About The Position
KBR’s is seeking an Accelerated EW Modeling & Simulation Intern to explore how GPU acceleration and AI technologies can improve unclassified electronic warfare modeling and simulation workflows. This internship focuses on leveraging NVIDIA GPU technologies and Python-based tools to accelerate computationally intensive EW simulations and data analysis. The intern will investigate GPU-enabled libraries and AI frameworks to simulate radar signals, jamming scenarios, and multi-agent EW interactions, comparing performance against traditional CPU-based approaches. The work will culminate in a prototype demonstration and technical roadmap for future integration into T&E workflows.
Requirements
- Currently pursuing a degree in Engineering, Computer Science, Data Science, or a related field
- Basic Python programming experience
- Interest in high-performance computing, AI, or simulation
- Strong analytical and problem-solving skills
Nice To Haves
- Familiarity with NumPy or scientific computing
- Exposure to AI frameworks or GPU concepts (no prior experience required)
Responsibilities
- Identify EW modeling and simulation tasks suitable for GPU acceleration
- Develop synthetic EW datasets for simulation and analysis
- Implement GPU-accelerated Python workflows using open-source tools
- Benchmark CPU vs. GPU performance and document results
- Deliver a technical demo and summary presentation
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What This Job Offers
Career Level
Intern
Education Level
No Education Listed
