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
Build fleet-scale pipelines that turn noisy onboard signals into actionable, high-confidence investigations.
Develop automated triage and correlation systems that deduplicate issues,: route them to the right owning teams, and attach up-to-date priority signals and diagnostic context.
Partner with engineering teams and subject matter experts to turn: investigation outcomes into better instrumentation, automation, and signal quality over time.
Build internal tools and workflows that reduce duplicate effort and increase: situational awareness as the fleet scales (self-service debugging, standardized metrics, shared templates, securely scoped access).
Lead reliability investigations to identify contributing factors and ensure: learnings turn into durable engineering changes.
Experience writing and shipping software that runs in production, with an: ownership mindset and attention to how it behaves in real-world conditions.
What they're looking for
- Ability to build and maintain tools and automation that enable other: engineers: internal tools, instrumentation, and visualizations. (Python, Go, Bash, C++)
- Strong debugging fundamentals across the stack, including using system: signals and live troubleshooting to form hypotheses and identify contributing factors.
- Strong interest in reliability engineering as a growth path: you’re motivated by making complex systems understandable, resilient, and easier to run as they scale.
- Background in distributed systems or real-world deployed systems (vehicles, robotics, IoT, or similar).
