Algorithm & Analysis Engineer; Mid Level - SEAL - Colorado Springs

Overview:

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.

Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do:

• Students are our top priority.
• We strive for excellence.
• We thrive on diversity.
• We celebrate collaboration.
• We champion innovation.
• We safeguard freedom of inquiry and expression.
• We nurture the wellbeing of our community.
• We act ethically.
• We are responsible stewards.

Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact.

The Sensors and Electromagnetic Applications Laboratory (SEAL) at the Georgia Tech Research Institute (GTRI) in Colorado Springs, CO, is seeking engineers and scientists with expertise in aerospace applications. The role involves applying advanced algorithms to address complex challenges in orbital mechanics, spacecraft reachability, and guidance, navigation, and control (GNC). Candidates should have a strong background in aerospace dynamics, sensor fusion, and optimal control, with a focus on designing, analyzing, optimizing, and implementing algorithms for Space Domain Awareness (SDA).

This position bridges the gap between theoretical algorithm development and practical application, emphasizing experimentation, software/hardware integration, and system performance evaluation. Candidates will work from and report to the GTRI field office in Colorado Springs, CO.

The Algorithm & Analysis Engineer is responsible for the development and support of state‑of‑the‑art algorithms involving data fusion, sensor fusion, machine learning, manned/unmanned avionics improvement programs, and genetic programming. The Engineer focuses on the design, analysis, software/hardware implementation, optimization, profiling, and experimental evaluation of computer algorithms, bridging the gap between algorithm theory and practical applications of algorithms in software engineering. Additionally, the Engineer conducts statistical analysis of multi‑modal and time‑varying data to characterize and quantify system qualities and deficiencies, resulting in recommendations and development of improvements.

• Perform data cleaning and fundamental data analysis, with guidance only as needed, generating new tools with significant reusability.
• Design and execute algorithm tests with limited oversight.
• Serve in a leading role in algorithm design discussions for defined portions of programs.
• Design larger portions of algorithms and testing with minimal oversight.
• Lead sections of technical report execution.
• Lead discussions with sponsors for large portions of research.
• Work with independence at sponsor sites under guidance of technical leads.
• Materially contribute to discussions for technical journal articles and conference presentations.
• Conduct literature searches related to research focus areas.
• Mentor student researchers and facilitate their technical development and tasking.

• Develop cutting‑edge algorithms for orbital maneuvering, trajectory optimization, reachability analysis, and sensor fusion.
• Evaluate the…