Senior Software Engineer, Localization and Mapping
1 day ago
Are you passionate about developing cutting-edge SLAM algorithms for autonomous robots? Do you thrive on iterative research and development of localization and mapping algorithms for autonomous motion? Is your expertise centered around crafting robust on-robot software that drives autonomy and reliability?
At Collaborative Robotics, the development of on-robot software is at the core of our mission to create highly reliable, fully autonomous, and collaborative robots. As a Sr. Software Engineer in Localization and Mapping, you will play a crucial role in enhancing our current software stack and driving the design and implementation of next-generation robotic capabilities.
Collaborative Robotics is a team of innovators and builders redefining the future of human-robot interaction. We are working to realize a world where robots are a trusted extension of your surroundings. They work, adapt, and react around you. Not the other way around.
This role is located at our Santa Clara, CA headquarters.
Key Responsibilities:
- Develop SLAM algorithms for an indoor mobile robot.
- Enhance mapping capability for long-term autonomous operation.
- Expand mapping capability to support large floor plans including multi-floor buildings.
- Implement, debug, test, and maintain SLAM software.
- Develop sensor calibration techniques for both end-of-line and live updates.
- Root cause localization failures and bugs and use learnings to improve software and SLAM validation.
- Create reliable robotic system performance through robust algorithm development, success measurement, and recovery actions.
Minimum Qualifications:
- M.S. in computer science, robotics, electrical or other engineering disciplines.
- 6+ years of full-time work experience, or 4+ years with PhD, on industry engineering teams.
- Proficient in state estimation, visual-inertial odometry, visual SLAM, and multiple view geometry.
- Experience with EKF, pose graph optimization and bundle adjustment.
- Experience writing production level code in C++.
- Strong 3D geometry fundamentals.
- Knowledge of Lidar-based SLAM and point-clouds.
- 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.
- Willing to occasionally travel.
- Must have and maintain US work authorization.
Preferred Qualifications:
- Ph.D. in computer science, robotics, electrical or other engineering disciplines.
- Experience developing SLAM on an indoor mobile robot.
- Experience with ROS2.
- Knowledge of python.
- Experience with sensor calibration.
- Experience with Nvidia Jetson platforms including CPU programming.
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