Description
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. The Role: Energy and Propulsion Systems research is aimed at driving propulsion and vehicle efficiency, cost, and performance improvements. Research also focuses on advancing vehicle and propulsion systems to target enterprise cost reduction through warranty improvement and engineering development efficiency. Key technical areas: Develop and execute Aero CFD simulations to analyze and optimize vehicle aerodynamic performance. Develop passive and active aerodynamic technologies to improve aero performance Collaborate with cross-functional teams in design, engineering, and data science to deliver aerodynamic solutions. Conduct post-processing and visualization of simulation data to extract actionable insights. Support the development of digital twins and simulation-guided design frameworks. Integrate AI/ML techniques to accelerate simulation workflows and enable predictive modeling. Develop and execute Multi-Disciplinary Optimization and Design Integration (Aero/Thermal) – leveraging cross-functional approaches to enhance system-level efficiency and performance Optimize vehicle thermal systems architecture for electric, hybrid and conventional (ICE) vehicles. Investigate electric, hybrid and ICE vehicle propulsion systems and their interactions with the thermal systems - propulsion system cooling and heating requirements. Propose innovations in the refrigeration cycle and its applications to vehicle thermal systems Optimize passenger cabin modes of operation (heating/cooling/airflow) Balance the impact of size of front-end cooling (radiator/ condenser) on thermal capacity and impact on aero (Drag). Successful candidates will bring multi-physics expertise alongside cutting-edge optimization and AI techniques. You are inquisitive, driven, and an excellent collaborator and communicator. You have a strong passion for applied research and extensive knowledge in advanced propulsion systems, energy, electrical, thermal, and mechanical analysis, and physics-aided optimization techniques, including the latest in artificial intelligence / machine learning (AI/ML) approaches. You will identify, develop, and implement research and technology with disruptive value to GM in the key areas identified above. What You’ll Do: The role requires covering a wide-ranging, diverse set of topics aimed at improving propulsion and vehicle system efficiency, cost, and quality. This includes the need for significant exploration and research in: Physics-guided optimization to develop multi-functional designs to achieve robust integration and drive out cost Support development of research strategy and technology roadmaps Supervise prototype implementation activities in benches and vehicles Scout and evaluate innovative technologies for the specified research areas Effectively communicate results and progress in written and oral form Document results of individual and team efforts for internal and external publications or patents Procure and manage any required external contractor support What You’ll Need (Required Qualifications): U.S. Citizenship PhD in Electrical, Controls, Mechanical, Aerospace Engineering, or a related field, with demonstrated research experience; or a Master’s degree with ongoing PhD studies in a relevant discipline. 0–3 years of relevant industry experience Strong theoretical foundation and practical experience in aero/thermal system optimization, and propulsion systems integration Deep understanding of vehicle aerodynamics, including drag reduction, downforce, and flow control. Experience in design optimization workflows using CFD and ML (PowerFLOW and STAR-CCM+) Experience with AI/ML frameworks like Navasto, Neural Concept, Nvidia DoMINO, and techniques such as regression, classification, and deep learning. Strong foundation in physics-based modeling for continuous and discrete systems using first principles Experience with multi-disciplinary optimization techniques (model-based and data-driven) Strong interpersonal skills and ability to collaborate across team This job may be eligible for relocation benefits What Will Give You a Competitive Edge (Preferred Qualifications): PhD with 3-5 years of industry experience Experience in application of advanced research and technology to the following automotive systems: internal combustion propulsion, high voltage battery, electromechanical actuators, power electronics, electrical systems Hardware hands-on experience highly recommended, including but not limited to experience in dSpace rapid prototyping, ETAS tools #LI-JK1
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.)
This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.
The selected candidate will be required to travel
