Job Description
At Nuro, your base pay is one part of your total compensation package.
Key Responsibilities
- 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.
Requirements
- 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.
Ready to Apply?
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