General Motors
Senior ML/AI Software Engineer Evaluation Insights
General Motors, Sunnyvale, California, United States, 94087
Senior ML/AI Software Engineer
GM's autonomy stack generates far more numerical data than anyone can review manually. The Evaluation Insights team builds tools that turn this data into a single, trustworthy view of performanceaccelerating model iteration and improving vehicle safety. As a Senior ML/AI Software Engineer on the Sim Insights team, you will help stakeholdersfrom AV developers and system engineers to leadershipreach accurate, actionable conclusions about the autonomy stack's performance. You will apply your expertise in robotic systems, statistical analysis, and data visualization to engineer tools that answer a wide range of questions about AV stack performance. The Evaluation team is dedicated to creating, maintaining, and evolving the evaluation ecosystem that underpins GM's pursuit of safe, high-performing, and scalable driverless technology. The team delivers trusted metrics, automated workflows, and scalable tools that enable data-driven decision-making at every stage of AV development. Evaluation team members collaborate closely with Simulation, Motion, Perception, and Release teams, acting as system-level integrators and arbiters of end-to-end AV system quality. The organization's remit includes development of test scenario libraries, deployment of continuous evaluation pipelines, and ownership of critical risk assessment and release gating processes. The team treats road, data mining, training, and metrics as equal use cases for our analytics framework and evaluation goals. By joining this team, you will guide the evolution of core evaluation platforms and frameworks, champion the interpretation and communication of system-level results, and play a central role in accelerating GM's progress toward safe, validated AV deployment at scale. What You'll Do
Design and implement analysis algorithms that summarize, aggregate, and cluster metrics produced by simulations of the autonomy stack Build and maintain GM's primary autonomy evaluation dashboards and reports that provide clear, explainable insights to engineering and leadership, including trend analysis, drift detection, and scenario coverage. Leverage vision-language models (VLMs) and large language models (LLMs) to classify autonomy performance, mine critical scenarios, and prioritize validation efforts, integrating human-in-the-loop where appropriate. Maintain a high technical standard through architectural design, code reviews, and by following software-engineering best practices. Interface with cross-org partners to articulate requirements, resolve handoff issues, and share best practices. Your Skills & Abilities (Required Qualifications)
3+ years applied experience in data analysis, ML evaluation, or autonomy analytics, working with large-scale datasets and statistical methods. Proficiency with Pandas, NumPy, SciPy, and plotting/visualization libraries. Bachelor's or higher degree in Computer Science, Data Science, Mechanical or Aerospace Engineering, or equivalent practical experience. What Will Give You a Competitive Edge (Preferred Qualifications)
A strong understanding of how to visualize quantitative information effectively and transparently. The ability to decompose a multi-dimensional space into something consumable. Experience evaluating robotic systems, including sensor data (camera, lidar, radar) and time-series analysis. A strong curiosity to question anomalous data and root-cause discrepancies 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. 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. From day one, we're looking out for your well-beingat work and at homeso you can focus on realizing your ambitions. General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All 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, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. 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 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.
GM's autonomy stack generates far more numerical data than anyone can review manually. The Evaluation Insights team builds tools that turn this data into a single, trustworthy view of performanceaccelerating model iteration and improving vehicle safety. As a Senior ML/AI Software Engineer on the Sim Insights team, you will help stakeholdersfrom AV developers and system engineers to leadershipreach accurate, actionable conclusions about the autonomy stack's performance. You will apply your expertise in robotic systems, statistical analysis, and data visualization to engineer tools that answer a wide range of questions about AV stack performance. The Evaluation team is dedicated to creating, maintaining, and evolving the evaluation ecosystem that underpins GM's pursuit of safe, high-performing, and scalable driverless technology. The team delivers trusted metrics, automated workflows, and scalable tools that enable data-driven decision-making at every stage of AV development. Evaluation team members collaborate closely with Simulation, Motion, Perception, and Release teams, acting as system-level integrators and arbiters of end-to-end AV system quality. The organization's remit includes development of test scenario libraries, deployment of continuous evaluation pipelines, and ownership of critical risk assessment and release gating processes. The team treats road, data mining, training, and metrics as equal use cases for our analytics framework and evaluation goals. By joining this team, you will guide the evolution of core evaluation platforms and frameworks, champion the interpretation and communication of system-level results, and play a central role in accelerating GM's progress toward safe, validated AV deployment at scale. What You'll Do
Design and implement analysis algorithms that summarize, aggregate, and cluster metrics produced by simulations of the autonomy stack Build and maintain GM's primary autonomy evaluation dashboards and reports that provide clear, explainable insights to engineering and leadership, including trend analysis, drift detection, and scenario coverage. Leverage vision-language models (VLMs) and large language models (LLMs) to classify autonomy performance, mine critical scenarios, and prioritize validation efforts, integrating human-in-the-loop where appropriate. Maintain a high technical standard through architectural design, code reviews, and by following software-engineering best practices. Interface with cross-org partners to articulate requirements, resolve handoff issues, and share best practices. Your Skills & Abilities (Required Qualifications)
3+ years applied experience in data analysis, ML evaluation, or autonomy analytics, working with large-scale datasets and statistical methods. Proficiency with Pandas, NumPy, SciPy, and plotting/visualization libraries. Bachelor's or higher degree in Computer Science, Data Science, Mechanical or Aerospace Engineering, or equivalent practical experience. What Will Give You a Competitive Edge (Preferred Qualifications)
A strong understanding of how to visualize quantitative information effectively and transparently. The ability to decompose a multi-dimensional space into something consumable. Experience evaluating robotic systems, including sensor data (camera, lidar, radar) and time-series analysis. A strong curiosity to question anomalous data and root-cause discrepancies 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. 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. From day one, we're looking out for your well-beingat work and at homeso you can focus on realizing your ambitions. General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All 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, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. 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 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.