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
Lead design and deployment of cutting-edge AI systems including computer vision, LLMs, and VLMs for manufacturing applications
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
At least 10 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.)
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
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE (no H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)
Benefits
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
Eligibility for company vehicle evaluation program (assignment of a General Motors vehicle; program participants are required to purchase/lease a qualifying GM vehicle every four years unless exceptions apply)
Incentive pay program (bonus potential based on company performance, job level, and individual performance)
This job may be eligible for relocation benefits
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AI leadershipMachine LearningComputer VisionVLMLLMMLOpsCI/CDArchitecture Decision RecordNon-Functional Requirementslarge scale AI solutions