Reliability Engineer (Autonomous Vehicles)
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Job Location:
Sunnyvale, CA - USA
Monthly Salary:
$ 123200 - 189100
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
Job Description
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 toolsnot 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 Youll 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
Bachelors Masters or PhD in Computer Science Electrical Engineering Robotics or a related fieldor 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 $123200 to $189100. 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
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Benefits Overview
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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.
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Required Experience:
IC
Key Skills
- Kubernetes
- FMEA
- Continuous Improvement
- Elasticsearch
- Go
- Root cause Analysis
- Maximo
- CMMS
- Maintenance
- Mechanical Engineering
- Manufacturing
- Troubleshooting
About Company
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