Cloud Engineer Jobs at Nuro with Visa Sponsorship
Nuro hires Cloud Engineers to build and scale the infrastructure behind its autonomous vehicle platform, with roles spanning multi-cloud architecture, infrastructure-as-code, and reliability engineering. The company has a consistent record of sponsoring work visas for engineering talent, making it a realistic target if you need sponsorship.
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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: 5+ 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 $193,930 and $291,150 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: 5+ 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 $193,930 and $291,150 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.
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Get Access To All JobsTips for Finding Cloud Engineer Jobs at Nuro Jobs
Align your cloud certifications to Nuro's stack
Nuro's infrastructure runs on large-scale cloud environments supporting autonomous systems. AWS, GCP, or Azure certifications that emphasize reliability engineering and containerization signal direct relevance and strengthen your petition's specialty occupation case.
Search Nuro's open Cloud Engineer roles on Migrate Mate
Filter by visa type and role on Migrate Mate to identify active Cloud Engineer openings at Nuro that match your authorization. Applying to roles already tagged for your visa type avoids wasting time on positions the employer won't sponsor.
Request premium processing during offer negotiation
When you receive an offer, ask HR whether they'll file with USCIS premium processing. For H-1B transfers or cap-exempt filings, this compresses adjudication to 15 business days, which matters if your current status has a tight expiration window.
Document your infrastructure experience with specificity
Cloud Engineer petitions require evidence of specialty occupation. Prepare detailed project documentation showing systems you designed, scale you managed, and technologies you used. Vague resume bullet points create RFE risk during USCIS adjudication.
Understand how Nuro's LCA filing affects your offer timeline
Your employer must file a certified Labor Condition Application with DOL before submitting your H-1B petition. That process typically takes seven to ten business days. Build this into your expected start date when negotiating with the recruiting team.
Cloud Engineer at Nuro jobs are hiring across the US. Find yours.
Find Cloud Engineer at Nuro JobsFrequently Asked Questions
Does Nuro sponsor H-1B visas for Cloud Engineers?
Yes, Nuro sponsors H-1B visas for Cloud Engineer roles. The company has an established sponsorship process for engineering positions, which means their HR and legal teams are familiar with the H-1B petition requirements. If you're subject to the annual cap lottery, timing your application for a role that starts October 1 is the standard path forward.
Which visa types does Nuro commonly sponsor for Cloud Engineer roles?
Nuro sponsors a range of visa categories for Cloud Engineers, including H-1B, H-1B1, TN, F-1 OPT, F-1 CPT, J-1, and Green Card pathways under EB-2 and EB-3. Canadian and Mexican nationals in qualifying engineering roles may find TN sponsorship a faster option since it has no cap or lottery. F-1 OPT holders in STEM fields can use their 24-month extension to gain U.S. work experience before transitioning.
What qualifications does Nuro expect for Cloud Engineer positions?
Nuro's Cloud Engineer roles typically require a bachelor's degree or higher in computer science, computer engineering, or a closely related field, which also satisfies the USCIS specialty occupation standard for H-1B purposes. Hands-on experience with infrastructure-as-code tools, Kubernetes, and multi-cloud environments is commonly emphasized. Roles supporting autonomous vehicle systems may also expect familiarity with high-availability architecture and real-time data pipelines.
How do I apply for Cloud Engineer jobs at Nuro?
You can browse active Cloud Engineer openings at Nuro filtered by visa type on Migrate Mate, which surfaces roles from employers with a verified sponsorship history. Once you identify a match, apply through Nuro's careers portal and reference your visa status early in the recruiter conversation to avoid late-stage surprises. Having your most recent I-94, degree credentials, and any prior visa documentation ready speeds up the employer's internal process.
How long does the sponsorship process take for a Cloud Engineer starting at Nuro?
Timeline depends on your visa category. An H-1B transfer from another employer can take 15 business days with USCIS premium processing, while a new cap-subject H-1B requires waiting for an October 1 start date following the April lottery. TN processing for Canadians can happen at the port of entry on the same day. Your employer's DOL Labor Condition Application certification adds roughly seven to ten business days before any H-1B petition can be filed.
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