Senior Research Engineer, Localization and Mapping

Cobot•Santa Clara, CA

43d•$205,000 - $225,000•Onsite

About The Position

Do you thrive on pushing the boundaries of how robots perceive and interact with their environments? At Cobot, we’re designing the technologies that make seamless human-robot collaboration possible — and we’re looking for a Senior Research Engineer, Localization and Mapping to help bring that vision to life. In this role, you’ll develop and refine the algorithms that give our robots spatial understanding — from real-time localization and mapping to multi-sensor fusion and calibration. You’ll collaborate closely with teams across perception, navigation, and systems engineering to ensure our robots operate with precision and reliability in complex, dynamic environments. You’ll have the opportunity to work at the intersection of cutting-edge research and real-world deployment — contributing directly to how Cobot’s robots learn, adapt, and move through the world. If you’re passionate about advancing the state of localization and mapping while helping shape the future of collaborative robotics, we’d love to hear from you. This role is located at our Santa Clara, CA headquarters.

Requirements

Bachelor’s degree in Computer Science or a related technical field.
5+ years of experience working within engineering teams.
Proficiency in C++ and Python, with a readiness to learn new languages or technologies.
Expert in localization, mapping, calibration, state estimation techniques (e.g., filtering techniques, graph optimization, factor graphs, bundle adjustment).
Experience implementing production-grade, high-reliability software on a robot or similar autonomous system.
Willing to occasionally travel.
Must have and maintain US work authorization.
Highly motivated teammate with excellent oral and written communication skills.
Enjoy working in a fast paced, collaborative and dynamic start-up environment as part of a small team.

Nice To Haves

Advanced degree (Master’s or PhD) in Computer Science, Robotics, or a related technical field.
Robust background in robotics.
Python experience preferred.
Experience with ROS, writing GPU/hardware accelerated algorithms.
Experience managing mapping and localization across fleets of robots.
Experience with multimodal sensor calibration and multimodal sensor algorithm development, sensor fusion.
Proven track record of manipulating and visualizing extensive datasets.
Familiar with sensor models.
Practical experience with simulation technologies.

Responsibilities

Architect and execute innovative strategies for mapping and localization.
Engineer cutting-edge on-device algorithms for real-time simultaneous localization and mapping (SLAM).