Battery Cell Systems Lead — Modeling & AI/ML

General Motors; Warren (MI); On-site; USD 140,000 - 210,000; Full time

Job summary

General Motors in Warren, MI seeks a Group Manager for Cell Systems Research & Modeling to lead strategy for cell characterization and physics-based modeling across materials, prototype cells, and production formats.

You will build a high-performing team, foster collaboration with R&D, engineering, and suppliers, and deliver actionable insights using AI/ML to accelerate program decisions. On-site required.

Qualifications

• PhD in Materials Science, Chemistry, Chemical Engineering, or a related technical field; equivalent relevant experience may be considered.
• 1-5+ years of relevant experience in battery cell characterization, electrochemistry, diagnostics, physics-based modeling, simulation, AI/ML-enabled analytics, or a combination of these areas.
• Demonstrated depth in at least one core discipline and the ability to influence across teams.

Responsibilities

• Set strategy, priorities, resource plans, and execution roadmap for cell characterization and modeling across materials, components, prototype cells, and production formats.
• Build and lead a high-performing multidisciplinary organization through hiring, coaching, development, feedback, performance, recognition, and succession planning.
• Lead cross-functional teams across characterization, modeling, cell design, materials, safety, manufacturing, engineering, and program organizations.

Skills

Cell characterization

Electrochemistry

AI/ML analytics

Physics-based modeling

Data science

Education

PhD in Materials Science, Chemistry, Chemical Engineering, or related field

Tools

Databricks

Job description

General Motors in Warren, MI seeks a Group Manager for Cell Systems Research & Modeling to lead strategy for cell characterization and physics-based modeling across materials, prototype cells, and production formats.

You will build a high-performing team, foster collaboration with R&D, engineering, and suppliers, and deliver actionable insights using AI/ML to accelerate program decisions. On-site required.