ERS Cell Modeling & Deep Learning Intern

Job Title: ERS Cell Modeling and Deep Learning Intern Location: Concord, NC Company:  GM Performance Power Units (GM PPU) Drive the Future of Formula 1 with GM PPU! GM Performance Power Units is seeking an upper-level undergraduate intern to support development of Python tools incorporating cell equivalent circuit models (ECMs) and deep learning methods. This role targets upper-level students who bridge mechanical or chemical engineering with data or computer science and want hands-on experience applying deep learning to battery related problems. Key Responsibilities: • Help build and maintain simple Python scripts and notebooks for cell data processing and analysis. • Use PyTorch to set up, train, and evaluate straightforward neural network models under guidance from senior engineers. • Assist with organizing test and simulation datasets and generating clear plots and summaries for the engineering team. • Other duties as assigned Qualifications: • Upper-level student in Mechanical Engineering, Chemical Engineering, Computer Science, Data Science, or a similar field. • Completed at least one 300/3000 level (or higher) Deep Learning, Machine Learning, or Neural Networks course, with some hands on PyTorch experience. • Solid Python skills and interest in batteries, electrochemistry, or energy storage applications. • Good communication skills and a collaborative, learning oriented mindset. Desirable Skills: • Familiarity with version control systems (e.g., GitHub) for version control and collaborative design workflows. • Hands-on experience, preferably for two years or more, in Formula SAE, Baja SAE, Formula Student, or a similar competitive student engineering program. Personal Attributes: • Strong, hands-on engineering mindset with a bias toward building, testing, and iterating rather than only modeling on paper. • Curiosity and enthusiasm for learning at the intersection of electrochemistry, data science, and software. • Able to work independently on well-scoped tasks while asking timely questions when blocked. • Comfortable collaborating with multidisciplinary teammates and incorporating feedback into your work. • Organized, detail oriented, and committed to clear documentation and high-quality results. Drive the Future of Motorsport with GM PPU! At GM PPU, we’re not just building power units — we’re shaping the future of Formula 1 technology. Our culture of collaboration fuels creativity and innovation, empowering you to make a real impact on the track. Every idea counts, every breakthrough matters, and every team member contributes to our competitive edge. If you’re passionate about revolutionizing electric motor technology and ready to help us push the limits of performance, this is your chance to join a high-energy, cutting-edge team on a mission to dominate the grid. Your journey to F1 starts here! Apply today and become part of something extraordinary. GM Performance Power Units and all affiliated companies are Equal Opportunity employer(s). Minorities, women, veterans, and individuals with disabilities are encouraged to apply. For more information regarding the EEOC, please visit https://www.eeoc.gov/employers/upload/poster_screen_reader_optimized.pdf. Only direct hires need apply to or inquire about job postings at GM Performance Power Units. We are not accepting calls, resumes or applications from recruiting firms at this time.

Qualifications

• Upper-level student in Mechanical Engineering, Chemical Engineering, Computer Science, Data Science, or a similar field

• Completed at least one 300/3000 level (or higher) Deep Learning, Machine Learning, or Neural Networks course, with some hands on PyTorch experience

• Solid Python skills and interest in batteries, electrochemistry, or energy storage applications

• Good communication skills and a collaborative, learning oriented mindset

• Familiarity with version control systems (e.g., GitHub) for version control and collaborative design workflows

• Hands-on experience, preferably for two years or more, in Formula SAE, Baja SAE, Formula Student, or a similar competitive student engineering program

• Strong, hands-on engineering mindset with a bias toward building, testing, and iterating rather than only modeling on paper

• Curiosity and enthusiasm for learning at the intersection of electrochemistry, data science, and software

• Able to work independently on well-scoped tasks while asking timely questions when blocked

• Comfortable collaborating with multidisciplinary teammates and incorporating feedback into your work

• Organized, detail oriented, and committed to clear documentation and high-quality results

Responsibilities

• GM Performance Power Units is seeking an upper-level undergraduate intern to support development of Python tools incorporating cell equivalent circuit models (ECMs) and deep learning methods

• This role targets upper-level students who bridge mechanical or chemical engineering with data or computer science and want hands-on experience applying deep learning to battery related problems

• Help build and maintain simple Python scripts and notebooks for cell data processing and analysis

• Use PyTorch to set up, train, and evaluate straightforward neural network models under guidance from senior engineers

• Assist with organizing test and simulation datasets and generating clear plots and summaries for the engineering team

• Other duties as assigned