Modeling, Simulation, and Analysis Engineer

Leidos•Beavercreek, OH

20h•Onsite

About The Position

The Leidos Non-Kinetic Effects Business Area is seeking a Modeling, Simulation, and Analysis Engineer to join a high-performance team conducting applied research and development in electro-optical (EO) technology. The role is primarily on-site at Wright Patterson AFB in Dayton, Ohio. The engineer will develop, interpret, and integrate algorithms into high-fidelity simulation models and use and analyze data from EO/IR systems and instrumentation to support U.S. Air Force program objectives. The position involves applying signal and image processing, developing and validating simulation models and algorithms, accelerating MATLAB and C++ code using GPU clusters, and analyzing test data and synthetic data. The engineer will also plan technical approaches, create test plans and reports, communicate with team members and customers, and mentor staff in areas of expertise.

Requirements

Bachelor’s degree in Engineering, Physics, Applied Math, Electrical Engineering, or a similar field, and 4 or more years of relevant experience.
Must be a U.S. citizen and able to obtain and maintain a Top Secret clearance.
Strong understanding of MATLAB and SIMULINK.
Familiarity with object-oriented programming.
Understanding of signal and image processing techniques.
Knowledge of scientific analysis, statistics, and mathematical methodologies.
Strong written and verbal communication skills.
Leadership, project management, presentation, and collaboration skills.

Nice To Haves

Active DoD Secret or higher clearance.
Master’s or doctoral degree in a listed field.
Experience with programming languages such as Python, C/C++, or Java.
Experience with EO/IR systems.
Experience with infrared focal plane arrays, including digital/digital pixel focal plane arrays.
Experience working in a research and development environment.
Familiarity with GPU and CUDA programming.
Experience using a GPU cluster.
Experience with Linux.

Responsibilities

Apply signal and image processing methods to analyze data and solve problems, including automating data analysis, characterizing sensor systems, and developing improved analysis techniques.
Develop, integrate, and test simulation models and algorithms.
Use GPU clusters to accelerate MATLAB and C++ codebases.
Perform modeling and simulation using off-the-shelf and custom-developed tools.
Develop test scenarios, make predictions, and review and analyze post-run data to identify root causes and trends.
Verify and validate models and algorithms within high-fidelity simulations.
Analyze, evaluate, and plan approaches and organize resources to solve complex technical problems.
Develop synthetic data for algorithm tradespace analysis.
Apply statistical methods to ensure results are complete and accurate.
Develop test plans and document results in test reports.
Communicate with team members and customers to determine requirements and relevant technical approaches.
Mentor staff in areas of expertise.