Researcher, Vehicle Health Management (VHM), Energy and Propulsion Systems

GM•Warren, MI

16d•Hybrid

About The Position

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. We are looking for highly motivated, technically exceptional candidates to join our team in the fast-growing field of Vehicle Health Management (VHM). This is an exciting opportunity to work at the intersection of connected vehicles, data science, physics-based modeling, and advanced AI to create technologies that make vehicle ownership more convenient, and more seamless for millions of customers. In this role, you will help transform vehicle engineering data—collected through wireless communication with customer consent—into actionable insights that can predict system issues before they affect vehicle performance or disrupt everyday life. Our VHM work combines fundamental physics-based understanding with modern machine learning approaches, including large language models, to deliver scalable diagnostics, prognostics, and system performance management solutions. GM is a leader in this space. One example is the industry-first OnStar Proactive Alert for Starting System, which warns customers of a potential component failure before it becomes an emergency, turning unplanned repairs into scheduled maintenance. Today, this service is available on more than 10 million GM vehicles. Joining this team means contributing to technologies already making a real-world impact at scale. What makes this role especially exciting is the chance to work with a collaborative, forward-looking team tackling challenges in cloud computing, predictive modeling, and AI/ML to advance Vehicle Health Management. We are looking for researchers who are energized by technical innovation and motivated by the ability to translate their work into meaningful improvements in people’s everyday lives.

Requirements

PhD in Electrical, Controls, Mechanical, Aerospace Engineering, or related field of study with demonstrated research capability or equivalent background, or Pursuing PhD in related fields
Strong background in physics-based modeling for continuous and discrete systems, using first principles, system identification, parameter estimation, control and optimization
Background in intelligent data modeling, using state-of-the-art AI/ML including LLM, signal processing, statistical inference
Background in fault detection and isolation, diagnostics and prognostics, root cause analysis
Experience in Python (including familiarity with ML frameworks such as PyTorch or Tensorflow), PySpark, MATLAB/Simulink
Excellent verbal and written communication skills
Excellent interpersonal skills to work effectively with GM internal and external partners

Nice To Haves

Industry experience in related areas
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, chassis systems, environmental sensors such as camera/radar/LIDAR, autonomous driving
Experience in large-scale data analytics
Hardware hands-on experience highly sought, including but not limited to experience in dSpace rapid prototyping, ETAS tools
Experience of project management

Responsibilities

Generate innovative ideas and establish new research areas
Generate intellectual property, document results, and publish high quality papers
Develop next-generation technologies for vehicle system diagnosis, prognosis, and fault-tolerant controls as well as integration
Develop and execute technical plans, including concept generation, prototype development, system implementation, and performance evaluation
Lead technical discussions and reviews as an expert in this field internally and externally
Maintain state-of-the-art technical expertise in related areas of responsibility
Collaborate with cross-functional global teams and world-class universities