Computer Vision Software Engineer, Software Defined Weapon Optic
Costa Mesa · Costa Mesa, CA (OC-00) · USD 132,000-198,000 · Full-time · Posted Oct 19, 2026
At a glance
- Employment
- Full-time
- Location
- Costa Mesa · Costa Mesa, CA (OC-00)
- Salary
- USD 132,000-198,000 · Base salary
About the role
- Come join a high-performing team dedicated to fielding next-generation precision targeting systems as a Computer Vision Software Engineer.
- 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 calibration, and geometric pose estimation — all running on resource-constrained embedded platforms.
Responsibilities
- Designing and developing real-time target detection, classification, and tracking models and algorithms optimized for low-compute, embedded environments (e.g., Qualcomm-based platforms).
- 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 performance under operational conditions.
- Collaborating closely with firmware, mechanical engineering, and manufacturing teams to integrate vision software into production weapon sight hardware.
Requirements
- 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.
- Good communication skills for effective collaboration across hardware, software, firmware, and manufacturing teams.
- Eligible to obtain security clearance.
Preferred qualifications
- MS or PhD in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, Mechatronics, or related field.
- Experience with industrial computer vision systems, counter-UAS applications, or precision targeting systems.
- Hands-on experience with Qualcomm processors/platforms (e.g., Snapdragon) or similar embedded vision SoCs.
- Experience with multi-camera and multi-sensor (EO/IR) systems and associated calibration techniques.
- Proficiency with mathematical/optimization packages in C++ and Python (e.g., Ceres, Eigen, OpenCV, NumPy, SciPy).
- Experience training, optimizing, and deploying detection/tracking models with TensorRT, SNPE, ONNX Runtime, or similar inference frameworks for edge deployment.
- Familiarity with real-time operating systems (RTOS) or embedded Linux environments.
- Familiarity with numeric computing platforms such as MATLAB, Octave, or Jupyter.
Benefits
- Top-tier benefits for full-time employees supporting health, recovery, and whatever comes next
Skills
- C++
- Python
- OpenCV
- Ceres
- Eigen
- NumPy
- SciPy
- TensorRT
- SNPE
- ONNX Runtime
- MATLAB
- Octave
Show all 13 skills
- Jupyter
