Lead Real-Time Computer Vision Engineer - Edge AI

Green Key Resources; United States; On-site; USD 140,000 - 210,000; Full time

Job summary

Green Key Resources seeks a senior robotics/vision engineer to lead the development of real-time computer vision algorithms for detection, tracking, and classification across edge devices. You will design and deploy machine learning models optimized for speed and reliability in constrained environments, and work closely with hardware teams to ensure seamless integration.

The role also includes rigorous testing across diverse conditions and mentoring junior engineers to build a strong internal

Qualifications

• Master’s degree or higher in Computer Science, Electrical Engineering, or a related field.
• 6+ years of experience developing ML-based computer vision solutions.
• Experience building and deploying real-world vision systems in time-sensitive contexts.

Responsibilities

• Lead the development of advanced computer vision algorithms for real-time detection, tracking, and classification.
• Design and deploy ML models optimized for edge computing in constrained environments.
• Collaborate with hardware teams to ensure seamless integration of vision systems.
• Conduct rigorous testing across diverse scenarios and environmental conditions.
• Mentor junior engineers and contribute to the internal knowledge base in ML, CV, and robotics.

Skills

AI & Computer Vision

Robotics

Python

C++

Embedded Systems

Education

Master's degree or higher in Computer Science, Electrical Engineering, or related field

Tools

PyTorch

TensorFlow

Job description

Green Key Resources seeks a senior robotics/vision engineer to lead the development of real-time computer vision algorithms for detection, tracking, and classification across edge devices. You will design and deploy machine learning models optimized for speed and reliability in constrained environments, and work closely with hardware teams to ensure seamless integration.

The role also includes rigorous testing across diverse conditions and mentoring junior engineers to build a strong internal