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Gatik

Robot type
Autonomous Vehicle
Location
Santa ClaraCaliforniaUSA
Job type
Software
Posted
Aug 8, 2025
Salary
$170,000–$260,000 a year
Full-time

Senior Software Engineer – Localization (Visual Odometry)

Job description

We have delivered complete, proprietary AV technology - an integration of software and hardware - to enable earlier successes for our clients in constrained Level 4 autonomy. By choosing the middle mile – with defined point-to-point delivery, we have simplified some of the more complex AV challenges, enabling us to achieve full autonomy ahead of competitors. Given extensive knowledge of Gatik’s well-defined, fixed route ODDs and hybrid architecture, we are able to hyper-optimize our models with exponentially less data, establish gate-keeping mechanisms to maintain explainability, and ensure continued safety of the system for unmanned operations.

Visit us at Gatik for more company…

Job responsibilities

  • 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

Job 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.
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