6 months ago
Bryan, TX, USAStaff+

Responsibilities

  • Design, implement, and optimize software architectures for multi-agent coordination within autonomy stacks.
  • Develop prototype algorithms and high-performance C++ and Python code for embedded hardware and ROS2 middleware.
  • Develop perception and navigation stacks for tactical UTVs, UGVs, UAVs, and autonomous helicopters.
  • Troubleshoot and debug high-level autonomy system failures and conduct systems-level root-cause analysis.
  • Develop multi-level simulation environments and validate algorithms for field deployment.
  • Lead sensing and compute hardware trade studies and evaluate sensor fusion strategies.
  • Integrate and deploy ROS2 nodes across heterogeneous air and ground platforms.
  • Perform hardware integration and tuning for perception and navigation subsystems.
  • Provide technical leadership during system experimentation and field testing at the RELLIS campus.
  • Mentor junior research staff through collaborative development, code reviews, and field operations.
  • Translate research goals into technical roadmaps and software specifications.
  • Collaborate with faculty and senior staff on project milestones and research development.
  • Lead technical reports, presentations, and peer-reviewed publications.

Requirements

  • Bachelor's degree in engineering, science, or a related field, or an equivalent combination of education and experience.
  • Six years of related experience.
  • Experience designing and implementing multi-agent coordination or path-planning frameworks.
  • Experience conducting hardware and sensor-fusion trade-off studies.
  • Advanced proficiency in ROS2, C++, and Python.
  • Ability to evaluate or optimize distributed communication middleware such as DDS Zenoh and ZeroMQ.
  • Strong systems-level debugging and root-cause analysis skills on physical hardware.
  • Ability to mentor research staff and lead technical sub-projects.
  • Working knowledge of Linux system configuration, multi-platform fleet networking, and sensor driver integration.
  • Strong communication, technical writing, documentation, and task-planning skills.
  • Must be able to obtain a U.S. Department of War Security Clearance.
  • Must be a U.S. citizen.

Benefits

  • Competitive health benefits, paid vacation, sick leave, and holidays.
  • Defined benefit retirement plan with employer contributions through the Teachers Retirement System of Texas.
  • Potential defined contribution retirement plan with employer contributions through an approved ORP vendor.
  • Additional voluntary tax-deferred annuity options, tuition assistance, and wellness programs.
  • On-site field experimentation and testing at the RELLIS campus in Bryan, Texas.

Tech Stack

Categories

EmbeddedRobotics
The Texas A&M University System

About The Texas A&M University System

201-500 employees

The Texas A&M University System is a public higher-education and research system that operates 12 universities, a comprehensive health science center, eight state agencies, Texas A&M–Fort Worth, and the RELLIS Campus. It educates students, conducts research, commercializes technology, and delivers extension and public-service programs across Texas, funded by state appropriations, tuition, grants, and contracts. Headquartered in the Bryan–College Station area, the System coordinates systemwide services and shared infrastructure through its System Offices.

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