Research Engineer III

Job Description

The System Offices is one of several system members within the Texas A&M University System representing one of the largest systems of higher education in the nation, with a network of 12 universities, a comprehensive health science center, nine state agencies, and the RELLIS Campus. The Texas A&M University System mission is to provide education, conduct research, commercialize technology, offer training, and deliver services for the people of Texas and beyond.

Research Engineer III

Texas A&M University System Offices

Bush Combat Development Complex

Commensurate

Bryan, Texas

Staff

The System Offices, within the Texas A&M University System, provides an outstanding benefits package including, but not limited to: competitive health benefits; paid vacation, sick leave, and holidays; a defined benefit retirement plan to include an employer contribution through Teachers Retirement System of Texas (TRS); if applicable, a defined contribution retirement plan to include an employer contribution through an approved ORP vendor: additional voluntary tax deferred annuity (TDA) options;

tuition assistance; and wellness programs to promote work/life balance.

$5,084.33 - $9,166.67 per month commensurate with experience.

The Research Engineer III independently applies advanced engineering principles to design and implement the core algorithms and software architectures that power our multi-agent systems. At the George H.W. Bush Combat Development Complex (BCDC), the Research Engineer for Multi-Agent Autonomy develops next-generation autonomous systems that enable coordinated, heterogeneous fleets to operate in complex, unstructured environments. This research focuses on the integration of diverse platforms, ranging from tactical UTVs and military-grade UGVs to unmanned air vehicles (UAVs) and autonomous helicopters.

We aim to solve the fundamental challenges of multi-agent coordination and shared situational awareness, fostering the human-agent teaming essential for future mission success. By bridging the gap between sophisticated algorithms and real-world application, our team develops technologies that significantly enhance unit capabilities, mobility, and speed of action. We translate theoretical breakthroughs into field-demonstrated reality through System Experimentation and Field Testing using our multi-vehicle fleet in the diverse off-road terrain of the RELLIS campus.

• Designs, implements, and maintains software modules for multi-agent coordination, including task allocation, decentralized path planning, and coordinated multi-vehicle behaviors.
• Produces efficient code (Python/C++) subject to computational and resource constraints to function effectively on embedded hardware and within ROS2 middleware.
• Implements communication protocols and data-sharing architectures to support shared situational awareness across heterogeneous air and ground assets.
• Optimizes perception and navigation stacks for reliable operation across diverse hardware platforms (e.g., tactical UTVs, military-grade UGVs, and UAVs).
• Troubleshoots, debugs, maintains, and improves existing software and algorithms within the BCDC autonomy stacks.
• Develops and utilizes multi-level simulation environments to validate multi-agent strategies and algorithmic performance prior to field deployment.
• Conducts hardware exploration and sensor selection (e.g., LiDAR, cameras, Radar, GNSS) to define perception systems tailored to specific project and algorithmic requirements.
• Performs hands-on system hardware integration and tuning for perception, navigation, and coordination subsystems, ensuring hardware-software synergy.
• Tests and deploys programs, applications, and ROS2 nodes in simulation and on physical hardware platforms.
• Contributes to the development of software-hardware interfaces for new platforms, including autonomous helicopters and robotic ground vehicles.
• Independently designs real-world experiment protocols and corresponding metrics to evaluate the performance of complex multi-agent systems in unstructured…