Hybrid Reliability Engineer – Autonomous Vehicles

at General Motors

• Job title: Reliability Engineer – Autonomous Vehicles
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: $123,200 - $189,100 per year
• Degree requirement: Bachelor's Degree
• Tech skills: ETL, Jenkins, Python, SQL
• Location requirements: Hybrid, Sunnyvale, United States

About the role

• Reliability Engineer part of the core team ensuring safe and stable Autonomous Vehicle software releases. Collaborating across testing environments to improve reliability and data-driven insights.

Responsibilities

• Own the reliability triage framework for the AV software stack, defining how failures from simulation, CI, and on-road validation are detected, categorized, and escalated into actionable insights.
• Perform deep debugging and root-cause analysis across autonomy software, ML pipelines, and system integrations, connecting failure symptoms to clear solution paths and corrective actions.
• Design and evolve automated triage mechanisms and reliability taxonomies, improving regression detection, flakiness identification, and signal quality as the system and models evolve.
• Build and govern reliability data pipelines, providing continuous visibility into stability trends, recurrence patterns, and systemic risks that impact release readiness.
• Translate reliability findings into decision-grade communication, influencing prioritization, technical debt reduction, and release confidence in partnership with engineering, safety, and systems stakeholders.

Requirements

• Strong proficiency in Python and SQL for automation, analysis, and data pipelines
• Proven experience with CI/CD systems (GitHub Actions, Jenkins, GitLab, or equivalent)
• Hands-on experience implementing ETL/ELT pipelines for reliability, quality, or system health monitoring
• Solid understanding of reliability engineering concepts, including regression tracking, flakiness detection, and failure classification
• Strong analytical and cross-stack debugging skills in large-scale software systems
• Experience integrating simulation, HIL, or system-level test signals into automated analysis workflows
• Track record of effective cross-functional collaboration across engineering, QA, and platform teams
• Ability to operate autonomously in high-ambiguity, safety-critical environments
• Excellent communication skills for presenting data-driven reliability insights to engineering and technical leadership
• Bachelor’s, Master’s, or PhD in Computer Science, Electrical Engineering, Robotics, or a related field—or equivalent experience.

Benefits

• GM offers a variety of health and wellbeing benefit programs.
• Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.