Senior Computer Vision and Deep Learning Hardware Architect

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 solutions • Analyze, prototype and optimize key applications for both existing and new architectures for PVA • Build model to predict performance, power and reliability on future architectures and propose and evaluate new architecture features • Be involved in crafting tools to analyze, simulate, validate and verify application performance and energy consumption • Collaborate 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 skills • Strong background in computer architecture, high performance computing • Performance 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 experience • Expertise in characterizing and modeling system-level performance, executing comparison studies, and documenting and publishing results • Experience in deep learning, computer vision and self-driving car domain