SLAM Software Engineer

What You’ll Accomplish:

• Applied Research - You will stay current with key literature, leveraging existing filtering and estimation techniques or researching and developing new ones to enhance our robots’ localization, calibration, and object tracking capabilities.
• Software Development - You will write, test, and review production software in accordance with best practices.
• Documentation - You will contribute to existing documentation and adapt content based on updates and user feedback.
• Communication and Teamwork - You will communicate and collaborate with other teams to solve technical challenges.
• Debugging and Triaging - You will triage and debug issues by analyzing relevant data sources and implementing fixes.

Who you are:

• 3+ years of experience (excluding the Master’s experience).
• A Master’s or Ph.D in a robotics-related field (e.g., Mechanical Engineering, Electrical Engineering, or Computer Science), or an equivalent practical experience.
• Experience shipping production software for (camera) calibration, localization, and mapping.
• Proficiency with Python and C++.Excellent grasp of linear algebra, probability, and 3D geometry.
• Deep understanding of SLAM, bundle adjustment, and on-manifold least-squares optimization.
• Experience with linear algebra and optimization libraries such as Eigen, NumPy, Ceres Solver, GTSAM, g2oFamiliarity with filtering techniques such as Kalman/particle filters.
• Strong foundational knowledge of Computer Science algorithms and data structures.
• Familiarity with ROS and other robotics libraries/toolboxes.


PERSONAL TRAITS AND VALUES THEY SHOULD EMBODY:
• Strong engineering background: engineering-first development.
• Good at quick prototyping.
• Ready to embrace and work on challenging problems.
• Ability and willingness to work on-site in our Cambridge office at least 3 times a week