, J-1 visa for exchange visitors, and Green Card pathways through EB-2 and EB-3. The right category depends on your nationality, degree, and career stage.
What qualifications does Nuro expect for Engineering roles?
Most engineering roles at Nuro expect a bachelor's degree or higher in computer science, electrical engineering, robotics, or a closely related field. For H-1B eligibility, that degree-to-role alignment is a USCIS requirement, not just a preference. Senior roles typically require hands-on experience in areas like perception systems, motion planning, embedded software, or large-scale distributed infrastructure.
How do I apply for Engineering jobs at Nuro?
You can browse and apply for Nuro's open engineering roles through Migrate Mate, which filters listings by visa sponsorship type so you can confirm your status is supported before applying. Nuro's engineering hiring process typically includes a recruiter screen, technical assessments, and system design interviews. Tailoring your application to Nuro's autonomous vehicle focus improves your chances of moving through early screening.
How do I time my application if I'm on F-1 OPT targeting an H-1B at Nuro?
If you're on F-1 OPT, the critical window is USCIS's H-1B registration period in March. Your employer must submit a registration before the lottery, and if selected, the petition can be filed for an October 1 start date. Apply to Nuro several months before your OPT expires to give enough runway for an offer, LCA certification through DOL, and petition filing ahead of the cap deadline.