Jobs via Dice
Overview
Role: As a 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. You will build analytical frameworks and tools that empower internal users to construct quantitative analysis pipelines and develop metrics to support and accelerate feature design, prioritization, and development, as well as evaluate the impact of recently released features. The analytics framework supports road event monitoring, data mining and training, and simulation metrics. About the Organization: The Simulation, Evaluation, and Data organization advances autonomous vehicles through simulation technologies. The Metrics Frameworks team creates, maintains, and evolves analytics infrastructure that supports GM's safe, high-performing, scalable driverless technology. We collaborate with Simulation Evaluation, Embodied AI, and System and Test Engineering teams to enhance productivity by developing automation tools and shared libraries. We are accountable for the performance, reliability, and scalability OKRs of the analytics framework, including developing workflows, improving telemetry and dashboards, and implementing solutions to achieve key results. What You'll Do
Create tooling that can receive signals from various sources (Simulation, Road, etc.) and enable users to build quantitative analysis pipelines to extract usable insights. Accelerate team effectiveness by designing and implementing scalable automation tools for test creation, data collection and analysis, debugging, and performance monitoring. Design and implement extensible, well-tested shared libraries used by engineers across the organization. Collaborate with other frameworks and data infra teams to build and deploy tools that improve productivity. Work closely with autonomous vehicle engineering to enable rapid development and model feedback. Maintain a high technical standard for code quality through architectural design and code reviews. Your Skills & Abilities
Experience developing scalable software solutions used by many developers Experience writing Python and C++ in production environments (unit testing, code review, algorithm performance and tradeoffs) Experience developing automation scripts (Python and Bash) 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 (BigQuery, 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 to $188,400. The actual base salary offered will vary based on factors relevant to the position. Work Arrangement
Hybrid: This role is categorized as hybrid. 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. 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 each day presents an opportunity to drive meaningful change through our words, deeds, and culture. We want every employee to feel they belong to one General Motors team. Benefits Overview
From day one, we support your well-being at work and at home. Learn how GM supports a rewarding career by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to a workplace free of unlawful discrimination and to fostering inclusion and belonging. 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, veteran status, or any other protected status in accordance with laws. Applicants may be required to complete role-related assessments or pre-employment screening. To learn more, visit How we Hire. Accommodations
GM offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application, please email us or call us with a description of the accommodation requested and the job title and requisition number. Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries
Software Development #J-18808-Ljbffr
Role: As a 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. You will build analytical frameworks and tools that empower internal users to construct quantitative analysis pipelines and develop metrics to support and accelerate feature design, prioritization, and development, as well as evaluate the impact of recently released features. The analytics framework supports road event monitoring, data mining and training, and simulation metrics. About the Organization: The Simulation, Evaluation, and Data organization advances autonomous vehicles through simulation technologies. The Metrics Frameworks team creates, maintains, and evolves analytics infrastructure that supports GM's safe, high-performing, scalable driverless technology. We collaborate with Simulation Evaluation, Embodied AI, and System and Test Engineering teams to enhance productivity by developing automation tools and shared libraries. We are accountable for the performance, reliability, and scalability OKRs of the analytics framework, including developing workflows, improving telemetry and dashboards, and implementing solutions to achieve key results. What You'll Do
Create tooling that can receive signals from various sources (Simulation, Road, etc.) and enable users to build quantitative analysis pipelines to extract usable insights. Accelerate team effectiveness by designing and implementing scalable automation tools for test creation, data collection and analysis, debugging, and performance monitoring. Design and implement extensible, well-tested shared libraries used by engineers across the organization. Collaborate with other frameworks and data infra teams to build and deploy tools that improve productivity. Work closely with autonomous vehicle engineering to enable rapid development and model feedback. Maintain a high technical standard for code quality through architectural design and code reviews. Your Skills & Abilities
Experience developing scalable software solutions used by many developers Experience writing Python and C++ in production environments (unit testing, code review, algorithm performance and tradeoffs) Experience developing automation scripts (Python and Bash) 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 (BigQuery, 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 to $188,400. The actual base salary offered will vary based on factors relevant to the position. Work Arrangement
Hybrid: This role is categorized as hybrid. 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. 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 each day presents an opportunity to drive meaningful change through our words, deeds, and culture. We want every employee to feel they belong to one General Motors team. Benefits Overview
From day one, we support your well-being at work and at home. Learn how GM supports a rewarding career by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to a workplace free of unlawful discrimination and to fostering inclusion and belonging. 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, veteran status, or any other protected status in accordance with laws. Applicants may be required to complete role-related assessments or pre-employment screening. To learn more, visit How we Hire. Accommodations
GM offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application, please email us or call us with a description of the accommodation requested and the job title and requisition number. Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries
Software Development #J-18808-Ljbffr