Drimva

General Motors

Group Manager - Cell Systems Research & Modeling

Warren, Michigan, United States of America · On-site · Manager · Full-time · Posted Sep 8, 2026

Experience
15+ years of relevant technical experience; 10+ years leading people, teams, programs, or cross-functional research efforts.
Education
PhD in Materials Science, Chemistry, Chemical Engineering, or a related technical field; equivalent relevant experience may be considered.

About the job

Leads cell systems research and modeling, turning characterization data and battery science into predictive insights for technology evaluation, design, supplier, and program decisions.

What you'll do

  • Set strategy and lead characterization, electrochemical and other cell modeling, and AI/ML-enabled analysis across battery materials and cell formats.
  • Build and manage a multidisciplinary team, including hiring, coaching, performance management, and talent development.
  • Lead cross-functional collaboration and establish rigorous practices for model validation, uncertainty assessment, data curation, and responsible AI/ML use.

What they ask for

  • PhD in Materials Science, Chemistry, Chemical Engineering, or a related technical field; equivalent relevant experience may be considered.
  • 15+ years of relevant experience in battery cell characterization, electrochemistry, diagnostics, physics-based modeling, simulation, AI/ML-enabled analytics, or a combination.
  • 10+ years leading people, highly technical teams, major technical programs, or cross-functional research efforts, including talent development and performance responsibility.
  • Experience leading matrixed cross-functional teams and translating research into engineering, product, supplier, or program decisions.

Nice to have

  • Experience developing and validating cell-level electrochemical, thermal, mechanical, transport, or degradation models.
  • Experience applying AI/ML to diagnostics, prediction, experiment prioritization, uncertainty quantification, or automated decision support.

Tools

Databricks, AI/ML

AI focus

Applies AI/ML to experiments and analysis, diagnostics, prediction, experiment prioritization, uncertainty assessment, and decision support; establishes responsible AI/ML practices.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)