Applied Research Engineer: Motion Planning

Role

As a researcher in robotics/AI, you will have the opportunity to join our R&D team working on novel robotics capabilities that have impact in real world applications. You will work alongside a team of researchers and engineers developing novel machine learning, reinforcement learning, and foundation models for AI-enabled robotics capabilities in the areas of robot manipulation, robot perception, and robot motion planning. With the broader engineering team and industrial partners, your work will bring promising prototypes to real world, practical, applications. Our team works closely with researchers at Google DeepMind Robotics, Universities, and other research labs to bring solutions to the real world. You should be excited to work with new technologies as you discover creative solutions to new meaningful problems applying AI in robotics.

How your work moves the mission forward

• Develop new motion planning approaches for single and multi-robot planning, starting from existing prototypes.
• Exploit advances in machine learning (e.g,. graph nets, deep-learning, transformer models, etc.) for developing novel data-driven motion planning systems.
• Implement state of the art algorithms and libraries in Python, C++, and Jax.
• Bring problems from industrial partners to functional new solutions with very high reliability and performance.
• Distill recent robotics/ML research publications for target problems and implement promising solutions.

Skills you will need to be successful

• Masters in Computer Science, Robotics or equivalent with practical experience in robotics and machine learning.
• Be knowledgeable and comfortable in working with physical simulations (e.g., Gazebo, Bullet, MuJoCo, IsaacSim, etc.) to implement motion planning/machine learning algorithms.
• At least 2 years of experience in one or more of: motion planning for robotics, classical robot motion planning (e.g., RRTs, PRMs), machine learning/deep learning
• Solid Experience programming in C++, Python, and ideally Jax. 
• Must have research experience in a related field and at least one high-quality publication in a peer-reviewed academic journal/conference

Skills that will differentiate your candidacy

• PhD in Robotics, Computer Science or a similar technical field.
• Experience with the design and implementation of large, complex machine learning algorithms with large amounts of data and highly parallelized algorithms.
• 4 years of applied experience in machine learning for robotics motion planning.
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