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Lead Engineer, Autonomous Mapping Solutions
2 months ago
Gatik is at the forefront of autonomous logistics, specializing in the efficient and safe delivery of goods through our fleet of light and medium-duty trucks. We focus on short-haul, B2B logistics for prominent clients, enabling them to streamline their supply chain operations while significantly reducing labor costs and meeting the growing demand for rapid deliveries. Our autonomous box trucks are actively deployed across various markets.
Role Overview:
We are looking for exceptional talent to join our mapping and localization team. You will play a pivotal role in developing advanced mapping systems that integrate data from diverse sensors and localization algorithms for real-time applications. This position is essential for improving the accuracy and reliability of our self-driving vehicles. You will engage with complex challenges in autonomous navigation, working at the intersection of robotics, computer vision, and machine learning.
Key Responsibilities:
- Design and implement mapping algorithms to create a scalable and efficient mapping pipeline for high-definition maps.
- Innovate in localization techniques, developing systems that achieve centimeter-level precision through a combination of traditional and cutting-edge sensor fusion methods, including LIDAR, radar, and camera data.
- Optimize simultaneous localization and mapping (SLAM) algorithms for dynamic environments, ensuring robust performance across varying weather and lighting conditions.
- Lead the creation of tools for map generation, simulation, and testing to enhance the efficiency of our mapping and localization processes.
- Collaborate closely with perception, planning, and control teams to ensure seamless integration of mapping and localization within the autonomous driving framework.
- Evaluate and architect safety and redundancy measures in the localization system.
- Take ownership of key performance metrics, including latency, memory usage, bandwidth, and power consumption.
- Contribute to the company's intellectual property through technical reports, patent applications, and academic publications.
- PhD in Computer Science, Electrical Engineering, Robotics, or a related discipline, with a focus on mapping, localization, or SLAM.
- Expertise in C/C++ and Python, with a strong background in developing high-performance algorithms in a Linux environment.
- A minimum of 6 years of experience in research or R&D, with a proven history in autonomous systems, robotics, or computer vision.
- Familiarity with pose estimation, probabilistic filtering, bundle adjustment, non-linear optimization, and handling large-scale 3D data.
- Deep knowledge of SLAM methodologies, point cloud registration, and GNSS/INS systems.
- Hands-on experience with sensor calibration and data fusion techniques, integrating various sensors for vehicle localization.
- Strong understanding of geometric and probabilistic algorithms for mapping and localization, along with awareness of current research trends.
- Experience with robotics software development tools such as ROS and familiarity with machine learning frameworks like TensorFlow or PyTorch.
- A research background in SLAM and/or relevant publications in localization and mapping applications.
At Gatik, we are dedicated to fostering a diverse and inclusive workplace where every team member can thrive. We believe that our varied backgrounds and perspectives drive innovation and success. Our culture prioritizes collaboration, respect, and agility, ensuring that everyone has the opportunity to contribute to our mission.
