GM's Vision and Automation Services (VAAS) group is building real-time AI applications to improve safety, quality, and productivity in global plants, aiming to define the next century of transportation with high-impact solutions like robotic vision systems and foundation models for industrial knowledge.
Requirements
- 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
Responsibilities
- Sets the org-wide bar for engineering excellence and quality.
- Challenges assumptions and drives high-impact technical decisions.
- Owns outcomes across programs and platforms, including risk, quality, and long-term maintainability.
- 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).
- Defines and enforces org-wide standards and best practices (testing, CI/CD, MLOps/data governance).
Other
- 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.
- 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.
- Experience leading high-impact, cross-company initiatives
- Excellent communication skills in presentation (both verbal and slides)
- Very strong drive for continuous delivery of new and improved capabilities to production
