Senior Software Engineer - Localization & Mapping

Who we are

With its A.I.-powered robotic technology platform, Symbotic is changing the way consumer goods move through the supply chain. Intelligent software orchestrates advanced robots in a high-density, end-to-end system – reinventing warehouse automation for increased efficiency, speed and flexibility.

Who we are

Our work matters – robotics is transforming the world of commerce. Every day our intelligent robots are responsible for getting food and merchandise to thousands of stores across North America. We’re an industry changer – we created the first and only fully autonomous, end-to-end supply chain solution. Today, we are driving towards even bigger ideas – and we have the people, technology, and leadership to fully realize these aspirations. We have the excitement and ambition of a startup with the benefits and resources of a proven organization. 

What we need

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. 

In this role you will: 

• 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'll need

• A Master's or Ph.D. degree in Computer Science, Robotics, Electrical Engineering, or a related field. 

• Minimum of 6 years of proven 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