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The SAAM Group within the Sensors Division develops, adapts, and applies cutting-edge autonomy research to solve real-world problems on the foundation of physics-based modeling and simulation. The role is to research, design, develop, and implement a portfolio of capabilities to further our autonomy mission, focusing on innovating and applying AI/ML and other decision-making algorithms to develop autonomy capabilities, particularly in simulation.
Job Responsibility:
Research, design, develop, and implement a portfolio of capabilities to further our autonomy mission
Participate in multi-disciplinary teams spread across multiple STR campuses to plan and execute technical efforts, prepare reports & deliver talks for customers, contribute to proposal efforts, and develop innovative solutions to complex and challenging national security problems
Innovate and apply AI/ML and other decision-making algorithms to develop autonomy capabilities, particularly in simulation
Design, develop, and modify cutting-edge machine learning and other algorithms to conduct studies and form conclusions for autonomy and other challenges
Create, expand, upgrade, and maintain algorithms in software
Design, develop, validate, and manage large-scale simulations and simulation tools
Contribute to comprehensive technical reports and presentations for government customers, articulating the implications of simulation findings on national security
Requirements:
Ability to obtain a Security Clearance at the Secret (S) level
US citizenship
BS +5 years’ experience, MS +3 years’ experience, or PhD in Electrical Engineering, Physics, Applied Mathematics, or related field
Good programming skills in one or more scientific programming languages, such as C/C++, Python, or MATLAB
preferably in Linux
Some experience or interest in at least two of the following: machine learning, algorithm development, modeling & simulation, optimization, controls, signal processing, tracking, electronic warfare, resource allocation
Strong technical writing and communication skills
Nice to have:
Active Secret or TS/SCI clearance
Advanced degree in Electrical Engineering, Physics, Applied Mathematics, or related field
Experience with mission simulators such as AFSIM or NGTS or physics-based simulators such as XPatch or Crisp
Experience with machine learning tasks such as image recognition, deep reinforcement learning, semantic segmentation, graph neural networks, and tools such as PyTorch, Tensorboard, and Ray
Experience writing proposals and/or giving briefings to both highly technical and less technical audiences