Symbotic is looking to improve the performance and reliability of its AI-powered robotic technology platform used in supply chain automation by optimizing warehouse operations.
Requirements
- Proficiency in one or more general-purpose programming languages: C++, Python, Java, or C-Sharp.
- Strong research background in combinatorial optimization, Robotics planning, multi-robot, systems, or machine learning.
- Publications at high-impact conferences/journals (e.g., CoRL, ICLR, NeurIPS, ICML, ICLR, RSS, ICRA, IROS, RAL, AAAI, ICAPS, IJCAI, JAIR, etc.) on some of the aforementioned topics.
Responsibilities
- Identify high-impact scenarios where AI Planning and machine learning can be applied to optimize the Symbotic robotics software.
- Adapt state-of-the-art approaches or develop high-performance algorithms to solve real-world multi-robot problems.
- Conduct simulations and experiments to validate the performance of the multi-robot algorithms.
- Present results in verbal and written communications internally, and in top-tier academic venues.
Other
- Pursuing PhD or M.Sc in Computer Science, Electrical Engineering, Mechanical Engineering, Robotics, or a related field.
- Up to 10% of travel may be required.
- Employees must have a valid driver’s license and the ability to drive and/or fly to client and other customer locations.
- The employee is responsible for owning a credit card and managing expenses personally to be reimbursed on a bi-weekly basis.
