Radiance Technologies, a rapidly growing, employee-owned company supporting Department of Defense (DoD) modeling, simulation, and analysis (MSandA) of defensive systems, is searching for a talented Modeling, Simulation, and Analysis Engineer to join our development team. The candidate will use tools developed in C++, Python, and the Advanced Framework for Simulation, Integration, and Modeling (AFSIM) environment to support the design, development, and testing of High Energy Laser (HEL) weapon systems for United States Air Force and Army customers. Activities may support analysis and trade studies of individual subsystem components, assessment of performance and effectiveness of multiple systems, recommendations for the employment of multiple systems, and MSandA support to live-fire tests of prototype or fielded systems. Duties will include coordination across multiple teams for analysis planning, execution, and regular reporting of emerging and final MSandA results that will be delivered to senior management and DoD customers. Required Skills: Masters Degree in Electrical Engineering, Software Engineering, Physics, Statistics, Mathematics, Computer Science, Mechanical Engineering, Aerospace Engineering, or another relevant technical field Active Secret with the ability to obtain TS/SCI Desired Qualifications: Doctoral Degree in Electrical Engineering, Software Engineering, Physics, Operations Research, Statistics, Mathematics, Computer Science, Mechanical Engineering, Aerospace Engineering, or another relevant technical field Experience with battle management and layered defense Experience using multiple analysis techniques from science, engineering, mathematics, statistics, or operations research to support DoD system design or procurement decisions, examples including, but not limited to, deterministic or stochastic modeling, optimization, heuristic approaches such as genetic algorithms or simulated annealing, statistical approaches such as hypothesis testing or Analysis of Variance (ANOVA), linear and non-linear regression, response surface methodology (RSM), Design of Experiments (DoE), Monte Carlo simulation, or Artificial Intelligence/Machine Learning (AI/ML) techniques Experience in the development and/or execution of system of systems (SoS) simulations Experience integrating multiple MSandA tools in a networked environment Experience in objected oriented design and development Experience in both Windows and Linux operating system environments Experience using high performance computing (HPC) capabilities to support MSandA Experience in MSandA of Directed Energy weapon systems Experience with laser beam propagation modeling tools, such as HELCoMES or SHaRE Familiarity with the physics of electro optical passive or laser systems Active DoD Top Secret Clearance including Sensitive Compartmented Information EOE/Minorities/Females/Vet/Disabled