PhD Intern - Applied Scientist, Routing

We want to learn from you! Our teams at Symbotic value the early career talent that helps us solve critical issues in creative and innovative ways. That is why we offer Internship and Co-op programs where students have the opportunity to work alongside industry professionals on some of our most pivotal projects. We invite students from institutions across the country to apply online or engage with our teams on campus at career fairs and other events. Symbotic offers an extensive calendar of events including Lunch and Learns, Social Outings, and Volunteer opportunities for our Interns and Co-ops to engage in.  

The Summer Intern session is a 12-week, full-time (40 hours Monday-Friday) program while the Co-op cohorts typically run 16-weeks in the Spring and Fall. In both programs, students are paid a competitive hourly rate. Continue reading to learn more about this exciting opportunity! 

What we need

Symbotic is looking for an applied scientist intern with a passion for multi-agent planning to improve the performance and reliability of our systems as we rapidly scale our product and organization. The Robot Routing team plans highly efficient, collision-free paths between the storage structure and the inbound/outbound cells of our system for dozens of robots traversing the transfer deck. The right candidate is excited about concepts like deadlock resolution and time-space reservations. This is a hybrid position based at our headquarters in Wilmington, MA.

What you’ll do

• 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.

What you’ll need

• Pursuing PhD or M.Sc in Computer Science, Electrical Engineering, Mechanical Engineering, Robotics, or a related field.

• Proficiency in one or more general-purpose programming languages: C++, Python, Java, or C#.

• 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.

Our Environment

• 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.

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