PhD Intern: Multi-Agent AI Planner for Robotics (Hybrid)

Symbotic; Wilmington (MA); Hybrid; USD 44,000 - 74,000; Full time

Benefits offered by this job

Housing benefits

Relocation support

Job summary

Symbotic invites PhD candidates to join as an Intern- PhD Applied Scientist, Routing, focusing on multi-agent planning to optimize robot routing and collision-free paths. Hybrid role based at our Wilmington, MA HQ, with summer 2027 collaboration.

The Intern will explore state-of-the-art AI planning, develop high-performance algorithms, and present results in internal forums and external venues, gaining hands-on experience in robotics and automation systems.

Qualifications

• Pursuing PhD in CS, EE, ME, Robotics or related field.
• Proficiency in C++, Python, Java or C#.
• Strong research background in combinatorial optimization, robotics planning, multi-robot systems or ML.
• Publications in high-impact venues (e.g., CoRL, NeurIPS, ICML, ICRA, IJCAI).

Responsibilities

• Identify high-impact AI Planning/machine learning applications for robotics software.
• Develop/adapt high-performance algorithms for multi-robot problems.
• Conduct simulations/experiments to validate multi-robot performance.
• Present results internally and at top-tier academic venues.

Skills

C++

Python

Java

C#

Education

Pursuing PhD in Computer Science / related field

Tools

ROS

Simulation tools

Job description

Symbotic invites PhD candidates to join as an Intern- PhD Applied Scientist, Routing, focusing on multi-agent planning to optimize robot routing and collision-free paths. Hybrid role based at our Wilmington, MA HQ, with summer 2027 collaboration.

The Intern will explore state-of-the-art AI planning, develop high-performance algorithms, and present results in internal forums and external venues, gaining hands-on experience in robotics and automation systems.