Senior AI Engineer – AI Catalyst at General Motors

Warren, Michigan, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Automotive, Manufacturing, TechnologyIndustries

Requirements

4+ years of experience in software engineering, ML engineering, or applied data science
Proven ability to translate business problems into technical AI solutions
Strong understanding of modern AI methods and their practical applications (LLMs, diffusion models, computer vision, predictive modeling, etc.)
Proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow)
Excellent communication and consulting skills; ability to influence and collaborate with cross-functional partners

Responsibilities

Partner with internal clients to understand their goals, challenges, and opportunities for AI adoption
Prototype end-to-end AI solutions — from model evaluation and integration to deployment-ready proofs of concept — addressing use cases such as robotic perception in manufacturing, generative workflows for vehicle design, or predictive analytics for demand and warranty forecasting
Evaluate and apply state-of-the-art AI technologies (e.g., generative AI, computer vision, predictive modeling) to solve real business problems
Collaborate cross-functionally with vehicle engineering, manufacturing, data, and IT teams to ensure successful implementation and knowledge transfer
Communicate complex AI concepts effectively to non-technical audiences, bridging the gap between technical innovation and business impact

Skills

Machine Learning

Prototyping

Generative AI

Predictive Modeling

Robotics

Data Science

Software Engineering

Python

Deployment

General Motors

Designs, manufactures, and sells vehicles

About General Motors

General Motors designs, manufactures, and sells vehicles and vehicle parts, catering to individual consumers, businesses, and government entities. The company operates in both traditional internal combustion engine vehicles and the growing electric vehicle (EV) market, generating revenue through vehicle sales and financing services. GM stands out from competitors with its commitment to community service, sustainability, and diversity, as evidenced by a majority female Board of Directors. The company's goal is to balance traditional automotive manufacturing with technological advancements in electric and autonomous vehicles.

Detroit, MichiganHeadquarters

1908Year Founded

$486.7MTotal Funding

IPOCompany Stage

Automotive & Transportation, Financial ServicesIndustries

10,001+Employees

Benefits

Paid Vacation

Paid Sick Leave

Paid Holidays

Parental Leave

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

401(k) Company Match

401(k) Retirement Plan

Tuition Reimbursement

Student Loan Assistance

Flexible Work Hours

Discount on GM vehicles

Risks

Shutting down Cruise Robotaxi may affect investor confidence in GM's AV strategy.

Chevrolet Equinox EV recall could harm GM's safety reputation.

Leadership transition in design may disrupt continuity and brand identity.

Differentiation

GM's Dynamic Fuel Management system enhances fuel efficiency in traditional vehicles.

GM leads in board diversity with 55% women directors.

GM's pivot to personal autonomous vehicles aligns with consumer trends.

Upsides

Partnership with Nvidia boosts GM's autonomous vehicle technology capabilities.

Collaboration with ChargePoint expands EV charging infrastructure, enhancing consumer appeal.

Bryan Nesbitt's appointment as design head may bring innovation to GM's vehicle design.

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