Senior Researcher, AIML Battery Modeler

Job Description

Senior Researcher AI/ML Battery Modeler

Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the Research Administration Building at our Global Technical Center in Warren MI three times per week at minimum.

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. Were turning todays impossible into tomorrows 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.

Why GM Battery R&D

At GM your work wont sit on a shelf youll see it power real vehicles on the road. Youll move ideas from theory model product working at the intersection of fundamental science advanced modeling and real-world impact. Our Research team offers the opportunity to:

• Work alongside globally recognized experts across battery materials modeling and systems engineering

• Tackle open-ended high-impact problems spanning electrochemistry thermal science mechanics data science and AI

• Leverage cutting-edge experimental facilities advanced instrumentation and high-performance computing

• Use state-of-the-art AI/ML and scientific modeling tools to generate new insights

• Be supported to publish and present original research in leading journals and top conferences

• Collaborate with battery suppliers tier 1 research universities national labs and DOE/NSF-funded programs

• See your research directly implemented in GM EVs at a global scale

• Grow across technical leadership and research career paths in a deeply technical environment

The Role
As a Senior Researcher you will shape the future of electric mobility by developing next-generation battery models using advanced AI/ML techniques. Youll build physics-informed data-driven and hybrid models while defining new modeling approaches that push the boundaries of battery science and AI.

What Youll Do

• Develop and deploy advanced AI/ML models including physics-informed and hybrid approaches to predict battery performance aging and degradation

• Build and refine Multiphysics models that couple electrochemical thermal and mechanical behavior

• Identify and develop novel modeling approaches for next-generation battery chemistries and systems

• Turn complex experimental and simulation datasets into actionable insights using Python-based scientific computing and ML frameworks

• Partner with engineering teams to translate research into production integrating models into battery management systems (BMS) and product workflows

• Publish and present your work through peer-reviewed journals conferences and technical forums

• Drive technical direction through deep problem solving collaboration and influence across disciplines

• Contribute to intellectual property and patents for new algorithms and modeling innovations

Your Skills & Abilities (Required Qualifications)

• Masters or Ph.D. in Electrical Engineering Physics Computer Science Materials Science Chemical Engineering or related field with a focus on AI/ML

• Proven experience developing AI/ML models ideally applied to batteries electrochemical systems or Multiphysics domains

• Strong Python proficiency (required) with experience in ML/scientific libraries (e.g. PyTorch TensorFlow NumPy SciPy)

• Strong analytical skills with the ability to extract insight from complex datasets

• Demonstrated research experience (e.g. publications technical reports or conference presentations)

• Ability to clearly communicate complex technical concepts to diverse audiences

• Strong collaboration and problem-solving skills with the ability to influence across teams

• Commitment to continuous learning and advancing the state of the art in AI/ML and battery technology

What will give you a competitive edge (Preferred Qualifications)

• Experience with physics-informed or hybrid modeling approaches

• Background in battery degradation aging or lifetime modeling

• Familiarity with battery management systems (BMS) or system-level integration

• Experience with large-scale datasets or high-performance computing environments

• Contributions to patents intellectual property or external research collaborations

• Experimental experience with measurements of battery material/electrochemical properties

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 were looking out for your well-beingat work and at homeso 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

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