ML Software Engineer Jobs at Nuro with Visa Sponsorship
Nuro builds autonomous delivery technology, and its ML Software Engineer roles sit at the intersection of perception, prediction, and real-world robotics deployment. 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 is seeking a Software Engineer with expertise in large-scale infrastructure, workload orchestration, and data processing to join our ML Infrastructure team. In this role, you will focus on building and evolving the core platform that provides researchers and engineers with seamless access to compute and data resources. You will be responsible for executing the technical strategy for automated resource provisioning, high-performance workload scheduling, and efficient feature management to accelerate the Nuro Driver™ development lifecycle.
About the Work
You will build the foundation that powers Nuro’s model development from experimentation to production. Key responsibilities include:
- Resource Provisioning & IaC: Scaling automated infrastructure-as-code (IaC) pipelines to manage thousands of GPU/CPU nodes across diverse environments.
- Intelligent Scheduling: Designing and optimizing workload orchestration to maximize hardware utilization, minimize job wait times, and handle massive-scale distributed training.
- Data & ETL: Designing robust pipelines for the extraction and transformation of petabyte-scale sensor and telemetry data into ML-ready formats.
- Feature Management: Implementing robust feature caching and storage solutions to reduce redundant computations and ensure low-latency access to pre-computed features.
- Platform Abstraction: Contributing to a unified ML platform that abstracts complex cloud infrastructure for end-users.
About You
- Experience: 3+ years of professional experience in ML Infrastructure, Backend Platform Engineering, or Distributed Systems.
- Resource Provisioning: Deep familiarity with modern Infrastructure-as-Code and provisioning tools such as Terraform, Pulumi, or Crossplane.
- Workload Scheduling: Hands-on experience building or managing large-scale orchestrators for compute-heavy workloads (e.g., Kubernetes, KubeRay, Ray, Slurm, or Volcano).
- Distributed Data Processing: Proficiency in at least one distributed processing framework, such as Apache Spark or Apache Beam, for large-scale data extraction and transformation.
- Feature Management: Experience implementing or maintaining feature stores and caching layers (e.g., Feast, Hopsworks, or Redis-based custom caching).
- Systems Design: A strong understanding of distributed systems, networking, and storage bottlenecks in the context of high-performance computing.
Bonus Points
- Active contributor to open-source projects in the MLOps or Cloud-Native ecosystem (e.g., CNCF, Ray, or Kubeflow communities).
- Experience with high-performance storage systems (e.g., Lustre, Ceph, or specialized NVMe caching) for ML data loading.
- Knowledge of cost-optimization strategies for large-scale GPU clusters in public clouds (AWS, GCP, or Azure).
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.
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 is seeking a Software Engineer with expertise in large-scale infrastructure, workload orchestration, and data processing to join our ML Infrastructure team. In this role, you will focus on building and evolving the core platform that provides researchers and engineers with seamless access to compute and data resources. You will be responsible for executing the technical strategy for automated resource provisioning, high-performance workload scheduling, and efficient feature management to accelerate the Nuro Driver™ development lifecycle.
About the Work
You will build the foundation that powers Nuro’s model development from experimentation to production. Key responsibilities include:
- Resource Provisioning & IaC: Scaling automated infrastructure-as-code (IaC) pipelines to manage thousands of GPU/CPU nodes across diverse environments.
- Intelligent Scheduling: Designing and optimizing workload orchestration to maximize hardware utilization, minimize job wait times, and handle massive-scale distributed training.
- Data & ETL: Designing robust pipelines for the extraction and transformation of petabyte-scale sensor and telemetry data into ML-ready formats.
- Feature Management: Implementing robust feature caching and storage solutions to reduce redundant computations and ensure low-latency access to pre-computed features.
- Platform Abstraction: Contributing to a unified ML platform that abstracts complex cloud infrastructure for end-users.
About You
- Experience: 3+ years of professional experience in ML Infrastructure, Backend Platform Engineering, or Distributed Systems.
- Resource Provisioning: Deep familiarity with modern Infrastructure-as-Code and provisioning tools such as Terraform, Pulumi, or Crossplane.
- Workload Scheduling: Hands-on experience building or managing large-scale orchestrators for compute-heavy workloads (e.g., Kubernetes, KubeRay, Ray, Slurm, or Volcano).
- Distributed Data Processing: Proficiency in at least one distributed processing framework, such as Apache Spark or Apache Beam, for large-scale data extraction and transformation.
- Feature Management: Experience implementing or maintaining feature stores and caching layers (e.g., Feast, Hopsworks, or Redis-based custom caching).
- Systems Design: A strong understanding of distributed systems, networking, and storage bottlenecks in the context of high-performance computing.
Bonus Points
- Active contributor to open-source projects in the MLOps or Cloud-Native ecosystem (e.g., CNCF, Ray, or Kubeflow communities).
- Experience with high-performance storage systems (e.g., Lustre, Ceph, or specialized NVMe caching) for ML data loading.
- Knowledge of cost-optimization strategies for large-scale GPU clusters in public clouds (AWS, GCP, or Azure).
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.
See all 32+ ML Software Engineer at Nuro jobs
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Get Access To All JobsTips for Finding ML Software Engineer Jobs at Nuro Jobs
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.
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.
ML Software Engineer at Nuro jobs are hiring across the US. Find yours.
Find ML Software Engineer at Nuro JobsFrequently 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, F-1 OPT, F-1 CPT, TN, J-1, 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 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.
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