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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # ML / AI Software Engineer - C++ Metrics Frameworks - **Company:** General Motors - **Location:** San Francisco, CA, United States - **Experience:** Expert - **Salary:** $129,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Data Analysis, Unit Testing, Bash Shell, BigQuery, C++ (Programming Language), Software Quality, Code Review, Data Mining, Software Debugging, Python (Programming Language), Performance Tuning, SQL Databases, Robot Operating System, Pandas, Build Management, Information Technology, Performance Monitor, Data Management, Data Pipelines, Airtable - **Published:** June 3, 2026 - **Apply:** https://dejobs.org/x/x/DB8CC892626648A2AC156DF3DEA59BCC/job/ ## About the Role * 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 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 ## Description Role: 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., * 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., 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. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [How Machine Learning is turning the Automotive Industry upside down](https://www.wearedevelopers.com/videos/61-how-machine-learning-is-turning-the-automotive-industry-upside-down) - [The Vonage Trivia Voyage: Quiz Your Way to the Top!](https://www.wearedevelopers.com/videos/761-the-vonage-trivia-voyage-quiz-your-way-to-the-top) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [Techies vs. Suits: Decoding the Distinct Paths to Startup Success in Europe and the US](https://www.wearedevelopers.com/videos/826-techies-vs-suits-decoding-the-distinct-paths-to-startup-success-in-europe-and-the-us) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [How software is steering vehicle technology](https://www.wearedevelopers.com/magazine/515-how-software-is-steering-vehicle-technology) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Got AI ideas but no money? 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