Gatik
Senior/Staff Software Engineer – Localization (Visual Odometry)
Gatik, Mountain View, California, us, 94039
Senior/Staff Software Engineer – Localization (Visual Odometry)
Join Gatik, a leader in autonomous middle‑mile logistics, to build precise, real‑time vehicle localization using camera‑based perception. The role is onsite 5 days per week at our Mountain View, CA office.
About the role 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 for autonomous driving applications.
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 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.
What we're looking for
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 (development, testing, or deployment).
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 with ROS/ROS2, Linux development environments, and version control systems.
Bonus Qualifications
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.
More about Gatik Founded in 2017, Gatik delivers proprietary autonomous vehicle technology – a seamless integration of software and hardware – to enable earlier successes for our clients in constrained Level 4 autonomy. The company’s Level 4 autonomous technology, Gatik Carrier™, is custom‑built to transport freight safely and efficiently between pick‑up and drop‑off locations on the middle mile.
EEO Statement We at Gatik strive to create a diverse and inclusive environment where everyone feels they have opportunities to succeed and grow because we know that together we can do great things. We are committed to an inclusive and diverse team. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.
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About the role 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 for autonomous driving applications.
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 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.
What we're looking for
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 (development, testing, or deployment).
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 with ROS/ROS2, Linux development environments, and version control systems.
Bonus Qualifications
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.
More about Gatik Founded in 2017, Gatik delivers proprietary autonomous vehicle technology – a seamless integration of software and hardware – to enable earlier successes for our clients in constrained Level 4 autonomy. The company’s Level 4 autonomous technology, Gatik Carrier™, is custom‑built to transport freight safely and efficiently between pick‑up and drop‑off locations on the middle mile.
EEO Statement We at Gatik strive to create a diverse and inclusive environment where everyone feels they have opportunities to succeed and grow because we know that together we can do great things. We are committed to an inclusive and diverse team. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.
#J-18808-Ljbffr