GPU-accelerated computing • artificial intelligence • deep learning • virtual reality • gaming
5 days ago
GPU-accelerated computing • artificial intelligence • deep learning • virtual reality • gaming
• Collaborate with internal engineering and marketing teams to build product-based how-to technical content • Deliver high-quality technical material to engineers, developers, and scientists through blogs and conferences • Be the evangelist for NVIDIA CUDA-X products in the domains of computer aided engineering and machine learning • Help channel user feedback back to the NVIDIA teams to improve products • Build high-quality training materials, documentation, and reference workflows to enable researchers
• Bachelor’s degree or equivalent experience in Engineering, Applied Mathematics, Computer Science or a related field • 5+ years of meaningful work experience in software development, technical evangelism, technical marketing, developer marketing, or similar • 5+ years experience using common CAE applications like Ansys Fluent, Ansys Mechanical, or Siemens StarCCM+ • Strong communication and interpersonal skills • Proven understanding of AI and ML techniques and frameworks such as Torch and TensorFlow, parallel programming techniques, and software engineering best practices • Experience with NVIDIA's CUDA-X Platform, including SDKs like Modulus, Warp, and Omniverse • Passionate about presenting to technical audiences and generating content for developers
• Equity • Benefits
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