ML / AI Software Engineer - C++ Metrics Frameworks

Job Description As an AI/ML Engineer on the Metrics Frameworks team, part of the Simulation, Evaluation, and Data organization, you will be an individual contributor focused on developing and optimizing infrastructure to accelerate autonomous vehicle development, testing, and deployment by creating specialized analytics frameworks and tools. We are seeking experienced software engineers to build analytical frameworks and tools that empower internal users to construct quantitative analysis pipelines and develop metrics. These metrics will support and accelerate feature design, prioritization, and development, as well as evaluate the impact of recently released features. Our analytics framework equally supports road event monitoring, data mining and training, and simulation metrics. About the Organization The Simulation, Evaluation, and Data organization is dedicated to advancing the development of autonomous vehicles through cutting‑edge simulation technologies. The Metrics Frameworks team within this organization focuses on creating, maintaining, and evolving the analytics framework that supports GM’s goal of safe, high‑performing, and scalable driverless technology. The team delivers robust and scalable tools that facilitate data‑driven decision‑making throughout the AV feature development lifecycle. We collaborate closely with Simulation Evaluation, Embodied AI, and System and Test Engineering teams to enhance productivity across the organization by developing automation tools and shared libraries for all engineering teams. We are accountable for the performance, reliability, and scalability OKRs of the analytics framework. This includes, but is not limited to, developing customized analytics workflows, improving operational telemetry and dashboards to track relevant KPIs for prioritization, and identifying, designing, and implementing solutions to achieve key results. #GM-AV-1 Responsibilities Create tooling that can receive signals from various sources (Simulation, Road, etc) and allow users to easily build quantitative analysis pipelines to extract usable insights. Accelerate team’s effectiveness and efficiency by designing and implementing scalable automation tools for test creation, data collection and analysis, debugging, and performance monitoring. Design and implement extensible and well‑tested shared libraries that will be used by many engineers across the organization. Collaborate with other frameworks and data infra teams to build and deploy tools to improve productivity. Work closely with autonomous vehicle engineering to enable rapid development and model feedback. Maintain a high technical standard for code quality on the team, through architectural design and code reviews. Qualifications Experience developing scalable software solutions that will be used by many developers. Experience writing Python and C++ in a production environment (unit testing, code review, algorithm performance and tradeoffs, etc.). Experience developing automation scripts (Python and Bash scripts). BS in Computer Science, Electrical Engineering, Mechanical Engineering, or Aerospace Engineering. 5+ years of industry experience. Strong organizational and communication skills. Preferred Skills Experience with SQL and related tools/tech (Big Query, DuckDB, etc). Experience with time‑series data analysis and online performance monitoring tools. Experience building high performance framework / infrastructure and performance optimization in C++/Python. Familiarity with ROS, Pandas, Python bindings for C++, and plotting/visualization libraries. Familiarity with Data orchestration and transformation tools like AirTable, AirFlow, DBT, etc. Compensation The salary range for this role is $129,000 and $198,400. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. Work Location Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the Mountain View, San Francisco, Warren or Milford Technical Center three times per week, at minimum. GM does not provide immigration‑related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1‑B, OPT, STEM OPT, CPT, TN, J‑1, etc). 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. 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 View phone number on click.appcast.io. 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