Remaldeep Singh
Software Engineer at Zoox
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolRemaldeep Singh is a C++ software engineer based in the San Francisco Bay Area with a decade of hands-on experience building low-latency, GPU-accelerated systems for autonomous vehicles and medical imaging. He has repeatedly taken CPU image-processing pipelines to Nvidia CUDA-powered parallel implementations, using tools like Nsight to squeeze out real-time performance and scale across multiple GPUs and CPUs. At Zoox and Optimus Ride he focused on motion planning and pipeline latency optimization, while earlier roles included architecting Java/C++ HPC frameworks and leading team practices that cut pathology image analysis times by more than half. He pairs strong systems and performance tuning skills with applied research experience from the University of Utah and an early GPU-focused GSOC project that made real-time video processing practical. Outside work he’s curious and creative—an avid hiker and photographer—bringing both analytical rigor and a design-minded eye to engineering problems.
8 years of coding experience
9 years of employment as a software developer
Bachelor of Engineering - BE, Computer science and engineering, 78.5%, Bachelor of Engineering - BE, Computer science and engineering, 78.5% at Panjab UniversityThe University of Utah+2, Non-Medical, +2, Non-Medical at SD Public school
Github Skills (1)
data-visualization5
Programming languages (1)
Github contributions (5)
remalcodex/MachineLearning
Sep 2017 - Apr 2018
Contributions:7 pushes, 1 branch in 6 months
remalcodex/ImageProcessing
Sep 2017 - Jan 2018
Contributions:7 pushes, 1 branch in 3 months
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