2 months ago
Mountain View, CA, USASenior / Staff+
H1B Sponsor
Base Salary
$170k - $260k/yr
Responsibilities
- Design and develop real-time Visual Odometry pipelines using various camera inputs.
- Implement robust camera-based localization algorithms, including visual-inertial odometry.
- Integrate VO systems with IMU, GPS, and other sensor data for enhanced accuracy.
- Collaborate with mapping, perception, and control teams to integrate localization.
- Develop and optimize production-quality code in modern C++ for real-time performance.
- Analyze system performance in diverse conditions and drive improvements.
- Participate in code reviews, mentor team members, and contribute to architectural decisions.
- Stay updated with the latest research in SLAM, VIO, and VO.
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 in Visual Odometry or VIO.
- Experience with Autonomous Vehicle platforms in development, testing, or deployment.
- Expert proficiency in C++ and modern software engineering best practices.
- Solid understanding of epipolar geometry, camera calibration, and optimization techniques.
- Hands-on experience with open-source VO/SLAM libraries like ORB-SLAM or VINS-Fusion.
- Experience with ROS/ROS2, Linux development environments, and version control systems.