Software Reliability Engineer (Temporary FTE)

Nuro•Mountain View, CA

2h•$109,250 - $163,370•Onsite

About The Position

This is a 12-month temporary full-time position with full benefits and potential for extension based on performance and business needs. 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.

Requirements

Experience writing and shipping software with an ownership mindset and attention to how it behaves in real-world conditions.
Ability to build and maintain tools and automation (Python, Go, Bash, C++).
Comfortable navigating systems remotely via SSH + CLI, and inspecting the state of a linux system and its services.
Interest in reliability engineering as a growth path: you’re motivated to learn how to build distributed systems and the challenges of scaling them reliably.

Responsibilities

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.