Research Engineer III - Teamed Autonomy

Texas A&M • Bryan, TX

10d • Onsite

About The Position

The Research Engineer - Teamed Autonomy independently applies advanced knowledge of scientific research or engineering principles and practices in broad areas of assignments and related fields at the George H.W. Bush Combat Development Complex (BCDC). The Coordinated Air-Ground Vehicle Maneuvering team at BCDC is investigating air-ground cooperative autonomy to extend the sensing capabilities and leverage heterogeneous fleet resources. This research aids in the understanding and development of methods and technologies that advance future unmanned air, ground, and maritime vehicle systems operating in unstructured environments. The goal is to help facilitate effective intelligent vehicle interactions with service members to foster the trust essential to forming efficient teams. Successful, intelligent vehicles will increase unit capabilities, situational awareness, mobility, and speed of action. The research team regularly demonstrates the developing technologies that enable coordinated movement, via shared situational awareness with our heterogeneous multi-vehicle fleet in the diverse off-road terrain at the RELLIS campus.

Requirements

• Bachelor’s degree in engineering or equivalent combination of education and experience.
• Four years of relevant experience.
• Experience working in Linux operating systems environments.
• Experience with software development in Python or C++.
• Must be able to gain and maintain a DoD (Department of Defense) security clearance.
• Excellent communication skills with the ability to convey technical information clearly and effectively through informal and formal documents, reports, and presentations to senior management.
• Strong technical writing skills.
• Highly collaborative and able to work in a team-based environment.
• Familiarity with principles of Agile project management and technology development.
• Ability to multi-task and work cooperatively with others.
• This is a security-sensitive position and is restricted to U.S. citizens only.

Responsibilities

• Designs and implements algorithms and accompanying documentation to augment autonomous vehicle behaviors.
• Produces efficient code subject to computational resources to function in real-time systems.
• Tests and deploys programs, applications, and ROS nodes in simulation and on hardware platforms.
• Troubleshoots, debugs, maintains, and improves existing software and algorithms.
• Develops technical documentation to aid future project developments.
• Performs system hardware integration and tuning to support field-testing needs.
• Contributes to real-world experiment designs and corresponding metrics to test capability enhancements of complex multi-agent systems.
• Participates in demonstrations to stakeholders, reviews and evaluates results, and establishes conclusions based on capability performance.
• Generates system requirements based on field testing and demonstration results.
• Collaborates with faculty, research engineers and stakeholders to identify end-user requirements and specifications.
• Significant contributions to in technical reports and presentations and presents results of research projects to internal and external stakeholders.
• Participates in team research activities. Creates opportunities to enhance technical methodology or content through expansion of existing, or development of, new efforts; may extend technology into new application areas; contributes or leads in major intellectual development activities.
• Other duties as assigned.

Benefits

• 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
• wellness programs to promote work/life balance

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees