AI Engineer Jobs at Nuro with Visa Sponsorship
AI Engineer jobs at Nuro involve developing the perception, planning, and machine learning systems that power autonomous delivery vehicles. The company has a consistent record of sponsoring work visas across multiple categories, making it a realistic target for international candidates in robotics and applied AI.
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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
As a software engineering intern, you will work closely with leading experts in the field of machine learning, robotics, and software. Depending on your skill sets and areas of interest, you will work on some or all of the following: Data Platform, Onboard Systems, ML Infrastructure, Simulation, or Technical Infrastructure teams.
About The Work
Depending on your skill set and areas of interest you will work on some or all of the following:
-
Data Platform: The Data Platform serves as a comprehensive management system for Nuro AI Driver's data, labels, and metrics, facilitating seamless access functionality. The team focuses on data annotation across various domains, including 2D/3D perception, mapping, behavior trajectory, and language/text. It also handles data ingestion and mining, employing methods such as heuristics and embedding search. Additionally, the platform supports the autonomy evaluation infrastructure by providing detailed introspection.
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Onboard Systems: Our onboard system team’s software engineers provide a reliable and high-performance platform that allows our autonomy teams to integrate their autonomy software and algorithms that work across various self-driving platforms. This work requires close collaboration with our software teams, hardware teams, and systems/safety team to make sure new software and hardware work together safely and reliably and resolve onboard error and performance problems.
-
ML Infrastructure: The ML Infra team is the accelerator to our ML-first autonomy strategy. This team provides solutions to empower machine learning development in Nuro and optimize on-cloud training and onboard inference. Our solutions include a distributed training platform, ML compiler, model components libraries, etc. The team provides opportunities for infra engineers to work fully embedded in ML teams to build cutting edge deep learning technologies.
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Simulation: The Simulation team builds the simulator that allows us to develop and test our autonomous driving technology in a virtual setting. We work on the core simulator and simulation frameworks, sensor simulation, scenario generation, and solutions that combine real-world data with synthetic techniques to push the boundaries of what can be simulated, collaborating closely with teams across Autonomy and AI Platform to allow us to simulate realistically and reliably at scale.
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Technical Infrastructure: This group owns few fundamental services for entire engineering organizations: generic compute platform to host mission-critical workflows such as data processing and simulation, storage management service which manages hundreds of PB of data, cloud infrastructure serves as IaaC which provisions and maintains all cloud resources, engineering productivity provides tools such as build and CI/CD to make engineering work more efficient.
About You
You have deep expertise and prior experience in some or many of the following areas:
- You are a current BS or MS candidate in Computer Science, Electrical Engineering, Robotics, or a related field graduating in December 2026 or later
- You have experience in one or more of the following areas: backend API design, applications development, large-scale distributed systems; data storage and processing systems; advanced algorithms using C++ and Python; machine learning, multithreading; x86 architecture; and software performance tuning and optimization, robotics software frameworks, different compute modalities (CPU, GPU, FPGA) etc.
- You have strong problem solving and programming skills.
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.
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
As a software engineering intern, you will work closely with leading experts in the field of machine learning, robotics, and software. Depending on your skill sets and areas of interest, you will work on some or all of the following: Data Platform, Onboard Systems, ML Infrastructure, Simulation, or Technical Infrastructure teams.
About The Work
Depending on your skill set and areas of interest you will work on some or all of the following:
-
Data Platform: The Data Platform serves as a comprehensive management system for Nuro AI Driver's data, labels, and metrics, facilitating seamless access functionality. The team focuses on data annotation across various domains, including 2D/3D perception, mapping, behavior trajectory, and language/text. It also handles data ingestion and mining, employing methods such as heuristics and embedding search. Additionally, the platform supports the autonomy evaluation infrastructure by providing detailed introspection.
-
Onboard Systems: Our onboard system team’s software engineers provide a reliable and high-performance platform that allows our autonomy teams to integrate their autonomy software and algorithms that work across various self-driving platforms. This work requires close collaboration with our software teams, hardware teams, and systems/safety team to make sure new software and hardware work together safely and reliably and resolve onboard error and performance problems.
-
ML Infrastructure: The ML Infra team is the accelerator to our ML-first autonomy strategy. This team provides solutions to empower machine learning development in Nuro and optimize on-cloud training and onboard inference. Our solutions include a distributed training platform, ML compiler, model components libraries, etc. The team provides opportunities for infra engineers to work fully embedded in ML teams to build cutting edge deep learning technologies.
