Engineering Jobs at Nuro with Visa Sponsorship
Nuro's engineering team works 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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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 Team
We empower engineers to build the future of transportation by transforming how software is developed, tested, and operated using Generative AI and agentic systems. Our team builds the AI infrastructure that enables autonomous coding agents, intelligent assistants, and autoresearch systems across the engineering lifecycle — from code generation and CI/CD to debugging, knowledge discovery, and ML model improvement. We sit at the intersection of engineering productivity and ML advancement, building platforms and self-improving systems that accelerate both.
About the Role
As a Software Engineer in GenAI Infrastructure & Agent Systems, you will design and build platforms that significantly improve developer productivity and ML research velocity. This role spans:
- Agent infrastructure (harnesses, sandboxes, plugin frameworks, MCP integrations) enabling reliable, production-grade AI agents
- Autoresearch systems that run experiments, evaluate results, and propose improvements to core ML models
You’ll work across the stack — from cloud infrastructure and isolation to agent memory, evaluation frameworks, and developer-facing tools.
About the Work
Build AI agent infrastructure
- Design agent orchestration, sandboxing, and isolation systems
- Develop skill/plugin frameworks and integrate internal tools (e.g., CI/CD, code, observability systems)
- Scale compute infrastructure for agent workloads (GCP, Kubernetes)
Develop autoresearch systems
- Build self-improving agents that run experiments, analyze results, and iterate
- Implement memory, feedback loops, and long-horizon reasoning
- Integrate with ML training, evaluation, and data pipelines
Create AI-powered engineering tools
- Build assistants for support, triage, and workflow automation
- Develop tools for code generation, debugging, testing, and PR review
- Detect and resolve performance and reliability issues automatically
Improve quality and developer workflows
- Design evaluation and observability systems for agent performance
- Integrate agents into CI/CD for testing, failure attribution, and remediation
- Build knowledge systems for search, retrieval, and reuse
About You
- 4+ years of industry experience; BS/MS in Computer Science or equivalent practical experience
- Strong programming skills in Python, C++, or Go, with experience building scalable, reliable systems
- Solid background in cloud infrastructure (GCP/AWS), Kubernetes, CI/CD, and developer tooling
- Passion for building production-grade AI agent systems and improving engineering efficiency through automation
- Interest in autonomous, self-improving systems and ML-driven workflows
- Strong systems thinking across infrastructure, memory, and tooling, with ability to work end-to-end
Preferred:
- Experience with LLM/agent systems in production (tool use, orchestration, sandboxing)
- Familiarity with autonomous agent patterns (memory, reflection, planning)
- Experience with MCP, plugin/skill frameworks, or similar architectures
- Background in ML infrastructure (training pipelines, evaluation, experimentation)
- Experience in DevEx/platform engineering, observability, or security isolation patterns
At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $160,360 and $240,540 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 Team
We empower engineers to build the future of transportation by transforming how software is developed, tested, and operated using Generative AI and agentic systems. Our team builds the AI infrastructure that enables autonomous coding agents, intelligent assistants, and autoresearch systems across the engineering lifecycle — from code generation and CI/CD to debugging, knowledge discovery, and ML model improvement. We sit at the intersection of engineering productivity and ML advancement, building platforms and self-improving systems that accelerate both.
About the Role
As a Software Engineer in GenAI Infrastructure & Agent Systems, you will design and build platforms that significantly improve developer productivity and ML research velocity. This role spans:
- Agent infrastructure (harnesses, sandboxes, plugin frameworks, MCP integrations) enabling reliable, production-grade AI agents
- Autoresearch systems that run experiments, evaluate results, and propose improvements to core ML models
You’ll work across the stack — from cloud infrastructure and isolation to agent memory, evaluation frameworks, and developer-facing tools.
About the Work
Build AI agent infrastructure
- Design agent orchestration, sandboxing, and isolation systems
- Develop skill/plugin frameworks and integrate internal tools (e.g., CI/CD, code, observability systems)
- Scale compute infrastructure for agent workloads (GCP, Kubernetes)
Develop autoresearch systems
- Build self-improving agents that run experiments, analyze results, and iterate
- Implement memory, feedback loops, and long-horizon reasoning
- Integrate with ML training, evaluation, and data pipelines
Create AI-powered engineering tools
- Build assistants for support, triage, and workflow automation
- Develop tools for code generation, debugging, testing, and PR review
- Detect and resolve performance and reliability issues automatically
Improve quality and developer workflows
- Design evaluation and observability systems for agent performance
- Integrate agents into CI/CD for testing, failure attribution, and remediation
- Build knowledge systems for search, retrieval, and reuse
About You
- 4+ years of industry experience; BS/MS in Computer Science or equivalent practical experience
- Strong programming skills in Python, C++, or Go, with experience building scalable, reliable systems
- Solid background in cloud infrastructure (GCP/AWS), Kubernetes, CI/CD, and developer tooling
- Passion for building production-grade AI agent systems and improving engineering efficiency through automation
- Interest in autonomous, self-improving systems and ML-driven workflows
- Strong systems thinking across infrastructure, memory, and tooling, with ability to work end-to-end
Preferred:
- Experience with LLM/agent systems in production (tool use, orchestration, sandboxing)
- Familiarity with autonomous agent patterns (memory, reflection, planning)
- Experience with MCP, plugin/skill frameworks, or similar architectures
- Background in ML infrastructure (training pipelines, evaluation, experimentation)
- Experience in DevEx/platform engineering, observability, or security isolation patterns
At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $160,360 and $240,540 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
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Get Access To All JobsTips for Finding Engineering Jobs at Nuro Jobs
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.
Engineering at Nuro jobs are hiring across the US. Find yours.
Find Engineering at Nuro JobsFrequently 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 for Chilean and Singaporean nationals, TN for Canadian and Mexican engineers, F-1 OPT and CPT for recent graduates, J-1 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.
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