Computer Vision Software Engineer, Software Defined Weapon Optic

Job summary

Responsibilities

Come join a high-performing team dedicated to fielding next-generation precision targeting systems. You will solve challenging computer vision problems that arise in a software-defined weapon optic providing precision aiming and targeting — including target detection, tracking, camera/sensor…

• Designing and developing real-time target detection, classification, and tracking models and algorithms optimized for low-compute, embedded environments (e.g., Qualcomm-based…
• Building and refining camera and sensor calibration pipelines (offline and online) for multi-sensor weapon sight assemblies, including thermal and electro-optical sensors.
• Developing pose estimation and localization algorithms using techniques such as bundle adjustment, feature detection/matching, homography fitting, and multi-view geometry.
• Profiling, optimizing, and deploying vision models and algorithms on constrained hardware — managing trade-offs between accuracy, latency, and power consumption.
• Creating testing and evaluation frameworks: designing experiments, analyzing field and production data, and establishing metrics for detection/tracking and overall algorithm…

What they're looking for

• BS in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, Mechatronics, or related field.
• Proficiency in C++ and Python.
• Strong understanding of fundamental computer vision concepts: camera projection models, image distortion, rigid transformations, multi-view geometry.
• Prior experience with geometric computer vision (SLAM, camera calibration, stereo vision, photogrammetry, or similar) in academic or professional work.
• Experience developing or deploying algorithms in resource-constrained or embedded environments.

Tech stack

• C++
• Python
• NumPy