We’re looking for an Autonomous Vehicle Performance Architecture Engineer. 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 most high-performance/efficient computer vision applications and kernels to the world-wide customers.What you'll be doing:Work on delivering most efficient software on PVA for Autonomous Driving solutionsAnalyze, prototype and optimize key applications for both existing and new architectures for PVABuild model 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: Master's or PhD (or equivalent experience)3+ years of experience equivalent experience in relevant discipline (CE, CS&E, CS, AI) Excellent C/C++ programming and software design skillsStrong background in computer architecture, high performance computingPerformance modelling, profiling, debug, and code optimization or architectural knowledge of CPU and DSPWays to stand out from the crowd:DSP programming, performance analysis, modelling and optimization experience (GPU programming experience is a plus)Autonomous vehicle software development experienceExpertise 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