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Texas A&M University System

Texas public university system

Research Engineer 4

Robotics & Autonomous SystemsConfirmed live in the last 24 hours
Full-timeBryan, TX, USA$5.7k - $9.6k /mo

About the Job

Requirements

  • A 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 technical trade-off studies between hardware, including sensors and compute, and sensor fusion strategies.
  • Must be able to obtain a U.S. Department of War Security Clearance.
  • Advanced proficiency in ROS2, C++, and Python for system-level integration.
  • Ability to evaluate or optimize distributed communication middleware, such as DDS Zenoh and ZeroMQ, for agent-to-agent messaging in constrained environments.
  • Ability to perform complex systems-level debugging and root-cause analysis on physical hardware.
  • Capacity to mentor research staff and lead technical sub-projects within a high-velocity team.
  • Working knowledge of Linux system configuration, networking for multi-platform fleets, and sensor driver integration.
  • Ability to convey technical information to senior management and external stakeholders.
  • Technical writing and documentation skills.
  • Capability to translate high-level mission requirements into actionable technical tasks.
  • Ability to multitask and work cooperatively with others.
  • This security-sensitive position is restricted to U.S. citizens only.

Responsibilities

  • Design, implement, and optimize complex software architectures for multi-agent coordination, serving as a primary contributor to the BCDC autonomy stacks.
  • Generate prototype code and innovative algorithmic concepts to accelerate development cycles and address project bottlenecks.
  • Produce high-performance, efficient Python and C++ code subject to computational and resource constraints for reliable operation on embedded hardware and within ROS2 middleware.
  • Develop and refine perception and navigation stacks for a diverse fleet, including tactical UTVs, military-grade UGVs, UAVs, and autonomous helicopters.
  • Lead hands-on troubleshooting and debugging of high-level system failures, maintaining the stability and integrity of integrated autonomy systems.
  • Direct and participate in developing multi-level simulation environments to validate algorithmic performance and bridge the gap to field deployment.
  • Explore and select sensing and compute hardware, conducting trade studies to balance state-of-the-art performance with economical sensor fusion strategies.
  • Lead hands-on integration and deployment of ROS2 nodes across heterogeneous air and ground assets, ensuring hardware-software interoperability.
  • Perform system hardware integration and tuning for new platforms to ensure the reliability of perception and navigation subsystems in the field.
  • Provide technical leadership during System Experimentation and Field Testing at the RELLIS campus, participating in setup, execution, and evaluation of large-scale demonstrations.
  • Mentor junior research staff through collaborative development, code reviews, and shared field operations.
  • Translate high-level research goals and guidance from senior staff into actionable technical roadmaps and software specifications.
  • Collaborate with faculty and senior staff to align development efforts with project milestones and bring new ideas into the research pipeline.
  • Lead the generation of technical reports, presentations, and peer-reviewed publications, identifying opportunities to extend current technology.

About the Company

Texas A&M University System

Texas public university system

Texas A&M University System is a statewide public university system combining higher education, research, and public-service agencies. The system coordinates universities and state agencies that deliver teaching, research, extension, engineering, health, and community programs. It serves students, faculty, researchers, public agencies, industries, and communities throughout Texas. Its operating model centers on autonomous member institutions connected through system governance, shared services, public funding, and statewide missions. Teams work across instruction, research, healthcare, extension, engineering, technology, administration, facilities, and public service. Teams support coordinated daily delivery.

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