Arch Intern, Autonomous Vehicle Performance

NVIDIA MMPLEX PVA team is designing the state-of-art programmable vision accelerator (PVA) which targets the automotive and robotic area. We are responsible for the architecture modeling, designing, and verifying. We also deliver the most high-performance/efficient computer vision applications and kernels to worldwide customers. We’re looking for an Autonomous Vehicle Performance Architecture Intern.What you'll be doing:Work on delivering the most efficient software on PVA for Autonomous Driving solutionsAnalyze, prototype, and optimize key applications for both existing and new architectures for PVABuild models to predict performance, power, and reliability on future architectures and propose and evaluate new architecture featuresBe involved in crafting tools to analyze, simulate, validate, and verify application performance and energy consumptionCollaborate with different teams to improve the PVA architecture to extend the state of the art in performance, efficiency, reliability, and programmabilityWhat we need to see:Masters or PhD students or equivalent experience in a relevant discipline (CE, CS&E, CS, AI)Excellent C/C++ programming skillsBackground in computer architecture, high-performance computingWays to stand out from the crowd:DSP programming, performance analysis, modeling, and optimization experience (GPU programming experience is a plus)Expertise in characterizing and modeling system-level performance, executing comparison studies, and documenting and publishing resultsExperience in deep learning, computer vision, and self-driving car domain