AI-Centric Release & Automation Software Engineer

Software and Services Group AI-Centric Release & Automation Software Engineer 위치 Milford, Michigan Sunnyvale, California Warren, Michigan (+) Show all locations (-) Hide all locations 일정 Full time 게시됨 3 04 2026 Job Requisition

JR-202519774

설명 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. 다양성 정보 General Motors는 법적으로 금지된 차별을 배제하는 것은 물론 포용성과 소속감을 진정으로 장려하는 직장이 되기 위해 노력하고 있습니다. 당사는 다양성이 보장되는 환경에서 직원들이 역량을 발휘하고 우리 고객을 위한 더 좋은 제품을 개발할 수 있다고 믿습니다. 따라서 입사에 관심 있는 사람이 있다면 포지션별 주요 업무와 자격을 확인하고 본인이 보유한 기술과 능력에 부합하는 모든 포지션에 적극적으로 지원하기를 장려합니다. 지원자는 채용 과정에서 역할 관련 평가(해당하는 경우) 및/또는 채용 전 스크리닝을 통과해야 합니다. 자세한 정보는 GM 채용 과정 안내 를 참고하십시오. 공평한 취업 기회 선언 (미국) General Motors는 공평한 기회를 제공하는 고용주임을 자부합니다. 자격을 만족하는 지원자는 인종과 피부색, 성별, 성적 지향, 성별 정체성, 국적, 장애, 재향 군인 보호법 적용 여부와 상관없이 채용 후보로서 심사를 받습니다. 숙소 (미국 및 캐나다) General Motors는 장애인을 포함한 모든 구직자들에게 취업 기회를 제공합니다. 구직이나 취업 지원에 도움이 되는 합리적인 숙소가 필요한 경우 Careers.

Accommodations@GM.com 으로 이메일을 보내시거나 800-865-7580으로 전화주십시오. 이메일에, 귀하가 요청하는 특정한 숙소에 대한 설명과 귀하가 지원하는 직무와 채용 요청서 번호를 포함해주세요. 지금 신청하세요 구하다 저장됨 [Open sharing options] [Share] 관련 작업 구하다 저장됨 Sunnyvale, California plus 1 location AI Platform Evaluation Software Engineer - Autonomous Vehicles 구하다 저장됨 Milford, Michigan plus 1 location Senior Software Engineer 구하다 저장됨 Sunnyvale, California Staff ML Validation Applied Scientist Team