2 months ago
Base Salary
$194k - $291k/yr
Responsibilities
- Contribute to training infrastructure spanning multiple generations of accelerators and multi-cluster scheduling and orchestration.
- Design and operate large-scale batch and streaming data pipelines, including ingestion, storage layout, high-throughput data generation, and storage.
- Design and develop agentic-first ML workflows covering data, training, and evaluation pipelines.
- Own reliability for critical training and release pipelines through instrumentation, alerting, on-call practices, and incident response.
- Improve the reliability, operational maturity, scalability, and cost efficiency of ML infrastructure.
Requirements
- BS, MS, or PhD in Computer Science, Electrical Engineering, or a closely related field.
- 3+ years of relevant work experience.
- 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 ability to reason about performance, failure modes, and reliability across complex systems.
- Willingness to deep-dive into implementation and raise technical and operational standards.
- Demonstrated ownership of systems through monitoring, alerting, runbooks, and operational maturity.
- Strong working knowledge of GCP is a bonus.
- Experience building large-scale data generation pipelines is a bonus.
- Experience with Kubernetes-native orchestration for ML workloads is a bonus.
- Depth in GPU and distributed-training internals, including NCCL and collective communication, is a bonus.
- Familiarity with GPU and training observability tooling is a bonus.
- Track record of reducing infrastructure cost while improving reliability is a bonus.
Benefits
- Annual performance bonus, equity, and a competitive benefits package.
Categories
About Nuro
Nuro builds the Nuro Driver, a Level 4 self-driving platform for robotaxis, commercial fleets, and personally owned vehicles. It licenses its autonomy software and integrates it with automotive-grade hardware for automakers and mobility platforms. Founded in 2016 and headquartered in Mountain View, California, Nuro is privately held and has operated real-world self-driving deployments.