Job Description
The Role You will be part of a core reliability team responsible for ensuring safe, stable, and scalable Autonomous Vehicle (AV) software releases by turning failures into actionable insight at scale. The mission of this role is to improve learning velocity from failures, reduce reliability escapes, and increase confidence in production readiness through intelligent triage, deep debugging, and data-driven analysis.
This role is reliability-first. Release automation, CI/CD, and validation infrastructure are tools-not the goal. You will work across simulation, CI, and on-road environments to ensure failures are correctly understood, consistently categorized, and rapidly connected to the right solution space.
You will collaborate closely with AI/ML engineers, Systems Engineering, Test Platform owners, Release Engineers, and Safety stakeholders to ensure reliability signals meaningfully influence engineering priorities and release decisions.
If you are passionate about reliability engineering, failure analysis, and building systems that help organizations learn faster from complex ML-driven software, we want to talk to you.
What You'll Be Doing
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.
What You Must Have
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.
Bonus Points
Experience with reliability governance in ML-based or AV systems
Familiarity with reliability methodologies (FMEA, reliability growth analysis, MTBF trends)
Knowledge of AV / ADAS software architectures and simulation-to-road validation loops
Experience building reliability or analytics pipelines in cloud environments (AWS, GCP, Azure)
Familiarity with observability and visualization tools (Grafana, Superset, Power BI, etc.)
Experience using Jira, GitHub Projects, or similar tools for reliability tracking and triage workflows
Compensation The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
The salary range for this role: is $123,200 to $189,100. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
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.
About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Benefits Overview From day one, were looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment.
To learn more, visit How we Hire.
Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.