Staff Computer Vision Engineer

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

MUST BE ELIGIBLE TO OBTAIN SECRET SECURITY CLEARANCE.

About the Role

We’re seeking a Staff Computer Vision Engineer to lead the development of real-time vision algorithms for our autonomous systems. This role is critical to enabling fast, accurate detection, tracking, and classification in dynamic environments.

Key Responsibilities

• Drive the design and optimization of real-time computer vision algorithms for autonomous target identification and engagement.
• Develop machine learning models tailored for resource-constrained embedded systems, ensuring high accuracy and reliability.
• Collaborate with electrical and systems engineers to tightly integrate vision solutions into turret hardware.
• Design and execute rigorous testing protocols to validate performance across varied operational scenarios and environmental conditions.
• Mentor junior team members and contribute to building a strong internal knowledge base in vision and ML technologies.
• Support the transition from prototype to military-grade deployment and assist in adapting systems to different weapon platforms and operational ranges.

What We’re Looking For

• A deep, career-long passion for machine learning, computer vision, and robotics.
• Master’s degree or higher in Computer Science, Electrical Engineering, or a related field, with a specialization in ML or computer vision.
• 5+ years of hands‑on experience developing and deploying computer vision systems, ideally in robotics or real‑time, safety-critical environments.
• Strong coding skills in Python and C++, with proficiency in ML frameworks like TensorFlow, PyTorch, or similar.
• Experience working with embedded systems and deploying vision algorithms on constrained hardware.
• Familiarity with multi-sensor fusion (e.g., cameras, LiDAR, radar) for autonomous systems.
• A collaborative mindset and proven experience mentoring engineers and driving complex technical solutions as part of a team.