Description
INDUS, a government services provider specializing in engineering, IT, cybersecurity, program/financial management, logistics, and data analytics, is seeking an Electric Engineer. This contingent position involves developing and optimizing GPU-accelerated algorithms for high-fidelity simulation models in the WAF HWIL simulation environment. The role focuses on performance optimization under real-time constraints, implementing parallel processing techniques using CUDA and integrating GPU-based algorithms into the simulation architecture. Responsibilities also include conducting performance testing, providing documentation, and potentially assisting with bids and proposals. The ideal candidate will have a bachelor's degree, active secret clearance, and extensive experience in GPU-accelerated algorithm development and real-time simulation systems.
