Job description

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM Our Anduril Warfighter Systems division is building the next generation of precision engagement systems. We are developing a software-defined weapon optic that fuses real-time computer vision, sensor data, and onboard processing to dramatically increase first-round accuracy for the warfighter. By pushing advanced CV algorithms into ultra-constrained compute environments, we are delivering a decisive edge at the tactical level — including enabling counter-UAS engagements and other precision targeting missions. This team operates at the intersection of robotics, embedded systems, and defense — building technology that saves lives. ABOUT THE JOB 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. WHAT YOU WILL DO 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. REQUIRED QUALIFICATIONS 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. US Salary Range $132,000 — $198,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits . Protecting Yourself from Recruitment Scams 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. Data Privacy To view Anduril's candidate data privacy policy, please visit anduril.com . By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.

Requirements

Must-haves

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.
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.
Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address.

Nice-to-haves

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.

Application prep

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Keywords to mirror

aipython

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Vision