The Georgia Tech Research Institute (GTRI) is the nonprofit, applied research division of the Georgia Institute of Technology (Georgia Tech). Founded in 1934 as the Engineering Experiment Station, GTRI has grown to more than 2,900 employees, supporting eight laboratories in over 20 locations around the country and performing more than $940 million of problem-solving research annually for government and industry. GTRI's renowned researchers combine science, engineering, economics, policy, and technical expertise to solve complex problems for the U.S. federal government, state, and industry.
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The GTRI Robotics and Autonomous Systems Division is looking for Scientists and Engineers specializing in robotic algorithm development, field-testing, and dynamical systems control. You will be joining a growing robotics division primarily focused on the development of real-time algorithms for robotics applications, including but not limited to multi-robot collaboration, swarming, path planning, guidance, navigation, world-modeling, and task allocation for multi-domain (aerial, surface, sub-surface) robots.
A robotics engineer develops the hardware and/or software that enables electro-mechanical systems to perform a series of tasks with little or no human involvement. The robotics engineer can develop the mechanical mechanisms that form the robot, integrate sensors such as cameras and LIDAR systems into the system, or develop the algorithms to allow the robot or autonomous system to sense its environment, plan its actions, and then execute the plan. This position contributes to the fundamental and applied understanding of robotic and autonomous systems. The robotics researcher develops the advanced autonomous planning, coordination, perception and control algorithms that enable a mobile robot or team of robots to operate in dynamic environments. The engineer can also interface with perceptual, actuation, communication and other systems to enable the robot to sense, plan actions, coordinate actions according to mission plans and execute the plans. This position may incorporate a fundamental understanding of robotic control and path planning as well as an applied understanding of robotics systems.
- Perform signal processing tasks with more limited direction from supervisor.
- Develop expertise in specific areas.
- Contribute to white papers and proposals with supporting background or data analysis.
- Contribute to technical reports/presentations of projects, journal articles, and conference presentations.
- Develop and tune controllers for various systems in software suites like ArduPilot and ArduRover.
- Develop and tune filters for state estimation and sensor fusion.
- Determine system performance and develop solutions to undesirable performance characteristics.
- Develop tools to characterize and tune controller performance in the field.
- Perform rapid simulation development, prototyping, and field-testing.
- Generate research reports, publication, proposals, and briefs to our customers.
- Serve as technical lead on programs, driving the development and implementation of novel engineering solutions.
- Provide technical guidance and mentorship to junior research faculty.
- Excellent written and verbal communication skills.
- The ideal candidate will have hands-on experience with state-of-the-art algorithms on real-world mobile robot systems, including field test experimentation or robotic competitions.
- Experience with C++, Python, ROS, Linux, and/or robotic simulation engines like Gazebo and SCRIMMAGE.
- Active Secret Clearance.
- A strong history of publication or hardware-implementation of advanced algorithms demonstrating the ability to perform independent research is desired.
- Experience with fast prototyping in MATLAB and/or Python as well as transitioning and deploying these algorithms into C++ for real-time operation on a robot in real-world environments.
- Experience in one or more of the following is desirable:
o Multi robot teams
o Path planning and navigation
o Behavior-based robotics
o Optimal control and estimation
o Machine learning for robotic control.
This position vacancy is an open-rank announcement. The final job offer will be dependent on candidate qualifications in alignment with Research Faculty Extension Professional ranks as outlined in section 3.2.1 of the Georgia Tech Faculty Handbook
- 2-5 years of related experience with a Bachelor’s degree in Robotics, Electrical Engineering, Computer Engineering, Computer Science, Systems Engineering, Aerospace Engineering, Mathematics, Physics, or any related field.
- 0-3 years of related experience with a Masters’ degree in Robotics, Electrical Engineering, Computer Engineering, Computer Science, Systems Engineering, Aerospace Engineering, Mathematics, Physics, or any related field.
- 0 years of related experience with a Ph.D. in Robotics, Electrical Engineering, Computer Engineering, Computer Science, Systems Engineering, Aerospace Engineering, Mathematics, Physics, or any related field.
Due to our research contracts with the U.S. federal government, candidates for this position must be U.S. Citizens.
Candidates must be able to obtain and maintain an active security clearance.
Comprehensive information on currently offered GTRI benefits, including Health & Welfare, Retirement Plans, Tuition Reimbursement, Time Off, and Professional Development, can be found through this link: https://benefits.hr.gatech.edu/.
The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The Institute is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and Institute policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities.
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