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  3. Senior Software Engineer – Localization (Visual Odometry)
Gatik logo

Senior Software Engineer – Localization (Visual Odometry)

Gatik
Santa Clara, Canada
Full Time
Posted August 8, 2025
$170k - $260k
Power Generation
Apply Now

Application opens on company website

Job Description

At Gatik, we connect people of extraordinary talent and experience to an opportunity to create a more resilient supply chain and contribute to our environment’s sustainability.

Key Responsibilities

  • We are looking for a Senior or Staff Software Engineer with a strong background in Visual Odometry (VO) and Localization to join our autonomy team. This role is critical to building precise, real-time vehicle localization systems using camera-based perception for autonomous driving applications. The ideal candidate has hands-on experience deploying VO systems in real-world environments, particularly in the autonomous vehicle (AV) domain, and brings solid C++ engineering skills to architect robust, high-performance software solutions.
  • This role is onsite 5 days per week at our Santa Clara, CA office.
  • Design and develop real-time Visual Odometry pipelines using monocular, stereo, or RGB-D camera inputs.
  • Implement robust camera-based localization algorithms, including visual-inertial odometry (VIO), feature tracking, motion estimation, and scale recovery.
  • Integrate VO systems with IMU, GPS, and other sensor data to enhance pose estimation accuracy and stability.
  • Collaborate with the mapping, perception, and control teams to integrate localization with the AV software stack.
  • Develop and optimize production-quality code in modern C++ for real-time performance on embedded compute platforms.
  • Analyze system performance in diverse environmental conditions and drive improvements for reliability, accuracy, and robustness.
  • Participate in code reviews, mentor team members, and contribute to architectural decisions.
  • Stay up to date with the latest research in SLAM, VIO, and VO, and help transition promising techniques into production

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, or a related field.
  • 5+ years of experience in robotics, computer vision, or autonomy; 3+ years specifically in Visual Odometry or VIO.
  • Experience working on Autonomous Vehicle platforms (e.g., development, testing, or deployment of AV systems).
  • Expert proficiency in C++ (C++14/17/20) and modern software engineering best practices.
  • Solid understanding of epipolar geometry, camera calibration, bundle adjustment, and optimization techniques.
  • Hands-on experience with open-source VO/SLAM libraries such as ORB-SLAM, VINS-Fusion, OpenVINS, or similar.
  • Experience working with ROS/ROS2, Linux development environments, and version control systems.
  • Experience integrating visual odometry with Lidar, GPS, or map-based localization.
  • Knowledge of GPU acceleration techniques (CUDA/OpenCV/OpenGL) for computer vision pipelines.
  • Familiarity with real-world deployment constraints such as environmental variability, sensor degradation, and compute limitations.
  • Experience in sensor calibration, time synchronization, and data preprocessing pipelines.
  • Contributions to relevant open-source projects or publications in VO, VIO, or SLAM.
  • Salary Range - $170,000- $260,000

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