Description

The Role  

You will be part of a core team that ensures safe, reliable, and scalable releases of the Autonomous Vehicle (AV) software stack through automation, data-driven reliability insights, and systematic validation processes. The mission is to accelerate the velocity and stability of AV releases by unifying software engineering, reliability analysis, and release automation under one cohesive framework. 

In this position, you will collaborate closely with Release Engineers, Systems Engineers, DevOps, and AI/ML teams to design and implement automated release validation pipelines, build metrics for release health and stability, and drive root-cause investigations of software and system issues impacting production readiness. 

If you are passionate about improving the safety, reliability, and velocity of ML-driven AV software releases through intelligent automation and systems thinking, we want to talk to you. 

What  You’ll Be Doing  

• Design and implement automated release pipelines  that integrate simulation, on-road, and CI/CD validation signals to assess software readiness. 

• Establish release reliability metrics and dashboards  to quantify build quality, regression trends, and confidence of software deployment. 

• Collaborate with AI/ML, Simulation, and Systems Engineering teams  to ensure robust and reproducible evaluation of release candidates. 

• Develop automated triage and failure analysis systems  to identify and categorize root causes of reliability or stability regressions. 

• Integrate data pipelines  for continuous monitoring of release health, including automated collection of test, simulation, and telemetry data. 

• Drive systematic improvements in release readiness criteria , defining measurable gates and pass/fail logic tied to product safety and reliability standards. 

• Develop frameworks for continuous release validation , ensuring each ML or software iteration is tracked, reproducible, and explainable. 

• Communicate insights and reliability findings  to developers, QA, and leadership to influence roadmap prioritization and technical debt mitigation. 

• Map reliability and automation processes  to the broader safety case framework, ensuring compliance with relevant standards and internal governance. 

 

What You Must Have  

• Strong proficiency in  Python  and  SQL . 

• Proven experience in  CI/CD systems  (e.g., GitHub Actions, Jenkins, GitLab, or equivalent). 

• Prior experience implementing  ELT/ETL pipelines  for quality monitoring, reliability, or release metrics. 

• Solid understanding of  system reliability concepts , including regression tracking, flakiness detection, and automated triage. 

• Strong analytical, debugging, and problem-solving skills across large-scale software systems. 

• Experience integrating  simulation or hardware-in-loop testing  into automated pipelines. 

• Track record of  cross-functional collaboration  across engineering, QA, and operations teams. 

• Ability to  learn quickly  and operate effectively in a dynamic, high-stakes environment. 

• Excellent communication skills for presenting data-driven insights to engineering and leadership stakeholders. 

• Bachelor’s, Master’s, or PhD in Computer Science, Electrical Engineering, Robotics, or a related field—or equivalent experience. 

Bonus Points!  

• Experience with  release governance frameworks  for ML or AV systems. 

• Familiarity with  reliability engineering methodologies  (MTBF, FMEA, reliability growth analysis). 

• Knowledge of  AV/ADAS software architectures  and simulation validation loops. 

• Experience building  metrics pipelines in cloud environments  (AWS, GCP, or Azure). 

• Familiarity with  data visualization and observability tools  (Grafana, Superset, Power BI, etc.). 

• Experience using  Jira, GitHub Projects, or equivalent tools  for release tracking and reliability triage. 

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.

Total Rewards | Benefits Overview

From day one, we're 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 Careers.Accommodations@GM.com or call us at 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.