7 months ago
Mountain View, CA, USASenior / Staff+
H1B sponsor
Base Salary
$170k - $260k/yr
Responsibilities
- Design and develop real-time Visual Odometry pipelines using monocular, stereo, or RGB-D cameras.
- Implement camera-based localization, visual-inertial odometry, feature tracking, motion estimation, and scale recovery.
- Fuse camera, IMU, GPS, lidar, and mapping data to improve pose estimation accuracy and stability.
- Integrate localization with mapping, perception, control, and the broader autonomous vehicle software stack.
- Develop and optimize production-quality modern C++ for real-time performance on embedded compute platforms.
- Analyze and improve system reliability, accuracy, and robustness across varied environmental conditions.
- Participate in code reviews, mentor team members, and contribute to software architecture decisions.
- Track SLAM, VIO, and VO research and transition promising techniques into production.
Requirements
- Bachelor’s or master’s degree in Computer Science, Robotics, Electrical Engineering, or a related field.
- At least five years of experience in robotics, computer vision, or autonomy, including at least three years specifically in Visual Odometry or VIO.
- Experience developing, testing, or deploying autonomous vehicle systems.
- Expert proficiency in modern C++ and software engineering practices.
- Understanding of epipolar geometry, camera calibration, bundle adjustment, and optimization techniques.
- Hands-on experience with VO or SLAM libraries such as ORB-SLAM, VINS-Fusion, or OpenVINS.
- Experience with ROS or ROS2, Linux development environments, and version control systems.
- Bonus qualifications include lidar, GPS, or map-based localization integration; GPU acceleration; sensor calibration; time synchronization; data preprocessing; and relevant open-source contributions or publications.
Benefits
- Onsite five days per week at the Mountain View, California office.
- Opportunity to work on commercially deployed Level 4 autonomous vehicle technology and contribute to a diverse, inclusive team.
About Gatik AI
Gatik AI builds and operates autonomous middle‑mile trucking networks for retailers and consumer brands, delivered as a transportation‑as‑a‑service offering. Its Level 4, Class 3–7 trucks move B2B freight on short‑haul, repeatable routes, with commercial deployments in Texas, Arkansas, and Ontario, including a fully driverless service launched with Walmart in 2021. Founded in 2017 and headquartered in Santa Clara, it integrates software and hardware to run driverless deliveries between warehouses and stores.