Remaldeep Singh is a skilled Software Engineer with extensive experience in optimizing software for real-time applications, particularly in the autonomous driving domain. Currently at Zoox since May 2022, Remaldeep has contributed significantly to latency optimization for motion planning stacks and developed performance-critical algorithms utilizing C++ and Nvidia CUDA. Prior roles include software engineering positions at Magna International and Optimus Ride, where Remaldeep focused on enhancing vehicle sensor pipeline processing and optimizing performance within autonomous driving systems. An academic background includes a Master's degree in Computer Science from the University of Utah and a Bachelor's degree in Computer Science and Engineering from Panjab University, complemented by internships and research positions that further developed expertise in GPU programming and software optimization.
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