cover image
General Motors

ML/AI Software Engineer - C+ Metrics Frameworks

On site

San francisco, United states

Mid level

Full Time

27-01-2026

Share this job:

Skills

Communication Python Bash Data Analysis SQL Data Mining Monitoring Test Prioritization Decision-making Data collection Training Organization Pandas Analytics

Job Specifications

Job Description
Role: As a n 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 analytic frameworks and tools that empower internal users to construct quantitative analysis pipelines and develop metrics. These metrics 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 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. What You'll Do:
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 infrastructure 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 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 ($118,000 and $188,400). 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. 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. Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so 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

About the Company

General Motors' vision is to create a world with Zero Crashes, Zero Emissions and Zero Congestion, and we have committed ourselves to leading the way toward this future. Today, we are in the midst of a transportation revolution, and we have the ambition, the talent and the technology to realize the safer, better and more sustainable world we want. As an open, inclusive company, we're also creating an environment where everyone feels welcomed and valued for who they are. One team, where all ideas are considered and heard, whe... Know more