Computer Vision Software Engineer, Software Defined Weapon Optic

LinuxCareers; Costa Mesa (CA); On-site; USD 132,000 - 198,000; Full time

Benefits offered by this job

Equity grants

Health insurance

Comprehensive benefits

Job summary

Anduril Industries is seeking an advanced computer vision engineer to design and optimize real-time target detection, tracking, and pose estimation for weapon sight systems on resource-constrained embedded platforms.

You will refine camera calibration pipelines, develop multi-sensor fusion methods, and balance accuracy with latency and power usage while collaborating with firmware, mechanical, and manufacturing teams. A security clearance is eligible.

Qualifications

• Bachelor's degree 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).
• 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.

Responsibilities

• Design and develop real-time target detection, classification, and tracking models optimized for low-compute embedded environments on Qualcomm-based platforms.
• Build and refine camera and sensor calibration pipelines for multi-sensor weapon sight assemblies, including thermal and electro-optical sensors.
• Develop pose estimation and localization algorithms using bundle adjustment, feature detection/matching, homography fitting, and multi-view geometry.
• Profile, optimize, and deploy vision models on constrained hardware, managing trade-offs between accuracy, latency, and power consumption.
• Create testing and evaluation frameworks, analyze field and production data, and establish performance metrics for detection/tracking under operational conditions.
• Collaborate with firmware, mechanical engineering, and manufacturing teams to integrate vision software into production weapon sight hardware.

Skills

C++

Python

Vision algorithms

Embedded systems

Communication

Security clearance eligible

Education

Bachelor's degree in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, Mechatronics, or related field

Tools

OpenCV

Eigen

Ceres

TensorRT

SNPE

ONNX Runtime

NumPy

SciPy

Job description

Anduril Industries is a defense technology company building next-generation precision targeting systems. This role involves developing and optimizing real-time computer vision algorithms for a software-defined weapon optic running on resource-constrained embedded platforms, including target detection, tracking, sensor calibration, and pose estimation.

What You'll Do

• Design and develop real-time target detection, classification, and tracking models optimized for low-compute embedded environments on Qualcomm-based platforms
• Build and refine camera and sensor calibration pipelines for multi-sensor weapon sight assemblies, including thermal and electro-optical sensors
• Develop pose estimation and localization algorithms using bundle adjustment, feature detection/matching, homography fitting, and multi-view geometry
• Profile, optimize, and deploy vision models on constrained hardware, managing trade-offs between accuracy, latency, and power consumption
• Create testing and evaluation frameworks, analyze field and production data, and establish performance metrics for detection/tracking under operational conditions
• Collaborate with firmware, mechanical engineering, and manufacturing teams to integrate vision software into production weapon sight hardware

What You Need

• Bachelor's degree 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

Nice to Have

• Master's 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

Base salary $132,000–$198,000 USD annually. Highly competitive equity grants are included in the majority of full-time offers. Top-tier benefits package available at little to no cost to employees, including health, recovery, and comprehensive coverage.