Senior Data Science Engineer Jobs at Nuro with Visa Sponsorship
Nuro builds autonomous delivery robots at the intersection of machine learning, robotics, and real-world deployment. Senior Data Science Engineer roles here sit at the core of that mission, and Nuro has a consistent track record of sponsoring work visas for qualified engineers in this function.
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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 Data Science Engineer Jobs at Nuro Jobs
Frame your ML work around physical systems
Nuro's data science work is applied to autonomous vehicle perception and prediction, not just analytics. Highlight experience with time-series sensor data, simulation pipelines, or real-world model deployment rather than pure business intelligence work.
Target roles where your visa fits the timeline
Nuro sponsors multiple visa categories, so confirm which type applies to your situation before applying. If you're on F-1 OPT, factor in the 60-day grace period and align your application timeline so sponsorship paperwork can begin before your authorization lapses.
Research Nuro's LCA filings on DOL disclosure data
The DOL's OFLC disclosure database shows the job titles, worksite locations, and wage levels Nuro has certified for past H-1B petitions. Filter by Standard Occupational Classification codes for data scientists to confirm which roles and salary bands align with your target position.
Use Migrate Mate to find open Senior Data Science Engineer roles
Sponsorship-eligible openings at Nuro can be hard to surface through general job boards. Use Migrate Mate to filter specifically for Senior Data Science Engineer roles at Nuro that are open to visa sponsorship, so you're not applying blind.
Prepare a specialty occupation case for your degree field
USCIS requires H-1B roles to qualify as specialty occupations, meaning a specific bachelor's degree is theoretically required. For senior data science roles, a degree in statistics, computer science, or applied mathematics strengthens that case compared to a general engineering background.
Clarify sponsorship scope before your offer stage
Some employers sponsor H-1B transfers but not new cap-subject petitions. During late-stage interviews, ask directly whether Nuro files cap-subject H-1B petitions, handles premium processing, and supports Green Card sponsorship through EB-2 or EB-3 after a defined tenure.
Senior Data Science Engineer at Nuro jobs are hiring across the US. Find yours.
Find Senior Data Science Engineer at Nuro JobsFrequently Asked Questions
Does Nuro sponsor H-1B visas for Senior Data Science Engineers?
Yes, Nuro sponsors H-1B visas for Senior Data Science Engineers. The company operates in autonomous vehicle technology, a field where specialized data science expertise is core to the business, and Nuro has a consistent history of filing H-1B petitions for engineering roles at this level. Confirm current sponsorship scope with your recruiter during the offer stage.
Which visa types does Nuro commonly sponsor for Senior Data Science Engineer roles?
Nuro sponsors several visa categories for this role, including H-1B, H-1B1 for Chilean and Singaporean nationals, TN for Canadian and Mexican nationals, F-1 OPT and CPT for students, J-1 for exchange visitors, and employment-based Green Cards through the EB-2 and EB-3 preference categories. The right category depends on your nationality, degree level, and career stage.
What qualifications and experience does Nuro expect for Senior Data Science Engineer positions?
Senior Data Science Engineer roles at Nuro typically require strong proficiency in machine learning model development and deployment, experience working with large-scale structured and unstructured datasets, and a background in Python or similar languages. Given Nuro's focus on autonomous systems, experience with perception models, sensor fusion data, or production ML infrastructure is particularly relevant at the senior level.
How do I apply for Senior Data Science Engineer jobs at Nuro?
You can browse and apply for Senior Data Science Engineer roles at Nuro through Migrate Mate, which surfaces visa-sponsorship-eligible openings specifically filtered for your situation. Review the job requirements carefully, tailor your resume to highlight applied ML work in physical or robotics-adjacent domains, and confirm visa sponsorship availability with the recruiter early in the process.
How do I time my application if I need H-1B sponsorship at Nuro?
The H-1B cap-subject lottery opens each April for an October 1 start date. If you're on F-1 OPT, confirm your OPT expiration and apply with enough lead time for Nuro to file your petition before the April registration window. USCIS premium processing can reduce the adjudication wait to 15 business days once a petition is filed, which helps with planning around an offer.
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