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.
