Principal Robotics Engineer – Localization & Mapping
Time type: full time
Posted on: December 08, 2023
Job requisition id: R2500
What we need
We’re seeking a SLAM expert with several years of experience to join the Perception team at the Principal Engineer level. As a SLAM Expert, you will play a technical leadership 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.
What we do
We are a talented team of roboticists working on the heart of Symbotic’s automation solution – Symbot, the mobile robot. We are responsible for delivering solutions for the storage and retrieval use cases performed in a fully autonomous structure operating 100s of Symbots at customer sites.
What you’ll need
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.
What you will do
A Master's or Ph.D. degree in Computer Science, Robotics, Electrical Engineering, or a related field.
8-12 years’ of demonstrated experience in SLAM research and development, with a strong publication record in relevant conferences or 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++, Python, and MATLAB.
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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