General Motors

Technical Fellow – Artificial Intelligence, Computer Vision, LLMs, VLMs

General Motors

full-time

Posted on:

Location Type: Hybrid

Location: Austin • California, Missouri, Texas • 🇺🇸 United States

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Salary

💰 $234,000 - $358,500 per year

Job Level

SeniorLead

Tech Stack

AWSAzureCloudJavaKerasPythonPyTorchTensorflow

About the role

  • 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
Soft skills
mentorshipcross-functional alignmentcommunicationleadershipproblem-solvingdecision-makingcollaborationcontinuous improvementpresentation skillsrisk management
Certifications
PhD in relevant fieldSTEM focused degree
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