Staff Computer Vision Engineer

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

• Lead the development of advanced computer vision algorithms with a focus on real-time detection, tracking, and classification.
• Design and deploy machine learning models optimized for edge computing—balancing speed, accuracy, and reliability in constrained environments.
• Work closely with hardware teams, especially electrical engineers, to ensure seamless integration of vision systems into our architecture.
• Conduct rigorous testing across a variety of operational scenarios and environmental conditions to validate system performance and robustness.
• Mentor junior engineers and contribute to building a strong internal knowledge base in machine learning, computer vision, and robotics.

What You’ll Bring:

• A deep-rooted passion for AI, computer vision, and robotics, with a track record of hands-on exploration and innovation in these areas.
• Master’s degree or higher in Computer Science, Electrical Engineering, or a related field, with a strong focus on machine learning and vision systems.
• 6+ years of experience developing machine learning-based computer vision solutions, ideally within robotics or real-time applications.
• Demonstrated success in building and deploying real-world vision systems, especially in time-sensitive or safety-critical contexts.
• Proficiency in Python and C++, along with experience using ML frameworks such as PyTorch, TensorFlow, or similar.
• Solid understanding of embedded systems and the challenges of integrating vision algorithms into hardware platforms.
• Familiarity with sensor technologies like cameras, LiDAR, RADAR, and their application in autonomous systems.
• A collaborative mindset and a strong desire to mentor and lead technical teams through complex problem-solving.