Senior Software Engineer, ML Infrastructure Platform

Posted Yesterday
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Mountain View, CA, USA
In-Office
194K-291K Annually
Senior level
Artificial Intelligence • Automotive • Information Technology • Robotics
The Role
Build and operate large-scale ML training infrastructure: distributed GPU training, multi-cluster scheduling, data pipelines (batch & streaming), ML workflows, observability, alerting, and on-call/incident response to ensure reliable, cost-effective model training and releases.
Summary Generated by Built In

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 3+ 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 $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.

Skills Required

  • BS, MS, or PhD in Computer Science, Electrical Engineering, or a closely related field plus 3+ years relevant experience
  • Strong proficiency in Python
  • Comfort with C++, Go, or a similar systems language
  • Hands-on experience running production infrastructure on Kubernetes
  • Solid distributed-systems fundamentals and ability to reason about performance, failure modes, and reliability
  • Demonstrated ownership mindset; drive systems to operational maturity (monitoring, alerting, runbooks, on-call)
  • Willingness to deep-dive into implementation and raise technical and operational standards
  • Strong working knowledge of GCP
  • Experience 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 diagnosing bottlenecks
  • Track record of reducing infrastructure cost while improving reliability
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The Company
HQ: Mountain View, CA
908 Employees
Year Founded: 2016

What We Do

We're on a mission to better everyday life through robotics. Our custom electric autonomous vehicles are designed to bring the things you need—from produce to prescriptions—right to your home. Nuro’s autonomous delivery can give you valuable time back and more freedom to do what you love. This convenient, eco-friendly, safe alternative to driving can make streets safer and cities more livable. Nuro has brought autonomous delivery to local communities in Texas, Arizona, and California—for less driving and more thriving.

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