Computer Vision Software Engineer

About the Role

Anduril Industries is seeking a Computer Vision Software Engineer for a Software Defined Weapon Optic. This role involves developing and optimizing vision algorithms for a weapon optic that fuses real-time computer vision, sensor data, and onboard processing to enhance precision engagement systems. The team operates at the intersection of robotics, embedded systems, and defense, building technology that saves lives.

Key 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 & Tech Stack

• 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.

Compensation & Benefits

• US Salary Range: $132,000—$198,000 USD.
• Highly competitive equity grants.
• Top-tier benefits for full-time employees, including comprehensive health, recovery, and support.