Computer Vision Software Engineer, Software Defined Weapon Optic

What you'll do

• Build and optimize target detection, classification, tracking, calibration, pose-estimation, and localization algorithms for constrained hardware.
• Profile and evaluate algorithms, balancing accuracy, latency, and power, and analyze field and production data.
• Integrate vision software with weapon-sight hardware in collaboration with firmware, mechanical engineering, and manufacturing teams.

What they ask for

• BS in a related field, including Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or Mechatronics.
• Proficiency in C++ and Python, and strong understanding of fundamental computer vision concepts.
• Academic or professional experience with geometric computer vision, such as SLAM, camera calibration, stereo vision, or photogrammetry.
• Experience developing or deploying algorithms in resource-constrained or embedded environments; eligible to obtain security clearance.

Nice to have

• MS or PhD in a related field; experience with industrial computer vision, counter-UAS, or precision targeting systems.
• Experience with embedded vision platforms, multi-sensor systems, inference frameworks, or real-time/embedded operating systems.

Pay

$132,000 — $198,000 USD (base salary)

Tools

C++, Python, Qualcomm, Snapdragon, Ceres, Eigen, OpenCV, TensorRT

AI focus

Develop and optimize real-time detection, classification, and tracking models for edge deployment in a weapon optic, including counter-UAS applications.