- Robot type
- Autonomous Vehicle
- Location
- SunnyvaleCaliforniaUSA
- Job type
- Software
- Posted
- Aug 30, 2026
- Salary
- $209,700–$266,800 a year
Full-time
Site Reliability Engineer, Vehicle Software
Job description
Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.
Job responsibilities
- Build and improve tooling, automation, observability, and incident-management processes for vehicle software reliability.
- Work closely with field engineers, software teams, and operations to diagnose reliability issues and improve system performance.
- Own hands-on debugging across Linux, low-level systems, logs, metrics, traces, and vehicle and production data.
- Develop reliability improvements that reduce manual intervention and make issue detection, triage, and recovery faster.
- Support vehicle-centric operations, including safety-operator tools and the reliability needs of our customer and partner programs.
Job requirements
- You will write production-quality code every day in Python, C++, or Rust. This is a software engineering role as much as a reliability role, and coding is central to the work.
- Comfortable debugging at the Linux and systems level, reading logs, tracing failures, and finding root cause in complex environments.
- Experience with CI/CD, containerization, networking, distributed systems, databases, and observability and incident-management tooling, including DataDog, Prometheus, Grafana, OpenTelemetry, Splunk, or Humio.
- Experience diagnosing complex production or operational systems, not just escalating, but seeing problems through to resolution.
- The communication skills to work effectively across engineering, operations, and field teams, and the judgment to know when to bring others in.
- Based in Sunnyvale and able to be onsite at least three days a week to work alongside the field teams you will support.
- Experience with autonomous vehicles, robotics, embedded systems, or safety-critical environments. We know this is rare, and it is not a barrier to applying.
- Experience with large-scale telemetry or high-volume data pipelines.
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