Principal Architect, Accelerated Computing

Responsibilities

• Performing in-depth analysis and optimization to ensure the best possible performance on current and/or next-generation NVIDIA GPUs.
• Creating and optimizing core parallel algorithms, data structures, and reference codes to provide the best possible solutions for NVIDIA GPUs.
• Understanding and analyzing the interplay of hardware and software architectures on core algorithms, programming models, and applications.
• Actively leading and collaborating with the hardware design, software engineering, product, and research teams to guide the direction of accelerated computing.
• Diving into accelerated computing applications to facilitate software-hardware co-design.
• Writing up and presenting your work by writing white papers, conference publications, official blog posts, patent applications, etc. as appropriate.
• What we need to see
• An MS or Ph.D. in Computer Science, Computer Engineering or Electrical Engineering, or equivalent experience
• 12+ years of relevant work experience
• Strong mathematical fundamentals, including linear algebra and numerical methods.

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