Bell Labs Robotics Research Intern

Position: Bell Labs Robotics Research Summer Internship
Number of Positions(s): 3
Duration: 10 weeks
Date: Jun-Aug 2025
Location: Onsite, Murray Hill, NJ.

You will be doing cutting-edge and exciting work in a passionate, cross-disciplinary, and collaborative team. You will build your ideas from the drawing board and drive towards bringing them to the final product by building prototypes. Candidates with a passion for and skills related to communication, perception, planning, and control in drones and/or ground robots are invited to apply.

EDUCATIONAL RECOMMENDATIONS

Currently a candidate for a  Ph.D, Master’s, Bachelor’s degree, or diploma in Computer Science, Electrical Engineering, Mechanical Engineering, Mathematics, or a related field within an accredited school in the US.

As a part of our team, you will: 

• Implement large-scale distributed and networked software systems.
• Invent and implement new robotic algorithms and integrate them with the existing code base.
• Design, develop, and deploy network and server infrastructure for Industry 4.0 machine control.
• Create technologies with potential of becoming a future business for the company.

While software is a predominant aspect of the systems we are building, the candidate must be a versatile person that understands the hardware concepts (electronics and mechanics) relevant for robotics and can perform hands-on work in that area when needed. A good understanding of relevant mathematical concepts is an absolute must.

Candidates should possess a subset of the following skills either through previous employment experience or through university academic research:

• Strong knowledge of networking, system software, operating systems, and distributed systems.
• Strong software development skills in Python, C/C++, Golang, shell scripting, and Git.
• Strong mathematical background relevant to robot control, navigation, localization, vision, etc.
• Ability to develop and debug the system across all layers of hardware and software

It would be nice if you also had:

• Can work in the “gray zone” when there is uncertainty or lack of clarity. 
• Very comfortable with innovation risk-taking