> Markdown version of [/jobs/ext/3922039-computer-vision-software-engineer-software-defined-weapon-optic](https://www.wearedevelopers.com/jobs/ext/3922039-computer-vision-software-engineer-software-defined-weapon-optic). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Computer Vision Software Engineer, Software Defined Weapon Optic - **Company:** Anduril Industries - **Location:** Costa Mesa, CA, United States - **Salary:** $132,000.0 - $198,000.0 - **Contract:** Permanent contract - **Skills:** Computing Platforms, Computer Vision, C++ (Programming Language), Profiling, Eigen (C++ Library), Linux on Embedded Systems, Firmware, Python (Programming Language), MATLAB, NumPy, Octave, OpenCV, Operational Databases, Real-Time Operating Systems, Anti-Phishing, SciPy, Jupyter, Information Technology, ONNX (Open Neural Network Exchange) Format, TensorRT - **Published:** October 26, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9252763/computer-vision-software-engineer-software-defined-weapon-optic ## About the Role 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 calibration, and geometric pose estimation - all running on resource-constrained embedded platforms. This role requires deep technical expertise in real-time vision algorithms, creative problem-solving under tight compute and power budgets, and a passion for delivering capability to the warfighter., * 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., * 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. ## Description The Computer Vision Software Engineer will focus on developing and optimizing vision algorithms for a software-defined weapon optic that augments the warfighter with precision aiming and targeting, including counter-UAS applications. Core responsibilities include: * 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., Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: * No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. * Please always verify communications: + Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. + Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com. * Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links. * What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts.