Director of Computer Vision & ML — Edge AI for Robotics

Green Key Resources LLC; Austin (TX); On-site; USD 180,000 - 240,000; Full time

Job summary

Green Key Resources LLC is seeking an experienced Director of Computer Vision & Machine Learning to lead a team responsible for developing advanced vision and perception capabilities for next-generation defense systems. This role requires hands-on technical leadership across CV, AI/ML, and software engineering, guiding algorithms from development to deployment.

You will steer the full product lifecycle, including data strategy and system integration, while cultivating talent and ensuring robust

Qualifications

• 10+ years of experience building ML-based computer vision solutions
• Proven leadership of engineering teams and technical direction
• Strong background in AI, ML, robotics, and vision systems
• Experience deploying real-world vision systems in time-critical contexts

Responsibilities

• Lead development of advanced computer vision algorithms for real-time detection, tracking, and classification
• Design and deploy ML models optimized for edge computing under constrained environments
• Collaborate with hardware teams to integrate vision systems into architectures
• Oversee rigorous testing across diverse operational scenarios to ensure robustness
• Mentor engineers and build a strong internal knowledge base in ML/vision/robotics

Skills

Computer Vision

Robotics

Python

C++

ML Frameworks

Edge Computing

Team Leadership

Education

BSc in CS/EE

Tools

PyTorch

TensorFlow

Job description

Green Key Resources LLC is seeking an experienced Director of Computer Vision & Machine Learning to lead a team responsible for developing advanced vision and perception capabilities for next-generation defense systems. This role requires hands-on technical leadership across CV, AI/ML, and software engineering, guiding algorithms from development to deployment.

You will steer the full product lifecycle, including data strategy and system integration, while cultivating talent and ensuring robust