Nuro H-1B Visa Sponsorship Jobs USA
Nuro sponsors H-1B visas across its autonomous vehicle and robotics engineering teams, making it a meaningful option for international candidates in deep tech. The company has a consistent track record of H-1B sponsorship for specialized technical roles where U.S. talent is competitive and hard to source.
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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
In this role, you will develop vision-language-action models for our onboard Behavior & Planning stack, with the goal of improving safe and robust decision-making in complex, long-tail driving scenarios. You will work on multimodal models that connect scene understanding, contextual reasoning, and planning-relevant representations for real-world autonomous driving. This role is focused on advancing state-of-the-art VLAs for autonomy, including model development, large-scale training, fine-tuning, evaluation, and onboard optimization. You will work closely with partners across behavior, planning, perception, systems, and infrastructure to translate research advances into practical capabilities deployed on our vehicles. If you are excited about building and deploying cutting-edge VLA systems for real-world robotics, we'd love to hear from you.
About The Work
- Develop and advance VLA models for onboard Behavior & Planning in autonomous driving systems.
- Build multimodal models that improve safe decision-making in complex, ambiguous, and long-tail driving scenarios.
- Research and apply state-of-the-art approaches in vision-language-action modeling, multimodal representation learning, and foundation models for autonomy.
- Train, fine-tune, and evaluate large-scale VLAs using diverse real-world driving data. Improve model quality, robustness, and generalization across challenging edge cases and dynamic real-world environments.
- Optimize models for onboard deployment, including inference efficiency, latency, memory usage, and runtime performance.
- Collaborate with autonomy, data, and infrastructure teams to define training, evaluation, and deployment requirements.
- Design effective evaluation methodologies for multimodal models in safety-critical applications.
- Contribute to scalable model and data pipelines that support rapid experimentation and production deployment.
About You
- You have deep expertise and prior experience in some or many of the following areas:
- You have an M.S. or Ph.D. in Computer Science, Machine Learning, Robotics, Artificial Intelligence, or a closely related field.
- You have 5+ years of industry and/or research experience in machine learning, with a focus on large-scale model development.
- You have strong experience with vision-language models (VLMs), multimodal foundation models, VLAs, or related architectures.
- You have hands-on experience with large-scale model training, fine-tuning, and evaluation.
- You have familiarity with core model components and techniques relevant to modern multimodal systems, such as Vision Transformers (ViTs) and large language models (LLMs).
- You have experience optimizing models for deployment, including inference speed, memory efficiency, and performance under onboard compute constraints.
- You have strong programming skills in Python and experience with modern deep learning frameworks such as PyTorch, JAX, and/or TensorFlow.
- You are an independent researcher and strong collaborator who can move fluidly from early-stage ideas to practical implementation.
- You thrive in a fast-paced research and development environment and are excited to deploy advanced ML systems in the real world.
Nice to Have
- Experience applying VLMs/VLAs or other foundation models to autonomous driving, robotics, or embodied AI.
- Familiarity with behavior, planning, scene understanding, or decision-making systems in AVs.
- Experience with multimodal data curation, dataset development, or data quality systems at scale.
- Experience with onboard ML deployment in real-time or resource-constrained environments.
- Publications in top-tier machine learning, robotics, or computer vision conferences such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, CoRL, RSS, or ICRA.
- Strong C++ skills or experience integrating ML models into production systems.
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.
At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $183,825.00 and $275,975.00/year 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.
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
In this role, you will develop vision-language-action models for our onboard Behavior & Planning stack, with the goal of improving safe and robust decision-making in complex, long-tail driving scenarios. You will work on multimodal models that connect scene understanding, contextual reasoning, and planning-relevant representations for real-world autonomous driving. This role is focused on advancing state-of-the-art VLAs for autonomy, including model development, large-scale training, fine-tuning, evaluation, and onboard optimization. You will work closely with partners across behavior, planning, perception, systems, and infrastructure to translate research advances into practical capabilities deployed on our vehicles. If you are excited about building and deploying cutting-edge VLA systems for real-world robotics, we'd love to hear from you.
About The Work
- Develop and advance VLA models for onboard Behavior & Planning in autonomous driving systems.
- Build multimodal models that improve safe decision-making in complex, ambiguous, and long-tail driving scenarios.
- Research and apply state-of-the-art approaches in vision-language-action modeling, multimodal representation learning, and foundation models for autonomy.
- Train, fine-tune, and evaluate large-scale VLAs using diverse real-world driving data. Improve model quality, robustness, and generalization across challenging edge cases and dynamic real-world environments.
- Optimize models for onboard deployment, including inference efficiency, latency, memory usage, and runtime performance.
- Collaborate with autonomy, data, and infrastructure teams to define training, evaluation, and deployment requirements.
- Design effective evaluation methodologies for multimodal models in safety-critical applications.
- Contribute to scalable model and data pipelines that support rapid experimentation and production deployment.
About You
- You have deep expertise and prior experience in some or many of the following areas:
- You have an M.S. or Ph.D. in Computer Science, Machine Learning, Robotics, Artificial Intelligence, or a closely related field.
