Energy & Propulsion Systems Vehicle Health Management (VHM) Researcher

Job Description

Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Warren, MI three times per week, at minimum.

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.

We are seeking highly motivated and technically skilled candidates in the emerging technology area called Vehicle Health Management (VHM). Internet-of-Things builds many opportunities to improve the life quality of human beings. In the context of vehicle manufacturing, the vehicle engineering data collected through wireless communication (with customer consent) allow the prediction of vehicle system issues, and the notification of drivers before vehicle performance and, consequently, people’s busy life is impacted. With VHM technology, we integrate fundamental physics modeling with modern machine learning techniques such as Large Language Model, to develop diagnostics, prognostics, and system performance management solutions at scale.

GM has been leading the way of developing VHM technology to provide customers with an unprecedented level of assurance, convenience, and ownership experience. An example of VHM is the industry-first OnStar Proactive Alert for Starting System, a service GM launched a few years ago that provides early warning to customers in case a component failure is impending, thereby turning emergency repairs into scheduled maintenance events. This service is available on more than 10 million GM vehicles as of now!

What You’ll Do

With the growing demand of VHM, GM R&D invites top talent like you to develop this exciting industry leading technology! Join us if you want to work with a vibrant team to address challenges in cloud-based computing, predictive modeling, and AI/ML to advance VHM. We want researchers who have the passion to make positive impacts on people’s everyday life. Here are some other things to look forward to:

• 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

#LI-LP2

Additional Job Description

What You’ll Need (Required Qualifications)

• PhD in Electrical, Controls, Mechanical, Aerospace Engineering, or related field of study with demonstrated research capability or equivalent background

• Up to 3 years related industry experience

• Strong background in physics-based modeling for continuous and discrete systems, using first principles, system identification, parameter estimation, control and optimization

• Strong background in intelligent data modeling, using state-of-the-art AI/ML including LLM, signal processing, statistical inference

• Strong background in fault detection and isolation, diagnostics and prognostics, root cause analysis

• Demonstrated experience in large-scale data analytics

• Demonstrated 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

• This job may be eligible for relocation benefits

What Will Give You a Competitive Edge (Preferred Qualifications)

• PhD with 3-5 years 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, chassis systems, environmental sensors such as camera/radar/LIDAR, autonomous driving

• Hardware hands-on experience highly seeked, including but not limited to experience in dSpace rapid prototyping, ETAS tools

• Experience of project management

GM DOES NOT PROVIDE IMMIGRATION-REL