DevOps Jobs at Nuro with Visa Sponsorship
Nuro hires DevOps engineers to support its autonomous vehicle platform, from infrastructure automation to CI/CD pipelines at scale. The company sponsors a range of work visas for this function, making it a realistic target if you're on OPT, holding an H-1B, or pursuing employer-sponsored permanent residence.
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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 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 DevOps Jobs at Nuro Jobs
Align Your Stack With Nuro's Infrastructure
Nuro's autonomous systems rely heavily on cloud-native infrastructure, container orchestration, and large-scale CI/CD. Emphasize hands-on experience with Kubernetes, Terraform, and GCP or AWS in your resume before applying, not just familiarity.
Target Roles That Fit H-1B Specialty Occupation
DevOps positions at Nuro that require a bachelor's degree or higher in computer science, information systems, or a closely related field are most defensible as H-1B specialty occupations. Avoid applying to generalist IT support roles if you need a visa.
Understand the LCA Filing Before Your Offer
Before Nuro can file your H-1B petition, they must certify a Labor Condition Application with the DOL confirming your role's prevailing wage. Knowing this step exists helps you set realistic expectations on how long the period between verbal offer and petition filing will take.
Use Migrate Mate to Filter Open DevOps Roles
Nuro posts DevOps openings at varying seniority levels and team focuses. Use Migrate Mate to filter current listings by visa type so you're only reviewing roles Nuro has actively sponsored, saving time on applications unlikely to move forward.
Prepare for PERM If You're Targeting a Green Card
For EB-2 or EB-3 sponsorship, Nuro's legal team initiates a PERM labor certification with the DOL, a multi-month process requiring your role's requirements to match your actual credentials. Gaps between your degree field and your job duties are a common sticking point to address early.
DevOps at Nuro jobs are hiring across the US. Find yours.
Find DevOps at Nuro JobsFrequently Asked Questions
Does Nuro sponsor H-1B visas for DevOps roles?
Yes, Nuro sponsors H-1B visas for DevOps positions. The role needs to qualify as a specialty occupation under USCIS standards, meaning it requires a bachelor's degree or higher in a specific technical field. DevOps engineering roles tied to Nuro's autonomous vehicle infrastructure generally meet this threshold, particularly those involving systems architecture, cloud platforms, or site reliability engineering.
Which visa types does Nuro commonly use for DevOps positions?
Nuro supports a range of visa categories for DevOps hires, including H-1B, H-1B1 for Chilean and Singaporean nationals, TN for Canadian and Mexican professionals, F-1 OPT and CPT for students in active degree programs, J-1 for exchange visitors, and EB-2 or EB-3 for employer-sponsored permanent residence. The right category depends on your citizenship, education, and where you are in your career.
What qualifications are expected for DevOps roles at Nuro?
Nuro's DevOps openings typically require a bachelor's degree in computer science, software engineering, or a related discipline, alongside hands-on experience with infrastructure-as-code tools, container platforms like Kubernetes, and cloud environments. Robotics or autonomous systems exposure is a differentiator given Nuro's product focus. Roles at senior levels generally expect production-scale experience managing distributed systems.
How do I apply for DevOps jobs at Nuro?
You can browse current DevOps openings at Nuro and filter by visa sponsorship type on Migrate Mate, which surfaces roles Nuro has actively sponsored. Once you identify a match, apply directly through Nuro's careers page. Tailoring your resume to reflect the specific infrastructure stack and autonomous systems context Nuro operates in improves your chances of clearing the initial screen.
How do I understand the timeline from offer to visa approval at Nuro?
For H-1B transfers or new cap-subject filings, the process involves DOL Labor Condition Application certification before USCIS can receive the petition, which adds several weeks to the timeline. Cap-subject H-1B petitions are tied to the April lottery window and October 1 start dates. If you're already H-1B eligible through a prior employer, Nuro can file a transfer petition and you may begin working once USCIS receives it, not after approval.
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