Job Description
The role involves designing and developing real-time visual odometry and localization systems for autonomous vehicles, integrating sensor data to ensure precise vehicle positioning, and collaborating with cross-functional teams to enhance autonomous driving software.
Key Responsibilities
- Design and develop real-time Visual Odometry pipelines using camera inputs.
- Implement camera-based localization algorithms, including visual-inertial odometry, feature tracking, and motion estimation.
- Integrate VO systems with IMU, GPS, and other sensor data to improve pose estimation.
- Collaborate with mapping, perception, and control teams to integrate localization into the AV software stack.
- Develop and optimize high-performance, production-quality C code for real-time embedded platforms.
- Analyze system performance across environmental conditions and improve reliability and accuracy.
- Participate in code reviews, mentor team members, and contribute to architectural decisions.
- Stay updated with research in SLAM, VIO, and VO, and transition relevant techniques into production.
Requirements
- Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or a related field.
- At least 5 years of experience in robotics, computer vision, or autonomy.
- At least 3 years of experience specifically in Visual Odometry (VO) or Visual-Inertial Odometry (VIO).
- Experience working on Autonomous Vehicle platforms, including development, testing, or deployment of AV systems.
- Expert proficiency in C, C++14, C++17, C++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.
Benefits & Perks
Salary Range: 170,000-260,000 USD
Work schedule: Onsite 5 days per week
Work environment perks: Collaborative, respectful, and inclusive culture emphasizing diversity and growth
Additional benefits: Opportunities to contribute to innovative autonomous vehicle technology, professional development, and being part of a pioneering company in autonomous middle-mile logistics
Ready to Apply?
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