Staff Computer Vision Engineer

MUST BE ELIGIBLE TO OBTAIN TOP SECURITY CLEARANCE.

About the Role

We’re seeking an experienced Computer Vision Engineer to lead the development of real-time vision algorithms for our autonomous weapon system. 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.
• 7+ 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.