Lead Research Engineer – Multi-Agent Autonomy

Texas A&M University System; Bryan (TX); On-site; USD 63,243 - 106,946; Full time

Benefits offered by this job

Competitive health benefits

Paid vacation and sick leave

Tuition assistance

Wellness programs

Job summary

Texas A&M University System in Bryan, Texas is seeking a Research Engineer IV to serve as a lead technical contributor designing and implementing core autonomous behaviors. The ideal candidate will develop next-generation autonomous systems that enable coordinated fleets in complex environments. This role requires a Bachelor's in Engineering or Science, with at least six years of related experience.

Expect a dynamic work environment with a comprehensive benefits package including health plans, retirement options, and tuition assistance. Join us to advance the field of multi-agent autonomy!

Qualifications

• 6+ years of related experience in multi-agent coordination or path-planning.
• Ability to obtain U.S. Department of War Security Clearance.

Responsibilities

• Design and implement complex software architectures for multi-agent coordination.
• Mentor junior staff through collaborative development and code reviews.
• Lead the integration and deployment of ROS2 nodes across air and ground assets.

Skills

ROS2

C++

Python

System-Level Debugging

Technical Writing

Communication

Education

Bachelor's degree in Engineering, Science or related field

Tools

Linux

DDS Zenoh

ZeroMQ

Job description

Texas A&M University System in Bryan, Texas is seeking a Research Engineer IV to serve as a lead technical contributor designing and implementing core autonomous behaviors. The ideal candidate will develop next-generation autonomous systems that enable coordinated fleets in complex environments. This role requires a Bachelor's in Engineering or Science, with at least six years of related experience.

Expect a dynamic work environment with a comprehensive benefits package including health plans, retirement options, and tuition assistance. Join us to advance the field of multi-agent autonomy!