• Candidates must be US citizens with an active DOD Secret clearance and the ability to obtain and maintain TS/SCI.
• Candidates must possess a Bachelor of Science Degree in Aerospace Engineering, Mechanical Engineering, Electrical Engineering, or a related degree (advanced degrees preferred).
• Candidates must possess at least 6 years of work experience in an engineering field (2 with a MS, 0 with a PhD).
• Experience in computer science and/or software engineering.
• Ability to work independently with minimal supervision.
• Technical writing and communications: ability to convey complex information with clear and precise language, verbal and written, to a wide range of audiences while utilizing a variety of templates and formats.
• Proficiency in analysis and demonstrated curiosity/desire to understand.

• Candidates should possess an active DoD TS/SCI clearance.
• Candidates should possess a Master of Science or PhD with research and/or laboratory experience.
• Experience with RF and IR seekers.
• Proficiency with Matlab and/or Python.
• Familiarity with collection, analysis, dissemination, and application of all-source intelligence and data.
• 2+ years of systems engineering experience.
• Engineering design experience – work experience or capstone project.
• Familiarity with DoD HPC systems, accesses and scripting languages, with the ability to submit batch jobs, collect data, and transmit data.
• Experience with developing and/or running Acquisition Threat Engineering Packages (ATEPs).

• Design and execute tests, analyze data to discover issues in test results, verification & validation of models, documentation of results.
• Explore and explain anomalies in test results and make real-world conclusions from tests with limited information.
• Conduct in-depth research and learn new engineering concepts.
• Troubleshooting and root cause analysis.
• Data reduction and visualization – convert raw data into usable and digestible formats for SMEs to review and assess.
• Act as liaison between analysts, SMEs, engineers, and scientists with awareness of data transfer limitations, computing facilities, and what tasks must be performed at specific facilities.

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