Sr Software Engineer, AV Sensor Observability

Sr Software Engineer, AV Sensor Observability Department: Engineering Team: Backend Location: Sunnyvale, United States Type: Full-Time **About the Role** We are looking for a Senior Software Engineer to focus on Sensor Reliability Engineering, owning the observability, alerting, and automation that ensures Uber’s in-vehicle sensor data collection systems operate reliably at scale. This role is centered on **maximizing sensor uptime, data yield, and supply hours** across a large, geographically distributed fleet. You will design systems that determine _when to react_ to issues impacting data recording capability, whether caused by failing sensors, degraded onboard computers, software regressions, or systemic environmental factors. As the technical owner for sensor reliability and observability, you will build the infrastructure that converts low-level signals into actionable intelligence and automated responses. This is a senior role requiring strong software engineering fundamentals, deep systems thinking, and the ability to drive cross-team technical direction without direct authority. \-\-\-\- What the Candidate Will Do ---- 01. **Architect Observability Systems:** Design and implement monitoring infrastructure for in-vehicle sensor packages and recording pipelines, covering signal ingestion, storage, and correlation. 02. **Build for Edge Constraints:** Develop systems that remain performant despite hardware diversity, intermittent connectivity, and rapid fleet scaling. 03. **Define Criticality Models:** Establish alerting strategies that distinguish transient anomalies from systemic issues impacting sensor uptime and data yield. 04. **Detect Complex Failure Modes:** Design detection logic for "silent" failures, such as sensor degradation, compute saturation, or recording pipeline stalls. 05. **Scale Through Automation:** Design automated detection, triage, and mitigation mechanisms to eliminate manual intervention as the fleet grows. 06. **Partner on Mitigation:** Collaborate with Operations and Engineering to build safe, automated responses to recurring hardware and software failure scenar