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Uber

Senior Reliability Engineer - AV Labs

Discovered
Uber
Sunnyvale, CAexternalSoftware EngineeringPosted about 1 month ago (Jul 9, 2026)

About the Role

We are looking for a hardware focused Senior Reliability Engineer to focus on sensor and hardware system reliability, 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 You Will Do

Architect Observability Systems

Design and scale an observability platform capable of ingesting and analyzing real-time health telemetry from thousands of distributed vehicle nodes. •

Build for Edge Constraints

Develop systems that remain performant despite hardware diversity, intermittent connectivity, and rapid fleet scaling. •

Define Criticality Models

Establish alerting strategies that distinguish transient anomalies from systemic issues impacting sensor uptime and data yield. •

Detect Complex Failure Modes

Design detection logic for \"silent\" failures, such as sensor degradation, compute saturation, or recording pipeline stalls. •

Scale Through Automation

Design automated detection, triage, and mitigation mechanisms to eliminate manual intervention as the fleet grows. •

Partner on Mitigation

Collaborate with Operations and Engineering to build safe, automated responses to recurring hardware and software failure scenarios. •

Drive Operational Efficiency

Build technical interfaces to help Operations surface issues and Engineering diagnose and deploy mitigations rapidly (TTD/TTM). •

Lead Technical Strategy

Drive reliability-focused design reviews and translate operational pain points into concrete technical requirements and roadmaps. •

Uncover Proactive Insights

Apply advanced data analytics to identify latent patterns in fleet telemetry, enabling the proactive detection of systemic regressions and hardware degradation before they impact operations.

Basic Qualifications

5+ years of relevant industry experience

in software engineering, site reliability, or systems engineering •

Distributed Systems

Experience with modern observability platforms (e.g., Prometheus, Grafana, ELK) in edge, IoT, or hardware-integrated environments. •

Language Proficiency

coding skills in one or more of

Go, Python, or C++

, with experience building and operating production systems. •

Systems Expertise

Proficiency in

Linux internals

and shell scripting for triaging and debugging edge devices or hardware-adjacent systems. •

Engineering Fundamentals

Ability to debug across services, containers (Docker), and networking stacks. •

Reliability Experience

Proven track record owning reliability, infrastructure, or platform systems for large-scale production workloads. •

Observability Tooling

Experience designing and operating observability systems (metrics, logging, alerting, and dashboards). •

Metrics-Driven

Experience defining and implementing

SLIs and SLOs

for system availability or data yield. •

Networking Knowledge

Deep understanding of networking protocols (TCP/IP, gRPC, or MQTT) and data handling in bandwidth-constrained environments. •

Leadership

Experience driving complex technical projects and architectural reviews across multiple teams from design through production.

Preferred Qualifications

• Experience with modern observability platforms (e.g., Prometheus, Grafana, ELK) in edge, IoT, or hardware-integrated environments. • Knowledge of sensor data protocols (e.g., Camera, LiDAR, Radar) or hardware-to-cloud data ingestion pipelines. • Experience with \"Grey Failure\" detection and management in complex, distributed systems. • Proven track record in 'Fleet Health' for large-scale hardware deployments (e.g., cloud infrastructure, global server fleets, or industrial IoT) where automation was used to replace manual intervention. ~~ ~~ For Sunnyvale, CA-based roles: The base salary range for this role is USD $180,000 per year - USD $200,000 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.

Ready to Ride?

This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves - we'd love to hear from you. You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits. Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements. Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

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This role was discovered from a public careers page. Applications are handled by the hiring team at Uber.

Attribution: sourced from Uber's public The Muse board.

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