Software Engineer, ML Infrastructure Platform
Nuro
Mountain View, CA · Posted August 11, 2026
Just laid off? Start here: a plan for the first weeks
More in California job market · Software Engineer jobs in Mountain View, CA (52) · All Software Engineer jobs (2,099) · Data & Analytics jobs
More roles at Nuro
- Embedded Software Engineer · Mountain View, CA
- Software Engineer, Sensor Platform · Mountain View, CA
- Senior Commercial Counsel · Mountain View, CA
- Manager, Technical Program Manager, AI Platform · Mountain View, CA
- Senior Software Engineer, Devices Platform · Mountain View, CA
- Senior Manager, FP&A · Mountain View, CA
Similar jobs
- Software Engineer, ML Developer Experience · AnyScale · San Francisco, CA
- Member of Technical Staff - Post-Training · Reflection AI · San Francisco, CA
- Software Engineer, Embedded Linux · Chariot Defense · San Bruno, CA
- Software Engineer, Growth Data Platform · Omni · San Francisco, CA
- Staff Engineer, Full Stack (US, Canada, SF) · Short Story · San Francisco, CA
- Member of Technical Staff - Engineering Lead, Compute Platform · Reflection AI · San Francisco, CA
Where Mountain View, CA ranks
Where Mountain View, CA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best cities for AI-skill jobs45% · of 100
- #1Best cities for AI-skill jobs in the West Coast45% · of 71
- #1Best cities for mid-career professionals in the West Coast68% · of 71
- #1Best all-round cities for mid-career professionals in the West Coast85 / 100 · of 39
- #1Best all-round cities for AI careers in the West Coast96 / 100 · of 39
- #2Best cities for finance pay after cost of living$161k · of 35
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
Data & Analytics jobs · Top Data & Analytics employers · All rankings
Pay compared with the market
This listing does not state pay. Across 475 open software engineer listings that state pay, the middle half runs $159,500 to $238,500 and the median is $197,500.
Listed pay is what employers advertise, not what people are paid.
How AI is used in this kind of work
Among software developers, AI is already used for some of the tasks. Measured exposure for software developers: 29% (some).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
Say which you have and which you want to build. We use it to match you to jobs like this one.
About the job
Who We Are
Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides.
Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles.
With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected.
Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors
About the Role
Nuro takes a machine-learning-first approach to autonomous driving, and the ML Infrastructure team builds and operates the infrastructure that makes that possible. We own the systems that train the models at the core of the Nuro Driver™ - from distributed GPU training and closed-loop reinforcement learning, to the workflows, orchestration, observability, and cost management that keep the fleet running efficiently.
Our work sits directly on the critical path of autonomy development. When a training run stalls, when a pipeline silently regresses, or when GPU utilization slips, it shows up in how fast the rest of the company can ship. We care as much about reliability and operational maturity as we do about raw scale.
About the Work
• Contribute to Nuro’s training infrastructure, spanning multi-generation accelerators, and multi-cluster scheduling and orchestration.
• Design and operate large-scale data pipelines - batch and streaming ingestion, storage layout, and high-throughput data generation and storage.
• Design and develop agentic-first ML workflows - data-to-training-to-evaluation pipelines that are introspectable, reproducible, and easy for autonomy teams to run and extend.
• Own reliability for critical training and release pipelines: instrument them, define meaningful alerting, and build the on-call and incident-response practices that let the team catch regressions.
About You
• BS, MS, or PhD in Computer Science, Electrical Engineering, or a closely related field, plus 1+ years of relevant work experience.
• Willingness to deep-dive into implementation and to raise the technical and operational standards of the broader engineering organization.
• A demonstrated ownership mindset: you drive systems to operational maturity e.g. through monitoring, alerting, runbooks.
• Strong proficiency in Python (and comfort with C++, Go or a similar systems language).
• Hands-on experience running production infrastructure on Kubernetes.
• Solid distributed-systems fundamentals and the ability to reason about performance, failure modes, and reliability across a complex system.
Bonus Points
• Strong working knowledge of GCP.
• Experience with building large scale data generation pipelines.
• Experience with Kubernetes-native orchestration for ML workloads.
• Depth in GPU / distributed training internals, including NCCL and collective communication.
• Familiarity with GPU and training observability tooling and using it to diagnose real bottlenecks.
• A track record of driving down infrastructure cost while improving reliability.
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.