Technical Fellow - AI (Computer Vision, LLMs, VLMs)

Job Description

Work Environment :

This position can be performed remotely or in a hybrid setting. If you reside within 50 miles of our primary locations in Austin, TX; Mountain View, CA; or Warren, MI, you are expected to work onsite a minimum of 3 days per week. Those living outside this radius may work remotely.

The Team :

Join GM's Vision and Automation Services (VAAS) group to innovate real-time AI applications that enhance safety, quality, and productivity in our global plants. Here, you will have the opportunity to work on groundbreaking solutions ranging from robotic vision systems to foundational models that will shape the future of transportation.

If you thrive in an environment that encourages curiosity, enthusiasm, and a continuous desire for learning, this is the place for you to elevate automotive solutions to the industry's highest benchmarks.

The Role :

Our mission is to create a world with Zero Crashes, Zero Emissions, and Zero Congestion. This ambitious goal can’t be achieved overnight, but just as we revolutionized transportation in the last century, we are committed to ongoing transformation in modern mobility.

Are you a hands-on AI expert at the forefront of innovation? We are seeking Technical Fellows to lead the design and implementation of advanced AI systems in computer vision, large language models (LLMs), and vision-language models (VLMs).

What You'll Do (Responsibilities) :

Set the organization-wide standard for engineering excellence and quality.

Challenge assumptions and spearhead high-impact technical decisions.

Lead cross-functional collaboration among software, data, hardware, safety, and security teams.

Own outcomes across programs and platforms, including risks, quality, and long-term maintainability.

Scale your expertise through mentorship, playbooks, and knowledge-sharing initiatives.

Provide authoritative guidance on AI / ML architecture, evaluation, robustness, and explainability.

Deliver innovative platform solutions with measurable value for our business and customers.

Define the technical strategy and architecture; establish critical and non-functional requirements.

Direct complex design reviews and trade studies; document decisions through Architecture Decision Records (ADRs).

Balance system requirements across performance, safety, reliability, cost, and compliance.

Establish and enforce organizational standards and best practices in testing, CI / CD, MLOps, and data governance.

Act as a force multiplier by mentoring senior staff, elevating the hiring standards, and leading critical postmortems.

Your Skills & Abilities (Required Qualifications) :

PhD in a relevant STEM discipline or equivalent research experience with a proven publication track record.

15+ years of experience in research and design of Computer Vision / VLM / LLM solutions focused on Machine Vision, including 10+ years of hands-on technical or scientific leadership.

Expertise in designing and implementing large-scale AI solutions.

Experience leading extensive AI / ML development projects from concept to multiple production releases.

Strong hands-on experience with at least one popular machine learning framework (PyTorch, TensorFlow, Keras, etc.) and familiarity with programming languages (C++, Python, Java, etc.).

Familiarity with various open-source machine / computer vision libraries (OpenCV, PIL, etc.).

Knowledge of OpenGL and OpenCL.

In-depth experience with MLOps and / or VLM / LLMOps.

Experience in cloud-based development and integration (Azure, AWS, Google Cloud).

Track record of leading high-impact, cross-company initiatives.

Strong communication skills for effective presentations (both verbal and slides).

A desire for continuous delivery of new and improved capabilities.

Compensation :

Our compensation range is $234,000 - $358,500, influenced by factors relevant to the position. Candidates may also be eligible for a performance-based bonus program.

Benefits :

GM provides various health and wellbeing benefits including medical, dental, vision, retirement savings plans, and more. Additionally, upon successful vehicle report review, you may be eligible for a company vehicle evaluation program, requiring participation in purchasing or leasing a qualifying GM vehicle every four years.

GM does not offer immigration-related sponsorship for this position, so do not apply if you will need sponsorship now or in the future.

About GM :

We envision a world free of crashes, emissions, and congestion. We embrace our responsibility to lead by example, fostering a safer and more equitable environment for all.

Why Join Us :

We are devoted to creating a diverse workplace where every employee feels a sense of belonging. At GM, we pursue meaningful change through our culture and actions, shaping a better future collaboratively.

Equal Opportunity Employer :

GM is committed to fostering an inclusive atmosphere, firmly believing that diversity propels innovation and product excellence.

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