Job Description:
As a Localization Algorithm Engineer, you'll take charge of developing and refining the Ego localization module, crucial for achieving accurate 6 degrees of freedom (DoF) localization. You'll leverage advanced algorithms like Kalman Filter (KF), Extended Kalman Filter (EKF), Bundle Adjustment (BA), Visual Odometry (VO), Visual-Inertial Odometry (VIO), Pose Graph Optimization (PGO), and others, integrating data from various sensors to create a cohesive and accurate positioning solution. Responsibilities:
1. Design, develop, and implement sophisticated localization algorithms to accurately determine the vehicle's position and orientation in real-time.
2. Employ techniques such as sensor fusion, SLAM (Simultaneous Localization and Mapping), and map-based localization to enhance accuracy and reliability.
3. Work closely with the perception and control teams to integrate the localization module with other system components, ensuring seamless vehicle operation.
4. Optimize algorithms for real-time performance on embedded systems, with a focus on computational efficiency and scalability.
5. Conduct rigorous testing and validation of localization algorithms through simulation and real-world trials.
6. Keep abreast of the latest advancements in localization technologies and methodologies, integrating innovative solutions to maintain and enhance system performance.
7. Participate in cross-functional team discussions, contributing technical expertise to broader system architecture and design decisions.
Job Qualifications:
Qualifications:
1. MSc or Ph.D. in Electrical and Computer Engineering, Robotics, Computer Science, or related fields, with a strong focus on localization, sensor fusion, or related areas.
2. Proven experience in developing and implementing localization algorithms (KF, EKF, BA, VO, VIO, PGO, etc.) for high-precision applications.
3. Deep understanding of sensor fusion techniques and experience working with various sensors (IMU, GPS, LiDAR, cameras).
4. Strong foundation in mathematical concepts relevant to localization and motion planning (SO3, SE3, linear/non-linear optimization).
5. Relevant industry experience in autonomous vehicles or mobile robotics, with a focus on localization systems. Preferred Qualifications:
1. Hands-on experience with advanced localization and mapping techniques, including SLAM and sensor fusion models.
2. Familiarity with automotive or robotic sensor technologies and their integration for localization purposes.
3. Proficiency in C++ programming, with experience in developing efficient, real-time systems.
4. Demonstrated ability to work collaboratively in a fast-paced R&D environment, with excellent problem-solving and communication skills
Company Occupation:
High Tech
Company Size:
Small (0 - 50)