To achieve GM's vision of a world with Zero Crashes, Zero Emissions and Zero Congestion by building real-time AI applications that impact safety, quality, and productivity across global plants
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
- Experience in designing and implementing large scale AI solutions
- Strong hands on experience with at least one of the popular machine learning frameworks (PyTorch, Tensorflow, Keras, 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
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
Other
- Must be able to report to primary work location three times per week, at minimum
- Must not require GM immigration sponsorship now or in the future
- Must be eligible to participate in a company vehicle evaluation program
- Must purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies
- Excellent communication skills in presentation (both verbal and slides)
