Senior Engineer – Virtualization, AI & ML
General Motors
full-time
Posted on:
Location Type: Hybrid
Location: Warren • Missouri • United States
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Job Level
Tech Stack
About the role
- 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.
Requirements
- 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.
Benefits
- From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AI/ML methodologiesGenerative AIdata-driven modelsoptimization algorithmsreinforcement learninggraph-based modelssimulation workflowstest-to-model correlationmachine learningdata analytics
Soft skills
analytical skillsproblem-solving skillscommunication skillsorganizational skillsleadership skills
Certifications
MS in Electrical EngineeringMS in Mechanical EngineeringMS in Computer ScienceMS in Applied MathematicsPhD in Electrical EngineeringPhD in Mechanical EngineeringPhD in Computer SciencePhD in Applied Mathematics