VLMs) at General Motors

Austin, Texas, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Automotive, ManufacturingIndustries

Requirements

PhD in a relevant field or related discipline (STEM focused), or equivalent research experience with a proven track record of publications in reputed journals and conferences
15+ years’ experience in research and design of Computer Vision / VLM / LLM solutions with significant focus on Machine Vision, with at least 10 of those years in a hands-on technical or scientific leadership position
Experience in designing and implementing large scale AI solutions
Experience in leading large-scale AI/ML development projects from concept to multiple releases in production
Strong hands-on experience with at least one of the popular machine learning frameworks (PyTorch, Tensorflow, Keras, etc.), and familiarity with programming languages (C++, Python, Java, etc.)
Familiarity with multiple open-source machine/computer vision libraries (OpenCV, PIL, etc.)
Familiarity with OpenGL and OpenCL
In-depth experience with Ops, MLOps, and/or VLM/LLMOps
Familiarity in cloud-based development and integration (Azure, AWS, Google Cloud)
Experience leading high-impact, cross-company initiatives
Established track record of excellence in relevant research areas
Excellent communication skills in presentation (both verbal and written)

Responsibilities

Sets the org-wide bar for engineering excellence and quality
Challenges assumptions and drives high-impact technical decisions
Leads cross-functional alignment across software, data, hardware, safety, and security
Owns outcomes across programs and platforms, including risk, quality, and long-term maintainability
Scales expertise through mentorship, playbooks, and knowledge sharing
Provides authoritative AI/ML leadership on architecture design, evaluation, robustness, and explainability
Delivers invention and platform solutions with measurable business and customer value
Owns end-to-end technical strategy and architecture; defines critical requirements and Non-Functional Requirements (NFRs)
Directs complex design reviews and trade studies; records decisions through Architecture Decision Record (ADRs)
Balances system requirements across performance, safety, reliability, cost, and compliance
Defines and enforces org-wide standards and best practices (testing, CI/CD, MLOps/data governance)
Acts as a force multiplier: mentors senior/staff, raises the hiring bar, and leads critical postmortems

Skills

Computer Vision

LLMs

VLMs

Robotic Vision

Foundation Models

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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