Senior Computer Vision Engineer - Secret-Clearance Eligible

Green Key Resources; San Jose (CA); On-site; USD 170,000 - 210,000; Full time

Job summary

Green Key Resources is seeking a Staff Computer Vision Engineer to lead the development of real-time vision algorithms for autonomous systems. This role focuses on fast, accurate detection, tracking, and classification in dynamic environments.

You will collaborate with electrical and systems engineers to integrate vision into turret hardware and design robust tests to ensure performance under varied conditions.

Qualifications

• Master's or higher in CS/EE or related field with ML/CV specialization.
• 5+ years hands-on experience in real-time vision systems, robotics, or safety-critical environments.
• Strong coding in Python and C++, with ML frameworks like TensorFlow or PyTorch.
• Experience deploying vision on embedded hardware and constrained platforms.
• Familiarity with multi-sensor fusion for autonomous systems.
• Collaborative mindset with mentoring experience in engineering teams.

Responsibilities

• Lead design and optimization of real-time vision algorithms for autonomous targets.
• Develop ML models for resource-constrained embedded systems with high accuracy.
• Collaborate with electrical and systems engineers to integrate vision into turret hardware.
• Design rigorous testing to validate performance across diverse scenarios.
• Mentor junior engineers and contribute to the internal knowledge base.
• Support transition from prototype to military-grade deployment across platforms.

Skills

Machine learning

Computer vision

Robotics

Python

C++

Multi-sensor fusion

Mentoring engineers

Education

MS in CS/EE or related (ML/CV)

Tools

TensorFlow

PyTorch

Job description

Green Key Resources is seeking a Staff Computer Vision Engineer to lead the development of real-time vision algorithms for autonomous systems. This role focuses on fast, accurate detection, tracking, and classification in dynamic environments.

You will collaborate with electrical and systems engineers to integrate vision into turret hardware and design robust tests to ensure performance under varied conditions.