We’re seeking a SLAM expert with several years of experience to join the Perception team at the team senior engineer level. As a SLAM Expert, you will play a technical development role in developing and implementing state-of-the-art SLAM algorithms and systems to advance our cutting-edge fulfillment technology. We are looking for people who thrive in a creative, collaborative, and agile development environment.

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• Lead the design and development of SLAM-based navigation systems for robotic platforms.
• Utilize SLAM algorithms and techniques to enable accurate localization and mapping in various environments.
• Develop, optimize, and implement SLAM algorithms and systems for real-time applications.
• Conduct research and stay up to date with the latest advancements in SLAM and related fields.
• Design and execute experiments to evaluate the performance and robustness of SLAM algorithms and systems.
• Collaborate with cross-functional teams, including software engineers, computer vision experts, and robotics engineers, to integrate SLAM solutions into various projects.
• Provide technical guidance and support to team members working on SLAM-related projects.
• Identify and analyze challenges in SLAM implementation and propose innovative solutions.
• Contribute to the development of tools and frameworks to streamline the SLAM development process.
• Document and communicate research findings, algorithms, and technical specifications effectively.

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• A Bachelors / master's degree in Computer Science, Robotics or a related field.
• 1-4 years of demonstrated experience in SLAM research and development, with a strong publication record in relevant conferences and journals.
• Expertise in various SLAM techniques, such as visual SLAM, LiDAR SLAM, visual-inertial SLAM, graph-based SLAM, Kalman filtering, bundle adjustment, structure from motion, etc.
• Proficiency in programming languages commonly used in SLAM, such as C++ and Python.
• Solid understanding of computer vision, sensor fusion, probabilistic robotics, and optimization algorithms.
• Experience with popular SLAM libraries and frameworks, such as ROS, OpenCV, PCL, GTSAM, and g2o.
• Strong mathematical and analytical skills, with the ability to apply advanced mathematical concepts to solve SLAM challenges.
• Strong communication and teamwork skills to collaborate effectively with interdisciplinary teams.
• Prior experience working with autonomous systems and robotics.

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• Collaborative and innovative work environment.
• Opportunities for professional development and continued education.
• Comprehensive health and wellness benefits.
• Competitive salary with performance-based bonuses.

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