At Raise Robotics, we’re building robots that work where people shouldn’t. Our team has successfully deployed machines into real construction sites and factories. We’re now building our next generation platform to help build some of the largest structures in the world - think buildings, ships, energy generation plants, and more.

We’re looking for team members who enjoy touch technical challenges and want to make an impact. You’ll have the opportunity to travel to customer sites and see our machines working out in the real world.

For this role, we are seeking a Motion Planning Engineer who will develop models and algorithms to generate safe and reliable trajectories on the robot. You’ll be responsible for deciding appropriate technical approaches and architecture in addition to implementing and testing the onboard motion planning stack.

What we’re looking for:

• At least 3 years developing motion planning software in a professional setting.
• Expertise with classical motion planning for articulated robots, such as 6-DOF/7-DOF arms, legged robots, snake robots, or humanoid robots.
• Experience with motion planning for navigation in unstructured environments.
• Previous experience deploying robots to work in semi-structured and unstructured environments using perception.
• Experience developing machine learning models for trajectory generation using RL or IL.
• Familiarity using simulation tools such as Gazebo, Mujoco, or Isaac.

What you’ll do:

• Work with existing motion planning libraries and develop custom motion planning algorithms for mobile manipulation.
• Develop state of the art approaches to train and deploy imitation/reinforcement learning models for motion planning.
• Design and implement metrics for tracking performance and continuous improvement.
• Create testing processes in both software and hardware.

Raise Robotics is an Equal Opportunity Employer, committed to creating a diverse and inclusive company culture, and does not discriminate against candidates and employees because of their disability, sex, race, gender identity, sexual orientation, religion, national origin, age, veteran status, or any other protected status under the law.