Algorithm & Analysis Engineer - Open Rank (Junior-Mid Level)-EOSL

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 and Values

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: 

1. Students are our top priority.
2. We strive for excellence.
3. We thrive on diversity.
4. We celebrate collaboration.
5. We champion innovation.
6. We safeguard freedom of inquiry and expression.
7. We nurture the wellbeing of our community.
8. We act ethically.
9. 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.

Project/Unit Description

The A&A Engineer will support research and development projects in the Electromagnetic Warfare and Survivability Modeling and Simulation (EWSMS) Division under GTRI’s Electro-Optical Systems Lab (EOSL). The EWSMS Division provides modeling, simulation, and analysis of platform and system effectiveness and survivability in one-on-one, few-on-few, and many-on-many scenarios, as well as comprehensive kill chain analysis.

Job Purpose

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 Algorithm & Analysis 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 Algorithm & Analysis 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.

Key Responsibilities

• Perform data cleaning and fundamental data analysis using existing tools with senior guidance
• Execute algorithm tests in accordance with limited direction from senior researchers
• Contribute to algorithm design discussions -
• Design and/or modify aspects of algorithm design and implementation
• Contribute to technical report execution
• Participate in sponsor discussions of program technical status and research results
• Accompany lead engineer to sponsor sites for meetings and analysis
• Accomplish specific technical and writing objectives for the development of conference presentations and journal publications
• Aid in literature searches

Additional Responsibilities

• Develop physics-based models representing EO/IR sensors and systems
• Develop and optimize detailed mathematical models representing missiles and other threats, aircraft, vehicle, and threat signatures, EO/IR atmospheric propagation, sensor optics, and detectors
• Create simulations and algorithm optimizations to support military threat warning systems
• Interface with high performance computing cluster to execute large-scale simulation analysis
• Travel to sponsor locations to support meetings and attend test events
• Perform other duties as assigned
• Ability to obtain and maintain a DOD Security Clearance

Required Minimum Qualifications

• Experience applying AI/ML approaches and concepts for real world problems
• Workplace experience with machine learning tools such as Tensorflow
• Experience with version control systems (Eg. Git) in a workplace environment
• Experience with Python, C/C++, or Matlab
• Experience with Linux

Preferred Qualifications

• Active TS/SCI Clearance
• Experience with the modeling and simulation of threat systems
• Experience supporting the