PhD Applied Scientist: Multi-Robot Routing (Intern/Co-op)

Symbotic LLC

Wilmington (MA)

Hybrid

USD 72,000 - 74,000

Full time

5 days ago
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Benefits offered by this job

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Job summary

Symbotic is seeking an applied scientist intern with a passion for multi-agent planning to improve the performance and reliability of its systems. The Robot Routing team designs efficient, collision-free paths for dozens of robots across the transfer deck and explores deadlock resolution and time-space reservations.

This hybrid role is based at our Wilmington, MA headquarters, offering mentorship, projects, and opportunities to present findings at top conferences while contributing to real-world

Qualifications

  • Pursuing PhD in CS, EE, Mech, Robotics or 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 ML.
  • Publications at high-impact venues (e.g., CoRL, NeurIPS, ICML, ICRA, IJCAI).

Responsibilities

  • Identify high-impact scenarios where AI Planning and ML can optimize Symbotic robotics software.
  • Adapt state-of-the-art approaches or develop high-performance algorithms for multi-robot problems.
  • Conduct simulations and experiments to validate multi-robot algorithm performance.
  • Present results verbally and in writing, internally and at top-tier venues.

Skills

C++
Python
Java
C#
Robotics planning
Multi-robot systems
Machine learning

Education

Pursuing PhD in CS/EE/Mech/Robotics

Tools

Publications (Conferences/Journals)

Job description

Symbotic is seeking an applied scientist intern with a passion for multi-agent planning to improve the performance and reliability of its systems. The Robot Routing team designs efficient, collision-free paths for dozens of robots across the transfer deck and explores deadlock resolution and time-space reservations.

This hybrid role is based at our Wilmington, MA headquarters, offering mentorship, projects, and opportunities to present findings at top conferences while contributing to real-world

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