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Salary: USD 132,000 - 198,000 / annual
Anduril Industries is seeking a Computer Vision Software Engineer to join the Warfighter Systems division, developing next-generation precision engagement systems. You will work on a software-defined weapon optic that fuses real-time computer vision, sensor data, and onboard processing to increase first-round accuracy for military applications, including counter-UAS engagements and precision targeting missions.
In this role, you will solve challenging computer vision problems in ultra-constrained embedded environments. Core responsibilities include:
• Designing and developing real-time target detection, classification, and tracking models and algorithms optimized for low-compute embedded platforms (e.g., Qualcomm-based systems)
• 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 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 performance metrics under operational conditions
• Collaborating closely with firmware, mechanical engineering, and manufacturing teams to integrate vision software into production hardware
This is a high-performing team operating at the intersection of robotics, embedded systems, and defense technology. The role requires deep technical expertise in real-time vision algorithms, creative problem-solving under tight compute and power budgets, and a commitment to delivering capability to the warfighter.
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
