Cloud Data Engineer Jobs at Nuro with Visa Sponsorship
Nuro hires Cloud Data Engineers to build and scale the data infrastructure behind its autonomous vehicle platform. The company sponsors a range of work visas for this function, making it a realistic target if you're on F-1 OPT, H-1B, or another employer-sponsored status and want to work in applied robotics technology.
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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: 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 29+ Cloud Data Engineer at Nuro jobs
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Get Access To All JobsTips for Finding Cloud Data Engineer Jobs at Nuro Jobs
Tailor your portfolio to autonomous systems data
Nuro's Cloud Data Engineer roles support real-time sensor data pipelines and vehicle telemetry. Showcasing experience with streaming data platforms like Kafka or Pub/Sub, and cloud-native infrastructure on GCP or AWS, signals direct relevance before your resume reaches a recruiter.
Search open Cloud Data Engineer roles on Migrate Mate
Use Migrate Mate to filter Cloud Data Engineer openings at Nuro by visa type. This lets you surface roles actively open to your specific immigration status rather than applying broadly and discovering sponsorship limitations after an offer is extended.
Prepare for a technical assessment involving data infrastructure
Nuro's engineering interviews typically test distributed systems design, data modeling, and pipeline architecture. Preparing concrete examples from past roles, including handling large-scale telemetry or real-time processing, strengthens your performance at the offer stage.
Understand H-1B cap timing relative to your start date
If you need an H-1B and aren't currently in H-1B status, the annual cap applies with an October 1 start date. Factor the USCIS registration window and lottery outcome into your negotiation timeline so your offer terms align with your actual availability.
Request clarity on LCA wage levels during offer negotiation
Your employer files a Labor Condition Application with DOL certifying your offered wage meets the prevailing wage for the role and location. Understanding which wage level Nuro designates for Cloud Data Engineers helps you assess whether the offer is structured appropriately.
Cloud Data Engineer at Nuro jobs are hiring across the US. Find yours.
Find Cloud Data Engineer at Nuro JobsFrequently Asked Questions
Does Nuro sponsor H-1B visas for Cloud Data Engineers?
Yes, Nuro sponsors H-1B visas for Cloud Data Engineer roles. Cloud Data Engineering is a specialty occupation under USCIS criteria, which means the role requires at minimum a bachelor's degree in a directly related technical field. If you're subject to the H-1B cap, you'll need to go through the annual lottery before Nuro can file a full petition on your behalf.
Which visa types does Nuro commonly use for Cloud Data Engineer roles?
Nuro works with several visa categories for Cloud Data Engineers, including H-1B, H-1B1, F-1 OPT and CPT, TN, J-1, and employment-based Green Card pathways such as EB-2 and EB-3. F-1 students in STEM-eligible programs can often bridge into H-1B sponsorship using OPT and the STEM extension, giving up to three years of work authorization before a cap-subject petition is required.
How do I apply for Cloud Data Engineer jobs at Nuro?
You can browse and apply for Cloud Data Engineer positions at Nuro directly through Migrate Mate, which filters open roles by visa sponsorship type so you can confirm your status is supported before applying. Nuro's hiring process for engineering roles typically involves a recruiter screen, a technical assessment focused on data infrastructure and systems design, and a series of cross-functional interviews before an offer is extended.
What qualifications does Nuro expect for Cloud Data Engineer roles?
Nuro typically looks for a bachelor's or master's degree in Computer Science, Data Engineering, or a related field, combined with hands-on experience building scalable data pipelines and cloud-native infrastructure. Familiarity with real-time data processing, distributed systems, and cloud platforms like GCP or AWS is directly relevant given Nuro's autonomous vehicle data requirements. Experience working with large-scale sensor or telemetry data is a practical differentiator.
How do I plan my timeline if I need Nuro to file an H-1B petition?
USCIS opens H-1B cap registrations in March for an October 1 start date. If you're currently on F-1 OPT, confirm how much authorized time remains and whether your degree qualifies for the 24-month STEM extension. Starting conversations with Nuro's recruiting team in the fall or winter gives you enough runway to align an offer timeline with the registration window and avoid a gap in work authorization.
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