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General Motors · 2 months ago

Senior Researcher, Vehicle Health Management (VHM), Energy & Propulsion Systems

Warren, Michigan, United States of America

Full-time

Hybrid

Mid, Senior Level

3+ years exp

General Motors is redefining mobility through innovative technology and human-centered design. The Senior Researcher in Vehicle Health Management will focus on advancing vehicle and propulsion systems, utilizing modern machine learning techniques to enhance diagnostics and system performance management solutions.

AutomotiveElectric VehicleInformation ServicesManufacturingTransportation

No H1B

U.S. Citizen Only

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

Qualification

Physics-based modelingAI/ML techniquesFault detectionIsolationLarge-scale data analyticsPython programmingMATLAB/SimulinkProject managementCommunicationInterpersonal skills

Required

U.S. citizenship required pursuant to government contract

PhD in Electrical, Controls, Mechanical, Aerospace Engineering, or related field of study with demonstrated research capability or equivalent background or pursuing a PhD and has a Masters in related field

Candidates must have either a minimum of three (3) years of relevant industry experience or a Ph.D. degree with demonstrated research experience in a related discipline

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

Preferred

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