Job Description
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
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Job Tags
Full time, Local area, Work from home, Flexible hours