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Computer Vision EngineerGravity Engineering Services Pvt Ltd. • Seattle, Washington, United States
Postuler Maintenant
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Computer Vision Engineer

Gravity Engineering Services Pvt Ltd.
  • US
    Seattle, Washington, United States
  • US
    Seattle, Washington, United States
Postuler Maintenant

À propos

About the Role We are seeking a
Computer Vision Engineer
to join our Perception team at Anduril Industries, where we develop cutting‑edge perception systems for autonomous drones and unmanned sea vehicles in defense applications. While our team has strong capabilities in machine learning and real‑time processing, we need a classical computer vision expert to elevate our camera integration, calibration workflows, and establish industry‑standard best practices.
This role will collaborate across multiple teams, supporting ML engineers, system architects, and integration specialists by ensuring our perception systems receive high‑quality, well‑calibrated sensor data from diverse camera modalities.
Key Responsibilities Camera Systems & Integration
Design and implement camera integration pipelines for diverse sensor modalities including RGB, stereo, fisheye, thermal, and event‑based camera
Develop middleware and vision pipeline components that interface with our perception stack
Work with hardware and program teams to evaluate and integrate new camera systems
Calibration & Geometric Vision
Develop and maintain calibration procedures for intrinsic and extrinsic camera parameters
Implement multi‑camera calibration systems and camera‑lidar extrinsic calibration workflows
Design online and offline calibration methods for field deployment scenarios
Apply geometric computer vision techniques including structure from motion and 3D reconstruction
Classical Computer Vision
Implement robust image processing pipelines (filtering, augmentation, rectification)
Develop feature detection, matching, and tracking algorithms
Design optical flow and visual odometry solutions
Optimize vision algorithms for real‑time performance on embedded platforms
Standards & Best Practices
Establish and document computer vision best practices
Create reusable calibration tools and frameworks
Ensure vision systems meet defense industry standards and requirements
Conduct lab testing and validation of camera systems
Required Qualifications
Education : Bachelor's degree in Computer Science, Electrical Engineering, Robotics, or related field
Experience : 4-6 years of industry experience in computer vision engineering OR Master's degree with 2-4 years of industry experience
Strong proficiency in
C++
or
Python
Hands‑on experience with
OpenCV
and classical computer vision algorithms
Deep understanding of camera models, calibration theory, and geometric vision
Experience with multi‑camera systems and sensor fusion
Experience developing middleware and vision pipelines ( ROS / ROS2
or similar)
Familiarity with diverse camera technologies (
RGB ,
stereo ,
fisheye ,
thermal ,
ToF ,
event‑based )
Lab experience with camera systems and optical equipment
Preferred Qualifications
Rust
programming experience
Master's degree in Computer Vision, Robotics, or related field
Experience in defense, aerospace, or autonomous systems
Background in robotics perception for drones or marine vehicles
Experience with real‑time embedded vision systems
Familiarity with defense industry standards and security clearance processes
Publications or contributions to computer vision research or open‑source projects
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  • Seattle, Washington, United States

Compétences linguistiques

  • English
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