- You have 5+ years of industry and/or research experience in machine learning, with a focus on large-scale model development.
- You have strong experience with vision-language models (VLMs), multimodal foundation models, VLAs, or related architectures.
- You have hands-on experience with large-scale model training, fine-tuning, and evaluation.
- You have familiarity with core model components and techniques relevant to modern multimodal systems, such as Vision Transformers (ViTs) and large language models (LLMs).
- You have experience optimizing models for deployment, including inference speed, memory efficiency, and performance under onboard compute constraints.
- You have strong programming skills in Python and experience with modern deep learning frameworks such as PyTorch, JAX, and/or TensorFlow.
- You are an independent researcher and strong collaborator who can move fluidly from early-stage ideas to practical implementation.
- You thrive in a fast-paced research and development environment and are excited to deploy advanced ML systems in the real world.
Nice to Have
- Experience applying VLMs/VLAs or other foundation models to autonomous driving, robotics, or embodied AI.
- Familiarity with behavior, planning, scene understanding, or decision-making systems in AVs.
- Experience with multimodal data curation, dataset development, or data quality systems at scale.
- Experience with onboard ML deployment in real-time or resource-constrained environments.
- Publications in top-tier machine learning, robotics, or computer vision conferences such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, CoRL, RSS, or ICRA.
- Strong C++ skills or experience integrating ML models into production systems.
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.
At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $183,825.00 and $275,975.00/year 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.
Job Roles at Nuro
How to Get Visa Sponsorship in Nuro H-1B Visa Sponsorship Jobs USA
Target roles that align with Nuro's core technology stack
Nuro's H-1B sponsorship is concentrated in robotics, machine learning, autonomy software, and hardware engineering. Applying to roles that map directly to its autonomous delivery platform gives you the strongest case for sponsorship consideration.
Apply well before the H-1B cap registration window
Nuro follows the standard H-1B cap cycle with an April 1 start date. To be included in the lottery, you need a job offer secured months earlier. Starting your outreach in the fall gives the hiring team enough runway to file on your behalf.
Demonstrate specialized expertise, not just relevant experience
H-1B specialty occupation requires a direct link between your degree and the role. At a technology company like Nuro, clearly articulating how your specific academic background applies to the position strengthens both your candidacy and the petition itself.
Use Migrate Mate to confirm Nuro's sponsorship history before applying
Migrate Mate surfaces verified sponsors so you can filter by real sponsorship history and confirm Nuro actively files H-1B petitions. This saves time and helps you prioritize applications to companies with a genuine track record of sponsoring international hires.
Engage Nuro's talent team directly at recruiting events
Nuro recruits heavily from top engineering programs and robotics-focused graduate schools. Connecting with their recruiters at university career fairs or AI and autonomy conferences puts you in front of hiring managers who already understand H-1B sponsorship.
Be transparent about your visa status early in the process
Nuro's recruiting team handles international candidates regularly. Disclosing your H-1B need upfront, rather than waiting for an offer, allows the team to loop in legal counsel early and avoids delays when the process moves quickly.
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Get Access To All JobsFrequently Asked Questions
Does Nuro sponsor H-1B visas?
Yes, Nuro sponsors H-1B visas for qualified international candidates. The company operates in autonomous vehicle technology, a field that draws heavily from a global engineering talent pool. Sponsorship is most common for specialized technical roles where Nuro has identified a strong candidate who meets H-1B specialty occupation requirements.
Which roles at Nuro are most likely to receive H-1B sponsorship?
H-1B sponsorship at Nuro is concentrated in technical disciplines including robotics engineering, machine learning, computer vision, autonomy software, and hardware systems. These roles require highly specialized academic credentials and professional experience, which aligns well with the H-1B specialty occupation standard. Business and operational roles are sponsored less frequently.
How do I navigate the H-1B application process at Nuro?
Once Nuro extends an offer, their immigration legal team takes over the petition process. You'll provide educational credentials, employment history, and documentation supporting the specialty occupation claim. The employer files the Labor Condition Application with the Department of Labor first, then submits Form I-129 to USCIS after your registration is selected in the lottery.
How long does H-1B sponsorship take at Nuro?
The full timeline from offer to H-1B start date typically spans six to twelve months when going through the standard cap cycle. Registration opens in March, the lottery runs shortly after, and approved petitions take effect October 1. Premium processing is available and can reduce USCIS adjudication to a matter of weeks, though it does not affect the October 1 start date.
How do I find H-1B jobs at Nuro as an international applicant?
Migrate Mate lets you search specifically for roles at verified H-1B sponsors like Nuro, so you're not guessing about which companies will actually file. Once you've identified open positions, apply early and communicate your visa status clearly in your initial conversations with Nuro's recruiting team to avoid surprises later in the process.
What is the prevailing wage for H-1B jobs at Nuro?
H-1B employers must pay at least the prevailing wage, which is determined when they file the Labor Condition Application with the Department of Labor. The rate is based on the role, location, and experience level, and ensures international hires are paid comparably to U.S. workers in the same position. You can look up prevailing wage rates for any occupation and location using the DOL's OFLC Wage Search tool.
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