Research Engineer IV
Role Overview
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.
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.
Key Skills for This Role
Full Job Posting
Responsibilities:
- Designs, implements, and optimizes complex software architectures for multi-agent coordination, serving as a primary contributor to the BCDC autonomy stacks.
- Generates prototype code and innovative algorithmic concepts to accelerate development cycles, providing technical breakthroughs to overcome project bottlenecks.
- Produces high-performance, efficient code (Python/C++) subject to computational and resource constraints for reliable operation on embedded hardware and within ROS2 middleware.
- Actively develops and refines perception and navigation stacks for a diverse fleet, including tactical UTVs, military-grade UGVs, UAVs, and autonomous helicopters.
- Leads hands-on troubleshooting and debugging of high-level system failures, maintaining the stability and integrity of integrated autonomy systems.
- Directs and participates in the development of multi-level simulation environments to validate algorithmic performance and bridge the gap to field deployment.
- Leads the exploration and selection of sensing and compute hardware, conducting trade studies to balance State-of-the-Art (SOTA) performance with economical sensor fusion strategies.
- Leads the hands-on integration and deployment of ROS2 nodes across heterogeneous air and ground assets, ensuring seamless hardware-software interoperability.
- Actively performs system hardware integration and tuning for new platforms, ensuring the reliability of perception and navigation subsystems in the field.
- Provides technical leadership during System Experimentation and Field Testing at the RELLIS campus, directly participating in the setup, execution, and evaluation of large-scale demonstrations.
- Mentors junior research staff through collaborative development, code reviews, and shared field operations, fostering technical growth and consistency across the team.
- Translates high-level research goals and guidance from senior staff into actionable technical roadmaps and software specifications.
- Collaborates with faculty and senior staff to align development efforts with project milestones, ensuring the continuous injection of new ideas into the research pipeline.
- Leads the generation of technical reports, presentations, and peer-reviewed publications, identifying opportunities to extend current technology.
Education and Experience:
- Bachelor's degree in Engineering, Science or related field or 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 (sensors/compute) and sensor fusion strategies.
- Registration, Certifications, and Licenses:
- Must be able to obtain a U.S. Department of War Security Clearance.
- Knowledge, Skills, and Abilities:
- Advanced proficiency in ROS2, C++ and Python for system-level integration.
- Ability to evaluate or optimize distributed communication middleware (e.g., DDS Zenoh, ZeroMQ) for agent-to-agent messaging in constrained environments.
- Strong 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.
- Excellent communication skills with the ability to convey technical information to senior management and external stakeholders.
- Superior technical writing and documentation skills.
- Capability to translate high-level mission requirements into actionable technical tasks.
- Ability to multi-task and work cooperatively with others.
- Other Requirements:
- This is a security-sensitive position and is restricted to U.S. citizens only. Only complete applications will be considered for employment at The Texas A&M System Offices. Incomplete job application data could result in your application being rejected without an option to reapply. A cover letter and resume may be required in addition to a completed employment application.
- All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution’s verification of credentials and/or other information required by the institution’s procedures, including the completion of the criminal history check.
- Equal Opportunity/Veterans/Disability Employer.
About Texas A&M University System
A statewide public university system serving the state of Texas.
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