Software Reliability Engineer

Who We Are

Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, 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 the automakers and mobility platforms a clear path to AVs at commercial scale, empowering a safer, richer, and more connected future.

About the Team The Robotics Reliability Engineering (RRE) team at Nuro focuses on fleet reliability as our AV capabilities and operating footprint grow. We work across software, hardware, infrastructure, and operations to understand fleet behavior and improve operational readiness. When high-severity events impact missions or fleet-wide performance, RRE coordinates investigations and ensures that lessons learned result in durable platform improvements.

About the Role

As a Software Reliability Engineer at Nuro, you will help design, build, and operate systems that support our autonomous vehicle platform and fleet operations.

You will work across the full development lifecycle, from early design and deployment through operations and continuous improvement. You’ll join an on-call rotation to stay close to real-world operations. At its core, the role is building resilient systems through automation, observability, and operational feedback.

This is an opportunity to influence how reliability is engineered into Nuro’s platform as it scales up and out across new cities.

About the Work

• 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.

About You

• Experience writing and shipping software that runs in production, with an ownership mindset and attention to how it behaves in real-world conditions.
• 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 liv