ML / AI Software Engineer - C++ Metrics Frameworks
Confirmed on the employer's own hiring board on Oct 22, 2026. First seen by Alion on Sep 30, 2026. General Motors scores A on the Alion truth index.
Job Description
Role: As an AI/ML Engineer on the Metrics Frameworksteam, part of the Simulation, Evaluation, and Data organization, you will be an individual contributor focused on developing and optimizinginfrastructure 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-edgesimulation technologies. The Metrics Frameworksteam 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 facilitatedata-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’llDo:
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.
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 performanceand 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 ACompetitive 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 ($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.
Benefits Overview
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