Senior Software Engineering Jobs at Nuro with Visa Sponsorship
Nuro builds autonomous vehicle technology, and its Senior Software Engineering roles span perception, planning, motion control, and full-stack infrastructure. The company has a consistent track record of sponsoring work visas for qualified engineers, making it a realistic target for international candidates with strong robotics or systems software backgrounds.
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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 Senior Software Engineering Jobs at Nuro Jobs
Align your portfolio to Nuro's technical stack
Nuro's Senior Software Engineering roles consistently require experience in C++, Python, and distributed systems for real-time robotics applications. Tailor your portfolio and resume to show production-level work in these areas before applying.
Use Migrate Mate to filter open roles by sponsorship
Finding senior engineering roles that actively sponsor can save weeks of research. Use Migrate Mate to browse Nuro's current Senior Software Engineering openings filtered by your specific visa type before reaching out to recruiters.
Prepare credentials that satisfy specialty occupation standards
USCIS requires that H-1B specialty occupation roles mandate at least a bachelor's degree in a specific technical field. For robotics and autonomous systems roles, gather transcripts and any advanced coursework that ties your degree directly to your engineering discipline.
Time your application around H-1B cap deadlines
If you need H-1B cap sponsorship, USCIS registration opens in March for an October 1 start date. Factor that timeline into your interview schedule so an offer can realistically convert to a filed petition within the same registration cycle.
Clarify OPT STEM extension eligibility before your offer expires
F-1 candidates joining Nuro on OPT should confirm their degree qualifies for the 24-month STEM extension, which requires the employer to participate in E-Verify. Get that confirmation from Nuro's HR team before your initial OPT period ends.
Senior Software Engineering at Nuro jobs are hiring across the US. Find yours.
Find Senior Software Engineering at Nuro JobsFrequently Asked Questions
Does Nuro sponsor H-1B visas for Senior Software Engineers?
Yes, Nuro sponsors H-1B visas for Senior Software Engineering roles. The company has an active sponsorship program covering both cap-subject H-1B petitions and extensions. If you're already in H-1B status with another employer, Nuro can also file an H-1B transfer, which lets you start work as soon as USCIS receives the petition.
How do I apply for Senior Software Engineering jobs at Nuro?
You can browse and apply for Senior Software Engineering roles at Nuro directly through their careers portal. For international candidates, Migrate Mate lets you filter Nuro's open roles by visa type so you can confirm sponsorship eligibility before submitting your application. The interview process typically includes a recruiter screen, technical assessments focused on systems design and coding, and a final round with the engineering team.
Which visa types does Nuro commonly sponsor for Senior Software Engineering roles?
Nuro sponsors a range of visa categories for Senior Software Engineering positions, including H-1B, H-1B1, TN, J-1, and F-1 OPT and CPT. The company also supports Green Card pathways through EB-2 and EB-3 classifications. TN visas apply to Canadian and Mexican nationals in qualifying engineering disciplines, and H-1B1 is available exclusively to Chilean and Singaporean nationals.
What qualifications does Nuro expect for Senior Software Engineering candidates?
Senior Software Engineering roles at Nuro typically require a bachelor's or master's degree in Computer Science, Electrical Engineering, or a closely related field, along with several years of production engineering experience. Given Nuro's focus on autonomous vehicles, experience with real-time systems, C++, robotics middleware such as ROS, or machine learning infrastructure is commonly expected at the senior level.
How do I time my job search at Nuro around visa filing deadlines?
If you need an H-1B and aren't currently in status, start your Nuro application process no later than December or January so an offer can be in place before the USCIS registration window opens in March. OPT candidates should track their OPT end date and confirm STEM extension eligibility with Nuro's HR team early, since E-Verify enrollment is required and processing takes time.
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