ML Software Engineer Jobs at Nuro with Visa Sponsorship
ML Software Engineer jobs at Nuro sit at the intersection of perception, prediction, and real-world robotics deployment, as the company builds autonomous delivery technology. Nuro has an established record of sponsoring work visas across multiple categories, making it a realistic target for international engineers pursuing long-term U.S. careers.
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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
Nuro takes a machine-learning-first approach to autonomous driving technology. In an ML-first system, the overall system performance depends heavily on the quantity and diversity of its training and evaluation data.
The team plays a crucial role in the advancement of autonomous driving systems by creating a scalable and reliable data infrastructure. This infrastructure is designed to produce training and evaluation data derived from both on-road collected logs and simulation logs. Additionally, the team collaborates closely with system engineers to thoroughly validate the autonomous driving system before its deployment.
About the Work
- Design and develop unified, introspectable, large-scale batch and streaming data pipelines that can ingest and process data across a wide range of use cases relevant to evaluation.
- Create and implement a storage system capable of accommodating both the large volume and diverse range of evaluation and performance metrics.
- Construct intuitive dashboards and reports to present evaluation results, facilitating straightforward comparisons that highlight both improvements and regressions of the ML components and the overall system.
- Develop and maintain continuous testing and monitoring systems to guarantee the integrity and resilience of our data and associated data pipelines.
- Develop data mining tools with applied ML techniques to support data discovery needs from Autonomy including Perception, Behavior, and Mapping.
- Develop data annotation tools to support first-party and third-party labeling workforce to provide high fidelity perception, mapping, and driving trajectory labels.
- Scale data annotation labels with applied State-of-the-art ML techniques.
About You
- You have a degree in BS, MS.c or Ph.D, plus 4 years of relevant work experience.
- Strong proficiency in Python or similar languages.
- Domain experience: Experience working with large-scale data and building scalable & reliable systems/data pipelines; ability to understand and design complex systems.
- Engineering leadership: Experience setting team or project product and technical vision, timelines, and prioritization; being a Technical Lead, mentoring and support junior engineers.
- Technical excellence: Ability and willingness to deep dive into implementation, driving technical standards and best practices across broader software organization.
- A bachelor's degree in Computer Science, Electrical Engineering, or a closely related field.
Bonus Points
- Strong proficiency in C++ or other high-performance low-level languages.
- Strong knowledge of GCP, GCS, BigQuery, or PostgreSQL.
- Knowledge of data engineering, and its tooling and best practices.
- Knowledge of batch and streaming data processing, warehousing, and analytics solutions.
- Experience working with large-scale distributed data systems.
- Experience with system & framework design.
- Experience with data workflow orchestration platforms.
At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $193,930 and $352,290 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.
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
Nuro takes a machine-learning-first approach to autonomous driving technology. In an ML-first system, the overall system performance depends heavily on the quantity and diversity of its training and evaluation data.
The team plays a crucial role in the advancement of autonomous driving systems by creating a scalable and reliable data infrastructure. This infrastructure is designed to produce training and evaluation data derived from both on-road collected logs and simulation logs. Additionally, the team collaborates closely with system engineers to thoroughly validate the autonomous driving system before its deployment.
About the Work
- Design and develop unified, introspectable, large-scale batch and streaming data pipelines that can ingest and process data across a wide range of use cases relevant to evaluation.
- Create and implement a storage system capable of accommodating both the large volume and diverse range of evaluation and performance metrics.
- Construct intuitive dashboards and reports to present evaluation results, facilitating straightforward comparisons that highlight both improvements and regressions of the ML components and the overall system.
- Develop and maintain continuous testing and monitoring systems to guarantee the integrity and resilience of our data and associated data pipelines.
- Develop data mining tools with applied ML techniques to support data discovery needs from Autonomy including Perception, Behavior, and Mapping.
- Develop data annotation tools to support first-party and third-party labeling workforce to provide high fidelity perception, mapping, and driving trajectory labels.
- Scale data annotation labels with applied State-of-the-art ML techniques.
About You
- You have a degree in BS, MS.c or Ph.D, plus 4 years of relevant work experience.
- Strong proficiency in Python or similar languages.
- Domain experience: Experience working with large-scale data and building scalable & reliable systems/data pipelines; ability to understand and design complex systems.
- Engineering leadership: Experience setting team or project product and technical vision, timelines, and prioritization; being a Technical Lead, mentoring and support junior engineers.
