Real-Time Embedded CV Engineer for Weapon Optics

Andurilindustries

Costa Mesa (CA)

On-site

USD 132,000 - 198,000

Full time

11 days ago

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Job summary

Anduril Industries is building a software-defined weapon optic that fuses real-time computer vision with embedded processing to aid the warfighter. You will tackle target detection, tracking, camera calibration, and pose estimation in resource-constrained environments.

The role requires deep knowledge of real-time vision algorithms, C++/Python, and collaboration with hardware teams to integrate software into production weapon sight hardware. Security clearance is required.

Qualifications

  • BS in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or related field.
  • Proficiency in C++ and Python.
  • Strong knowledge of camera projection, distortion, and multi-view geometry.

Responsibilities

  • Develop and optimize real-time target detection, classification, and tracking for embedded platforms.
  • Build and refine camera/sensor calibration pipelines for multi-sensor weapon sight assemblies.
  • Develop pose estimation and localization using multi-view geometry techniques.
  • Profile and optimize vision models for constrained hardware and power budgets.
  • Create testing frameworks and evaluate performance under operational conditions.
  • Collaborate with firmware, mechanical, and manufacturing teams to integrate vision software.

Skills

C++
Python
Computer vision
SLAM
Camera calibration
Multi-view geometry
Embedded/edge deployment
Communication skills

Education

Bachelor's degree in Robotics, CS, EE, ME, Mechatronics
MS/PhD preferred

Tools

Qualcomm Snapdragon
TensorRT
OpenCV
Eigen
NumPy/SciPy

Job description

Anduril Industries is building a software-defined weapon optic that fuses real-time computer vision with embedded processing to aid the warfighter. You will tackle target detection, tracking, camera calibration, and pose estimation in resource-constrained environments.

The role requires deep knowledge of real-time vision algorithms, C++/Python, and collaboration with hardware teams to integrate software into production weapon sight hardware. Security clearance is required.

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