Descrição
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. 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.
Why GM Battery R&D?
At GM, your work won’t sit on a shelf – you’ll see it power real vehicles on the road. You’ll 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:
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Work alongside globally recognized experts across battery materials, modeling, and systems engineering
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Tackle open-ended, high-impact problems spanning electrochemistry, thermal science, mechanics, data science, and AI
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Leverage cutting-edge experimental facilities, advanced instrumentation, and high-performance computing
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Use state-of-the-art AI/ML and scientific modeling tools to generate new insights
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Be supported to publish and present original research in leading journals and top conferences
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Collaborate with battery suppliers, tier 1 research universities, national labs, and DOE/NSF-funded programs
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See your research directly implemented in GM EVs at a global scale
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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. You’ll build physics-informed, data-driven, and hybrid models – while defining new modeling approaches that push the boundaries of battery science and AI.
What You’ll Do
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Develop and deploy advanced AI/ML models, including physics-informed and hybrid approaches, to predict battery performance, aging, and degradation
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Build and refine Multiphysics models that couple electrochemical, thermal, and mechanical behavior
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Identify and develop novel modeling approaches for next-generation battery chemistries and systems
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Turn complex experimental and simulation datasets into actionable insights using Python-based scientific computing and ML frameworks
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Partner with engineering teams to translate research into production, integrating models into battery management systems (BMS) and product workflows
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Publish and present your work through peer-reviewed journals, conferences, and technical forums
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Drive technical direction through deep problem solving, collaboration, and influence across disciplines
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Contribute to intellectual property and patents for new algorithms and modeling innovations
Your Skills & Abilities (Required Qualifications)
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Master’s or Ph.D. in Electrical Engineering, Physics, Computer Science, Materials Science, Chemical Engineering, or related field with a focus on AI/ML
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Proven experience developing AI/ML models, ideally applied to batteries, electrochemical systems, or Multiphysics domains
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Strong Python proficiency (required) with experience in ML/scientific libraries (e.g., PyTorch, TensorFlow, NumPy, SciPy)
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Strong analytical skills with the ability to extract insight from complex datasets
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Demonstrated research experience (e.g., publications, technical reports, or conference presentations)
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Ability to clearly communicate complex technical concepts to diverse audiences
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Strong collaboration and problem-solving skills, with the ability to influence across teams
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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)
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Experience with physics-informed or hybrid modeling approaches
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Background in battery degradation, aging, or lifetime modeling
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Familiarity with battery management systems (BMS) or system-level integration
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Experience with large-scale datasets or high-performance computing environments
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Contributions to patents, intellectual property, or external research collaborations
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Experimental experience with measurements of battery material/electrochemical properties
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
Esta função é classificada como híbrida. Isso significa que o candidato selecionado deverá trabalhar no escritório/fábrica da GM pelo menos 3 vezes por semana {ou outra frequência ditada por seu gerente}.
Esta posição pode ser elegível para benefícios de relocação.
Informações sobre diversidade
A General Motors está comprometida em ser um local de trabalho que não só é livre de discriminação ilegal, como estimula verdadeiramente a inclusão e integração. Acreditamos enfaticamente que a diversidade na força de trabalho cria um ambiente no qual nossos colaboradores podem crescer e desenvolver melhores produtos para nossos clientes. Incentivamos os candidatos interessados a analisar as principais responsabilidades e qualificações de cada função e a se candidatar a qualquer cargo que corresponda a suas habilidades e capacidades. Os candidatos no processo de recrutamento podem, quando aplicável, ser solicitados a concluir com sucesso uma ou mais avaliações relacionadas à função e/ou uma seleção pré-emprego antes de iniciar o emprego. Para saber mais, acesse Como contratamos.
Declaração de Igualdade de Oportunidades de Emprego (EUA)
A General Motors tem orgulho de ser um empregador que oferece oportunidades iguais. Todos os candidatos qualificados serão considerados para o emprego, independentemente de raça, cor, religião, sexo, orientação sexual, identidade de gênero, origem nacional, deficiência ou status como veterano protegido.
Adaptações (EUA e Canadá)
A General Motors oferece oportunidades a todos os candidatos a emprego, incluindo pessoas com deficiências. Se você precisa de uma adaptação razoável para ajudá-lo na sua pesquisa de cargos ou solicitação de emprego, fale conosco pelo e-mail [email protected] ou pelo telefone 800-865-7580. No seu e-mail, inclua uma descrição da adaptação específica que você está solicitando assim como o nome do cargo e o número de requisição do cargo ao qual está se candidatando.
