Jobs via Dice
Senior Software Systems Engineer, Release Reliability & Automation (Autonomous V
Jobs via Dice, Sunnyvale, California, United States, 94087
Senior Software Systems Engineer, Release Reliability & Automation (Autonomous Vehicles)
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. What youll 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 fieldor 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, Google Cloud Platform, 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 dayindividually and collectivelyto 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?beingat work and at homeso 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 . 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. #J-18808-Ljbffr
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. What youll 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 fieldor 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, Google Cloud Platform, 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 dayindividually and collectivelyto 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?beingat work and at homeso 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 . 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. #J-18808-Ljbffr