Accelerated Compute Systems Performance Architect Intern - 2027

Responsibilities

• Performing in-depth analysis and optimization to ensure the best possible performance on current and/or next-generation NVIDIA GPUs.
• Understanding and analyzing the interplay of hardware and software architectures on core algorithms, programming models, and applications.
• Actively 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
• Pursuing B.Sc., M.Sc., or Ph.D. in relevant discipline (CS, EE, CE).
• A passion for performance analysis and optimization.
• Hands-on experience with the massively parallel GPU programming model, e.g. CUDA or OpenCL. Familiarity with APIs for multi-node communication, like MPI or OpenSHMEM/NVSHMEM, is a plus.
• Solid background in GPU and computer systems architecture.

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