-
Simulation: The Simulation team builds the simulator that allows us to develop and test our autonomous driving technology in a virtual setting. We work on the core simulator and simulation frameworks, sensor simulation, scenario generation, and solutions that combine real-world data with synthetic techniques to push the boundaries of what can be simulated, collaborating closely with teams across Autonomy and AI Platform to allow us to simulate realistically and reliably at scale.
-
Technical Infrastructure: This group owns few fundamental services for entire engineering organizations: generic compute platform to host mission-critical workflows such as data processing and simulation, storage management service which manages hundreds of PB of data, cloud infrastructure serves as IaaC which provisions and maintains all cloud resources, engineering productivity provides tools such as build and CI/CD to make engineering work more efficient.
About You
You have deep expertise and prior experience in some or many of the following areas:
- You are a current BS or MS candidate in Computer Science, Electrical Engineering, Robotics, or a related field graduating in December 2026 or later
- You have experience in one or more of the following areas: backend API design, applications development, large-scale distributed systems; data storage and processing systems; advanced algorithms using C++ and Python; machine learning, multithreading; x86 architecture; and software performance tuning and optimization, robotics software frameworks, different compute modalities (CPU, GPU, FPGA) etc.
- You have strong problem solving and programming skills.
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.
Tips for Finding AI Engineer Jobs at Nuro
Align your portfolio to autonomous systems work
Nuro's AI roles center on perception, motion planning, and real-world ML deployment, not web-scale recommendation models. Tailor your GitHub projects and technical writeups to reflect embedded or safety-critical AI work before applying.
Confirm your visa type before the offer stage
Nuro sponsors several nonimmigrant categories, including TN for Canadian and Mexican nationals and H-1B1 visa for Singaporeans and Chileans. Knowing which category fits your citizenship before the offer letter avoids delays during HR processing.
Request specialty occupation documentation early
For H-1B filings, USCIS requires the employer to establish that the AI Engineer role qualifies as a specialty occupation. Ask your recruiter whether the position has an existing precedent decision or LCA history to reduce your petition's RFE risk.
Use OPT strategically while targeting Nuro
F-1 students in STEM fields get a 24-month OPT extension, giving you up to three years of work authorization. That window covers at least two H-1B lottery cycles, so a missed lottery in your first year does not end your path at Nuro.
Search Nuro AI Engineer roles on Migrate Mate
Filtering by visa type and role function saves time when you're targeting sponsoring employers. Use Migrate Mate to surface open AI Engineer positions at Nuro and identify which visa categories the company is currently filing for.
Prepare for technical depth in the interview loop
Nuro's AI Engineer interviews typically include system design questions specific to autonomous vehicle stacks and live coding on ML fundamentals. Arriving with hands-on knowledge of sensor fusion or trajectory prediction signals genuine readiness for their production environment.
Frequently Asked Questions
Does Nuro sponsor H-1B visas for AI Engineers?
Yes, Nuro sponsors H-1B visas for AI Engineer roles. The company has a documented history of filing H-1B petitions in the Technology and Software sector. If you are subject to the annual H-1B cap, your employer submits a registration in March and, if selected, files the full petition by June 30 for an October 1 start date.
How do I apply for AI Engineer jobs at Nuro?
Applications go through Nuro's careers portal. You can also find open AI Engineer positions filtered by visa sponsorship availability on Migrate Mate, which makes it easier to confirm a role supports your specific visa category before you invest time in the application process. Tailor your resume to autonomous systems and applied ML work to match Nuro's core hiring focus.
Which visa types does Nuro commonly sponsor for AI Engineers?
Nuro sponsors H-1B, H-1B1 visa, TN visa, F-1 OPT, F-1 CPT, J-1 visa, and employment-based Green Card categories including EB-2 and EB-3 for AI Engineers. The right category depends on your citizenship and current immigration status. Canadian and Mexican nationals frequently use TN visa, while most other international candidates go through the H-1B or OPT pathways.
What qualifications does Nuro expect from AI Engineer candidates?
Nuro typically looks for a bachelor's degree or higher in Computer Science, Electrical Engineering, Robotics, or a closely related field, which also satisfies USCIS specialty occupation requirements for H-1B purposes. Practical experience with perception systems, motion planning, or large-scale model training in a production environment carries significant weight alongside academic credentials.
How do I plan my timeline if I need H-1B sponsorship at Nuro?
The H-1B registration window opens each March, and USCIS conducts the lottery shortly after. If selected, your employer has until June 30 to file the full petition, and your employment can begin October 1. Start your job search at Nuro no later than January to give yourself time to receive an offer and allow HR to register you before the March deadline closes.