ML / AI Software Engineer - C++ Metrics Frameworks

Job description

Job Description Role: As a n AI/ML Engineer on the Metrics Frameworks team, part of the Sim ulation, 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 ana lytics frameworks and tools. We are seeking experienced software engineers to build ana lytical frameworks and tools that empower internal users to construct quantitative ana lysis 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 ana lytics framework equally supports road event monitoring, data mining and training, and sim ulation 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 What You’ll Do: Create tooling that can receive signals from various sources ( Sim ulation, Road, etc ) and allow users to easily build quantitative ana lysis pipelines to extract usable insights. Accelerate team’s effectiveness and efficiency by designing and implementing scalable automation tools for test creation, data collection and ana lysis, 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 i nfra 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. Your Skills & Abilities: 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 What Will Give You A Competitive Edge: Experience with SQL and related tools/tech (Big Query, DuckDB , etc ) Experience with time-series data ana lysis 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. 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. This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}. 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. 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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 1-800-865-7580. 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.