The opportunity
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…
What you'll do
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.
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.
What they're looking for
- 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.