- Technical excellence: Ability and willingness to deep dive into implementation, driving technical standards and best practices across broader software organization.
- A bachelor's degree in Computer Science, Electrical Engineering, or a closely related field.
Bonus Points
- Strong proficiency in C++ or other high-performance low-level languages.
- Strong knowledge of GCP, GCS, BigQuery, or PostgreSQL.
- Knowledge of data engineering, and its tooling and best practices.
- Knowledge of batch and streaming data processing, warehousing, and analytics solutions.
- Experience working with large-scale distributed data systems.
- Experience with system & framework design.
- Experience with data workflow orchestration platforms.
At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $193,930 and $352,290 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.
Tips for Finding ML Software Engineer Jobs at Nuro
Tailor your portfolio to autonomy-specific ML
Nuro's ML work centers on perception systems, sensor fusion, and on-vehicle inference. Highlight projects involving computer vision, object detection, or real-time model deployment rather than general data science or NLP work.
Confirm your visa category before applying
Nuro sponsors several visa types, including H-1B, TN, and F-1 OPT. Knowing which category fits your status before you reach the offer stage prevents delays, since some categories require employer-initiated filings with USCIS before your start date.
Align your application timing with OPT cap-gap rules
If you're on F-1 OPT and your H-1B is selected in the lottery, cap-gap protects your status through September 30. Plan your Nuro start date and any USCIS filing deadlines around this window to avoid a gap in work authorization.
Browse open ML roles through Migrate Mate
Nuro's ML Software Engineer openings vary by specialization and seniority. Use Migrate Mate to filter for roles that explicitly support visa sponsorship so you're targeting positions where your immigration status won't be a blocker.
Prepare specialty occupation documentation early
H-1B petitions for ML Software Engineer roles require evidence that the position qualifies as a specialty occupation under USCIS standards. Gather your academic transcripts and any credential evaluations before you receive an offer, not after.
Ask about PERM timing during offer negotiations
If your goal is a Green Card, ask the recruiting team when the company typically initiates PERM labor certification for engineers at your level. Earlier filing locks in a priority date before backlogs grow, which matters significantly for Indian and Chinese nationals.
Frequently Asked Questions
Does Nuro sponsor H-1B visas for ML Software Engineers?
Yes, Nuro sponsors H-1B visas for ML Software Engineer roles. The H-1B is the most common path for international engineers at U.S. technology companies. Because H-1B slots are subject to an annual lottery, your employer submits a registration in March for an October 1 start. Nuro also sponsors H-1B1 visas for eligible Chilean and Singaporean nationals, which bypass the lottery entirely.
How do I apply for ML Software Engineer jobs at Nuro?
Applications go through Nuro's careers page, where ML Software Engineer roles are listed by team and specialization. You can also browse current openings that explicitly support visa sponsorship through Migrate Mate, which filters positions by immigration category. Expect a multi-round technical process covering ML fundamentals, coding, and system design, often with a focus on perception or on-vehicle inference problems.
Which visa types does Nuro commonly use for ML Software Engineers?
Nuro sponsors H-1B, H-1B1 visa, F-1 OPT, F-1 CPT, TN visa, J-1 visa, and employment-based Green Cards including EB-2 and EB-3 categories. F-1 students often start on OPT or CPT during an internship or new-grad role, then transition to H-1B. Canadian and Mexican nationals in qualifying ML occupations may be eligible for TN visa status, which does not require a lottery and can be processed quickly at the border.
What qualifications does Nuro expect for ML Software Engineer roles?
Most ML Software Engineer positions at Nuro expect a bachelor's degree or higher in computer science, electrical engineering, or a closely related field, with hands-on experience in deep learning frameworks such as PyTorch or TensorFlow. Roles focused on autonomous systems often weight experience in 3D perception, point cloud processing, or real-time inference on embedded hardware more heavily than general ML research background.
How long does the H-1B sponsorship process take for a Nuro role?
The standard H-1B timeline runs roughly six to eight months from lottery registration in March to an October 1 start date. USCIS premium processing, which Nuro may offer, reduces the petition adjudication window to 15 business days. If you're transitioning from F-1 OPT, your existing work authorization covers the gap. For EB-2 or EB-3 Green Card sponsorship, PERM labor certification with DOL typically adds 12 to 18 months before the I-140 petition stage.