VLMs)

GM•Austin, TX

11d•Hybrid

About The Position

Workplace Classification: Hybrid : This role is categorized as hybrid. This means the candidate is expected to report to their primary work location three times per week, at minimum, or other frequency dictated by the business. The Team: You’ll join GM’s Vision and Automation Services (VAAS) group, where we’re building real-time AI applications that impact safety, quality, and productivity across global plants. This is your chance to work on high-impact solutions – from robotic vision systems to foundation models for industrial knowledge – that will define the next century of transportation. If you want a place that challenges you to bring your curiosity, enthusiasm, desire to learn, grow, and succeed every day, to build automotive solutions that are the benchmark for other automotive companies and suppliers, then this is the place for you. The Role: To achieve our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion, we are building a team of people who are passionate about creating safer, better, and more sustainable solutions. This bold vision won't happen overnight, but just as we transformed how the transportation in the last century, we are committed to transforming how we move today and in the future. Are you a hands-on AI expert who thrives at the edge of innovation? We’re looking for Technical Fellows to help shape the future of manufacturing by leading the design and deployment of cutting-edge AI systems – including computer vision, large language models (LLMs), and vision-language models (VLMs).

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 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 slides)
Very strong drive for continuous delivery of new and improved capabilities to production

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 explain ability.
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.

Benefits

GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate.

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