Propulsion Researcher
General Motors
Warren, MI0–3 yrs4h agovia LinkedIn
This job at a glance
- Who can apply
- New grads and up to 3 years
- Must know
- Machine learningDeep learningStatistics
- Work
- On-site in Warren
- Pay
- Not stated by the employer.
- Skill demand
- Statistics14%Machine learning9%Deep learning5%of 99 similar entry-level jobs posted in the US this week
- Listed
- Oct 30, 2026 · still open
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About the Role
Individual Contributor
This role is categorized as hybrid, requiring the selected candidate to report to a specific location at least 3 times a week. This job may be eligible for relocation benefits.
Key Responsibilities
- Generate innovative ideas, suggest new project areas, and establish technical plans.
- Conduct research and/or experiments to collect required data and validate research ideas.
- Write timely and high-quality research reports, external publications, and records of invention.
- Maintain up-to-date knowledge of industry and technical developments.
- Establish relationships and develop partners with divisional staffs to meet project objectives.
- Observe and ensure support personnel proper safety practices and ensure personal protective equipment is in working order.
- Communicate laboratory hazards appropriately.
- Execute technical and special assignments.
- Assist lab management in identifying mega-trends in technology and business strategies in the automotive sector.
- Contribute responses to threats and opportunities.
- Represent GM effectively to the external technical and business communities.
- Participate in technical discussions and reviews as an expert in your field.
- Grow and diversify personal skills and competency base.
- Consistently demonstrate innovative thinking and strong partnership.
Requirements & Tech Stack
- U.S. Person Status: This position is subject to export control regulations and requires the candidate to be a U.S. Person (U.S. citizen, U.S. permanent resident, asylee, or refugee).
- Technical Expertise:
- Strong foundation in vehicle propulsion systems, including architectures for hybrid, plug-in hybrid, electric, and conventional vehicle powertrains.
- Strong background in physics‑based modeling of continuous and discrete systems using first‑principles approaches.
- Proficiency in vehicle energy analysis, including assessment of sub-component or sub-system impact on vehicle efficiency, losses, and vehicle fuel economy and range.
- Familiarity with vehicle test procedures and standard drive cycles used for vehicle fuel economy/range and performance assessment.
- Knowledge of power transfer mechanisms commonly used in propulsion systems, including electrically variable transmissions, step gear and automatic transmissions, final drives, etc.
- Knowledge of propulsion components, including engines, electric motors, and batteries and their impact on the propulsion system.
- Familiarity with the use of any 1D modeling tool for vehicle energy assessment.
- Hands-on experience with common prototyping software (e.g. dSPACE) and lab/dyno experience related to propulsion components or vehicle testing.
- Experience with design optimization workflows using CFD and CAE methods.
- Working knowledge of AI/ML frameworks and methods, including regression, classification, deep learning, use of digital twins, reinforcement learning.
- Experience with multi‑disciplinary optimization (model‑based and data‑driven).
- Professional Skills:
- Strong interpersonal skills with the ability to collaborate effectively across diverse teams.
- Demonstrated ability to innovate and operate effectively in environments with ambiguity or evolving requirements.
- Self-motivated, proactive, and capable of driving independent work.
- Strong verbal and written communication skills.
- In-depth knowledge of the state-of-the-art research in specialized areas.
Qualifications
- Education:
- Ph.D. in Mechanical Engineering, Electrical or Controls Engineering, or a related discipline with demonstrated research experience.
- OR Master’s degree in a relevant field with ongoing Ph.D. studies.
- Experience: 0–3 years of relevant industry or research experience.