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# Senior Software Engineer - Localization (Visual Odometry)

- **Company:** Gatik AI, Inc.
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Salary:** $170,000.0 - $260,000.0
- **Contract:** Permanent contract
- **Skills:** Computer Vision, C++ (Programming Language), Code Review, Nvidia CUDA, Global Positioning Systems (GPS), OpenCV, OpenGL, Open Source Technology, Software Engineering, Systems Integration, Linux Development, Information Technology, Optimization Algorithms, C++14, Lidar, Software Version Control
- **Published:** October 30, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-software-engineer-localization-visual-odometry-santa-clara-ca--4fdf4d97-82f0-4e4a-86f8-b5bb4e4e4dcd

## About the Role

Software Engineering, Software Localization, Business-to-Business (B2B), Supply Chain, Establish Priorities, Cargo/Freight, Logistics, Fortune 500 Customers, Vehicle Fleets, Hardware-Software Integration, * 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.

## Description

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.

What you'll do

 * 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