Robotics Software Engineer, Collaborative Robots

• Are you passionate about developing cutting-edge algorithms for autonomous robots? Do you thrive on iterative research and development of robot algorithms for autonomous motion?
• Is your expertise centered around crafting robust on-robot software that drives autonomy and reliability?
• Bachelor’s degree in Computer Science or a related technical field
• 2+ years of full-time work experience in Industry engineering teams
• Experience implementing production-grade, high-reliability softwares
• Experience with C++ and Python
• Proficiency in a core autonomous mobile robot technology such as path planning, navigation, or obstacle avoidance
• 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

Desirable

• 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 Software Engineer in Robotics, 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
• Develop on-robot algorithms for autonomous behaviors such as navigation and path planning
• Push the envelope on what current state of the art sensors can do through advanced algorithm development
• Implement, debug, test and maintain on-robot software features
• Root cause software failures and bugs and use learnings to improve process and testing
• Write software across the full-stack on-robot to enable new capabilities
• Create reliable robotic system performance through robust algorithm development, success measurement, and recovery actions