דרושים Localization Algorithm Engineer בחיפה

Imagry is on the forefront of autonomous vehicle technology, developing cutting-edge solutions that redefine the future of transportation. We're currently seeking a highly skilled Localization Algorithm Engineer to join our dynamic team. This role is essential for enhancing our autonomous vehicle's ability to understand and navigate its environment with high precision.

**Role Insights:

**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:

• Design, develop, and implement sophisticated localization algorithms to accurately determine the vehicle's position and orientation in real-time.
• Employ techniques such as sensor fusion, SLAM (Simultaneous Localization and Mapping), and map-based localization to enhance accuracy and reliability.
• Work closely with the perception and control teams to integrate the localization module with other system components, ensuring seamless vehicle operation.
• Optimize algorithms for real-time performance on embedded systems, with a focus on computational efficiency and scalability.
• Conduct rigorous testing and validation of localization algorithms through simulation and real-world trials.
• Keep abreast of the latest advancements in localization technologies and methodologies, integrating innovative solutions to maintain and enhance system performance.
• Participate in cross-functional team discussions, contributing technical expertise to broader system architecture and design decisions.

Requirements:

• 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.
• Proven experience in developing and implementing localization algorithms (KF, EKF, BA, VO, VIO, PGO, etc.) for high-precision applications.
• Deep understanding of sensor fusion techniques and experience working with various sensors (IMU, GPS, LiDAR, cameras).
• Strong foundation in mathematical concepts relevant to localization and motion planning (SO3, SE3, linear/non-linear optimization).
• Relevant industry experience in autonomous vehicles or mobile robotics, with a focus on localization systems.

Preferred Qualifications:

• Hands-on experience with advanced localization and mapping techniques, including SLAM and sensor fusion models.
• Familiarity with automotive or robotic sensor technologies and their integration for localization purposes.
• Proficiency in C++ programming, with experience in developing efficient, real-time systems.
• Demonstrated ability to work collaboratively in a fast-paced R&D environment, with excellent problem-solving and communication skills.