Sr Algorithm Engineer - Localization

Imagry is on the forefront of autonomous vehicle technology developing cuttingedge solutions that redefine the future of transportation. Were currently seeking a highly skilled Localization Algorithm Engineer to join our dynamic team. This role is essential for enhancing our autonomous vehicles ability to understand and navigate its environment with high precision.

Role Insights:

As a Localization Algorithm Engineer youll take charge of developing and refining the Ego localization module crucial for achieving accurate 6 degrees of freedom (DoF) localization. Youll leverage advanced algorithms like Kalman Filter (KF) Extended Kalman Filter (EKF) Bundle Adjustment (BA) Visual Odometry (VO) VisualInertial 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 vehicles position and orientation in realtime.
2. Employ techniques such as sensor fusion SLAM (Simultaneous Localization and Mapping) and mapbased 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 realtime performance on embedded systems with a focus on computational efficiency and scalability.
5. Conduct rigorous testing and validation of localization algorithms through simulation and realworld 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 crossfunctional team discussions contributing technical expertise to broader system architecture and design decisions.

Requirements :

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 highprecision 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/nonlinear optimization).
5. Relevant industry experience in autonomous vehicles or mobile robotics with a focus on localization systems.

Preferred Qualifications:

1. Handson 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 realtime systems.
4. Demonstrated ability to work collaboratively in a fastpaced R&D environment with excellent problemsolving and communication skills.

Remote Work :

Yes

Employment Type :

Fulltime