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Reliability Engineer (Autonomous Vehicles)

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General Motors

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Location:
United States , Sunnyvale, California ▼

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

123200.00 - 189100.00 USD / Year
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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.

Job Responsibility:

  • 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

Nice to have:

  • 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
What we offer:
  • 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

Additional Information:

Job Posted:
February 18, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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