Senior Engineer – Virtualization, AI &ML

Job Description

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.

Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.

The Role

The Senior Engineer – Virtualization, AI &ML will lead advanced initiatives applying machine learning, artificial intelligence, and data analytics to EV battery design, simulation, and performance optimization. This role will focus on predictive modeling, intelligent automation, and virtual validation to accelerate battery development for next-generation electric vehicles. The lead virtual engineer will collaborate across engineering disciplines to integrate AI-driven solutions into battery CAE workflows, enabling smarter, faster, and more sustainable energy storage systems.

What You'll Do

• Develop and deploy AI/ML and Generative AI methodologies for EV battery design, thermal management, and lifecycle prediction.
• Create data-driven models for battery performance, degradation, and safety under diverse operating conditions.
• Implement optimization algorithms for cell and pack architecture, balancing energy density, cost, and durability.
• Explore emerging technologies such as reinforcement learning and graph-based models for advanced battery system modelling and analysis.
• Accelerate simulation workflows for electrochemical, thermal, and structural analysis using AI-driven surrogate models.
• Perform test-to-model correlation leveraging advanced analytics to validate virtual predictions against physical testing.
• Communicate insights through interactive dashboards and visualization tools for stakeholders.
• Contribute to benchmarking activities for AI/ML tools and virtual engineering technologies in battery systems.

Your Skills & Abilities (Required Qualifications)

• MS or PhD in Electrical Engineering, Mechanical Engineering, Computer Science, Applied Mathematics, or related STEM field.
• Strong foundation in machine learning, data analytics, and optimization techniques.
• Proficiency in programming languages such as Python, C++, and experience with AI frameworks (TensorFlow, PyTorch).
• Proven experience with AI/ML and Generative AI frameworks in system design or simulation.
• Ability to bridge research and practical implementation in complex engineering environments.
• Prior research publications or patents in AI-driven engineering solutions.
• Excellent analytical, problem-solving, and communication skills.
• Strong organizational and leadership skills

What Will Give You a Competitive Edge (Preferred Qualifications)

• Familiarity with EV battery design principles, electrochemical modeling, and CAE workflows.
• Experience with MATLAB/Simulink and integration of AI workflows into simulation environments.
• Track record of delivering enterprise-grade virtual engineering tools

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}. This job may be eligible for relocation benefits.

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 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. 

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

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.