ML Engineer Jobs at Nuro with Visa Sponsorship
Nuro builds autonomous delivery robots, and its ML Engineer roles sit at the intersection of perception, prediction, and real-world deployment. The company sponsors a broad range of work visas for this function, making it a realistic target for international candidates with strong machine learning foundations.
See All ML Engineer at Nuro JobsOverview
Showing 5 of 33+ ML Engineer Jobs at Nuro jobs
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all 33+ ML Engineer Jobs at Nuro
Sign up for free to unlock all listings, filter by visa type, and get alerts for new ML Engineer Jobs at Nuro.
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 33+ ML Engineer at Nuro jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new ML Engineer at Nuro roles.
Get Access To All JobsTips for Finding ML Engineer Jobs at Nuro Jobs
Align your portfolio to physical autonomy systems
Nuro's ML work centers on perception, motion planning, and sensor fusion for real-world deployment. Before applying, make sure your portfolio shows experience with these domains specifically, not just general deep learning or NLP projects.
Request a cap-exempt H-1B pathway conversation early
If you missed the H-1B lottery, ask Nuro's recruiting team whether any of its research or lab affiliations qualify for cap-exempt filing. Some autonomous vehicle companies maintain university partnerships that open this option for ML roles.
Use Migrate Mate to filter ML Engineer openings by visa type
Nuro posts ML Engineer roles across perception, prediction, and infrastructure tracks. Use Migrate Mate to surface which open positions align with the visa category your status requires, so you apply to roles where sponsorship is already confirmed.
Prepare your degree equivalency documentation before the offer stage
USCIS requires that H-1B specialty occupation petitions show your degree directly relates to the offered role. For ML Engineer positions, a credential evaluation linking your degree to machine learning or computer science prevents delays at the I-129 stage.
Understand how PERM timing affects EB-2 or EB-3 sponsorship
If long-term Green Card sponsorship matters to you, ask during negotiation whether Nuro initiates PERM labor certification for ML Engineers. DOL processing currently runs over a year, so earlier employer commitment meaningfully affects your immigration timeline.
ML Engineer at Nuro jobs are hiring across the US. Find yours.
Find ML Engineer at Nuro JobsFrequently Asked Questions
Does Nuro sponsor H-1B visas for ML Engineers?
Yes, Nuro sponsors H-1B visas for ML Engineer roles. The company has an active sponsorship track record for technical positions in its machine learning and autonomy teams. Because H-1B selection depends on the annual lottery run by USCIS each April, candidates already on F-1 OPT or another valid status are often in the strongest position to begin the process.
How do I apply for ML Engineer jobs at Nuro?
You can browse and apply for ML Engineer openings at Nuro directly through Migrate Mate, which filters roles by visa sponsorship eligibility so you see only positions relevant to your status. Nuro's ML hiring typically emphasizes a technical screen followed by multiple system design and coding rounds focused on perception, modeling, or infrastructure, depending on the specific team.
Which visa types does Nuro commonly use for ML Engineers?
Nuro sponsors several visa categories for ML Engineers, including H-1B, H-1B1, TN for Canadian and Mexican nationals, F-1 OPT and CPT for students completing degrees, J-1 for research-track roles, and employment-based Green Card pathways under EB-2 and EB-3 for longer-term sponsorship. The right category depends on your nationality, current status, and the specific role's requirements.
What qualifications does Nuro expect from ML Engineer candidates?
Nuro's ML Engineer roles typically require a graduate degree or equivalent industry experience in machine learning, computer science, or a closely related field. Hands-on experience with perception systems, neural network architectures, or real-time inference pipelines is strongly preferred. Research publications or contributions to open-source ML projects can differentiate candidates competing for roles on Nuro's more research-oriented teams.
How long does the visa sponsorship process take for an ML Engineer at Nuro?
For H-1B sponsorship, Nuro would file your petition in April for an October 1 start date, with USCIS adjudication taking several months under standard processing. Premium processing, which USCIS typically adjudicates within 15 business days, is available and commonly used by tech employers to reduce uncertainty. Green Card sponsorship through PERM adds a separate DOL process that currently runs well over a year before an I-140 can be filed.
See which ML Engineer at Nuro employers are hiring and sponsoring visas right now.
Search ML Engineer at Nuro Jobs