Lead Research Engineer, Multi-Agent Autonomy

Tamus; Bryan (TX); On-site; USD 63,000 - 107,000; Full time

Job summary

Texas A&M University System Offices seeks a Research Engineer IV in Bryan, TX to lead multi-agent autonomy software across diverse platforms, including UGVs/UAVs. The role emphasizes designing core autonomy stacks, embedded hardware performance, and ROS2 integration.

You will mentor staff, contribute to field demos at the RELLIS campus, and translate research goals into concrete software roadmaps while ensuring robust system operation under demanding environments.

Qualifications

• Six years of related experience.
• Experience designing and implementing multi-agent coordination or path-planning frameworks.
• Experience trading off hardware (sensors/compute) vs sensor fusion strategies.
• Must be able to obtain a U.S. Department of War Security Clearance.

Responsibilities

• Designs, implements, and optimizes complex software architectures for multi-agent coordination.
• Generates prototype code and innovative algorithmic concepts to accelerate development cycles.
• Produces high-performance, efficient code (Python/C++) for embedded hardware and ROS2.
• Develops perception and navigation stacks for diverse platforms (UTVs, UGVs, UAVs, helicopters).
• Leads troubleshooting and debugging of high-level system failures.
• Directs development of multi-level simulation environments for validation and field deployment.
• Leads selection of sensing and compute hardware, balancing performance with cost.
• Leads ROS2 integration across heterogeneous assets and field deployment.
• Mentors junior staff through code reviews and field operations.
• Translates high-level goals into actionable software roadmaps.

Skills

ROS2

C++

Python

Linux

DDS/ZeroMQ

Sensor Fusion

Debugging

Mentoring

Education

Bachelor's degree in Engineering, Science or related field

Tools

ROS2

DDS

Zenoh

ZeroMQ

Job description

Texas A&M University System Offices seeks a Research Engineer IV in Bryan, TX to lead multi-agent autonomy software across diverse platforms, including UGVs/UAVs. The role emphasizes designing core autonomy stacks, embedded hardware performance, and ROS2 integration.

You will mentor staff, contribute to field demos at the RELLIS campus, and translate research goals into concrete software roadmaps while ensuring robust system operation under demanding environments.