J-1 Visa Platform Developer Jobs
Platform Developer roles in the U.S. are available to international professionals through the J-1 visa Trainee and Intern program categories, which require a designated sponsor organization to issue your DS-2019 and oversee your training plan. Finding a host employer willing to structure the engagement for J-1 sponsorship is the critical first step.
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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.
See all J-1 Visa Platform Developer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new J-1 Visa Platform Developer Jobs.
Get Access To All JobsTips for Finding J-1 Visa Sponsorship as a Platform Developer
Map your credentials to the Trainee category
The J-1 Trainee category requires a degree and one year of related experience, or five years of work experience. Document platform engineering projects, cloud infrastructure work, and DevOps contributions clearly so your training plan aligns with DOL requirements.
Target host employers with structured training programs
J-1 host organizations must submit a formal training plan to a designated sponsor. Technology companies with L&D teams or developer rotational programs are far more likely to meet that requirement than early-stage startups with no structured onboarding.
Use Migrate Mate to find J-1-aligned platform roles
Search Migrate Mate to identify U.S. employers actively posting Platform Developer roles that align with J-1 sponsorship arrangements. Filtering by role type helps you focus outreach on hosts already familiar with the exchange visitor framework.
Clarify the two-year home residency rule early
Some J-1 participants are subject to a two-year home-country physical presence requirement before changing to most other visa categories. Confirm with your designated sponsor whether your nationality or funding source triggers this requirement before accepting an offer.
Request the DS-2019 before your start date
Your designated sponsor organization, not your host employer, issues the DS-2019 that activates your J-1 status. Confirm the sponsor's processing timeline, typically several weeks, and align it with your intended start date to avoid gaps in authorization.
Verify your training plan covers real platform work
USCIS and the State Department require J-1 training to advance skills beyond what you already have. Ensure your training plan specifies platform-specific objectives such as CI/CD pipeline design, API integration, or cloud architecture, not generic software development tasks.
Platform Developer J-1 Visa: Frequently Asked Questions
Which J-1 program category applies to Platform Developer roles?
Current students pursuing a platform development internship typically use the J-1 Intern category. Early-career professionals with a relevant degree and at least one year of related experience, or five or more years of field experience, qualify for the J-1 Trainee category. Researchers working on platform infrastructure at universities or institutes may fall under Research Scholar.
Who actually sponsors the J-1 visa for a Platform Developer?
The visa sponsor is a U.S. Department of State-designated organization such as IIE, CIEE, Cultural Vistas, or AIPT, not your host employer. That organization issues your DS-2019 and monitors your training plan for compliance. The tech company or research institution where you work is the host, not the legal sponsor.
How do I find U.S. employers open to hosting a J-1 Platform Developer?
Migrate Mate lets you search Platform Developer roles posted by U.S. employers and identify those aligned with J-1 sponsorship arrangements. Because J-1 hosting requires a structured training plan submission, focusing your search on organizations with established technical training programs significantly improves your chances of a successful placement.
What does the J-1 training plan require for a platform development role?
The training plan must describe specific skills you will develop during the program that go beyond your current competencies. For Platform Developer roles, this means documenting objectives tied to areas such as distributed systems design, infrastructure automation, or platform reliability engineering. Generic descriptions of software tasks are routinely flagged by designated sponsors and USCIS reviewers.
Does the two-year home residency requirement affect Platform Developers on J-1?
It can. If your J-1 program is funded by your home government or the U.S. government, or if your home country lists your field on the State Department skills list, you may be subject to a two-year home-country return requirement before obtaining an H-1B visa, L-1 visa, or immigrant visa. Confirm your situation with your designated sponsor before accepting an offer.