about 3 hours 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 storage layout and high-throughput data generation and storage.
- Design and develop agentic-first machine-learning workflows covering data, training, and evaluation.
- Build introspectable, reproducible workflows that autonomy teams can run and extend.
- Own reliability for critical training and release pipelines through instrumentation, alerting, on-call practices, and incident response.
- Improve the operational maturity, reliability, performance, and cost efficiency of ML infrastructure.
Requirements
- Bachelor’s, master’s, or PhD in computer science, electrical engineering, or a closely related field.
- At least 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 the ability to reason about performance, failure modes, and reliability.
- Willingness to deep-dive into implementation and raise technical and operational standards.
- Demonstrated ownership of operational maturity through monitoring, alerting, and runbooks.
- Strong working knowledge of GCP is preferred.
- Experience building large-scale data-generation pipelines is preferred.
- Experience with Kubernetes-native orchestration for ML workloads is preferred.
- Depth in GPU and distributed-training internals, including NCCL and collective communication, is preferred.
- Familiarity with GPU and training observability tooling and diagnosing bottlenecks is preferred.
- Track record of reducing infrastructure cost while improving reliability is preferred.
Benefits
- Annual performance bonus, equity, and a competitive benefits package.
About Nuro
Nuro is a self-driving technology company on a mission to improve everyday life with autonomy. Founded in 2016, Nuro is the universal autonomy platform for the mobility ecosystem, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives automakers and mobility platforms a clear path to AVs at commercial scale—empowering a safer, richer, and more connected future.