We are now looking for a Design Automation Tool Development EngineerToday, NVIDIA’s SOCs simulate human intelligence, running deep learning algorithms and acting as the brain of super-computers, robots, and self-driving cars that can perceive and understand the world. We are seeking passionate, innovative, and highly motivated design automation engineers for our Grace CPUs who can help drive the development of CPU technology for architectures used for artificial intelligence (AI) / deep learning (DL), high-performance computing (HPC), cloud service providers (CSP), gaming, virtual reality, and autonomous vehiclesWhat you'll be doing:Work on CAD tools development for the CPU/Fabric teams to improve efficiencyDevelop Network-on-Chip (NoC)/SoC tooling, working closely with tooling architectPush the frontiers of NoC/SoC tooling in order to enable productivity improvementsDevelop complex automation involving advanced graph algorithms leading toward more push-button solutionsWork with teams throughout the company (Architects, RTL, PD etc.) on implementing cross-team solutions to achieve project targets.Drive cross-team methodologies for the deployment of this toolingWhat We Need To See:Bachelor's Degree in Computer Engineering or Electrical Engineering (or equivalent experience)4+ years of relevant work experience in EDA tool development4+ years of relevant development experience with large C++ codebasesProficiency with basic graph algorithmsExperience with build flows such as Make and scripting languagesExperience with wire-level EDA databases is a plusStrong interpersonal, communication and teamwork skills.A drive to continuously learn and expand architectural breadth and depth.NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is profoundly impacting society and transforming the world’s largest industries—from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create. NVIDIA recently entered the CPU server market with its Grace CPU superchip. Additionally, NVIDIA's GPUs and SOCs are world leaders in performance and efficiency and rely on CPU cores to efficiently orchestrate the system. The NVIDIA CPU team builds new, innovative products tailored to cooperate with other technologies to tackle ground-breaking challenges.
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