NVIDIA is developing processor and system architectures that accelerate machine learning, automotive and high performance computing (HPC) applications. We are seeking a strong candidate to do kernels development and performance analysis for NVIDIA's new architectures. Your work will play a critical role in shaping the future of deep learning hardware and software, ensuring optimal performance for next-generation AI applications.  This position offers the opportunity to make a meaningful impact in a fast-moving, technology focused company.

What you'll be doing:

  • Design, develop, and optimize major layers in LLM (e.g attention, GEMM, inter-GPU communication) for NVIDIA's new architectures.

  • Implement and fine-tune kernels to achieve optimal performance on NVIDIA GPUs.

  • Conduct in-depth performance analysis of GPU kernels, including Attention and other critical operations.

  • Identify bottlenecks, optimize resource utilization, and improve throughput, and power efficiency

  • Create and maintain workloads and micro-benchmark suites to evaluate kernel performance across various hardware and software configurations.

  • Generate performance projections, comparisons, and detailed analysis reports for internal and external stakeholders.

  • Collaborate with architecture, software, and product teams to guide the development of next-generation deep learning hardware and software.

What we need to see:

  • 4+ years of industry experience in GPU programming or performance optimization for DL applications.

  • Demonstrated experience in analyzing and improving the performance of GPU kernels, with measurable results (e.g. performance improvements, efficiency gains).

  • LLM FMHA or GEMM related development or optimization experience will be a plus

  • Expertise in CUDA programming for GPU acceleration will be a plus.

  • Expertise in GPU/CPU Core or MemSys architecture modeling will be a plus.

  • Excellent communication skills, both written and verbal.

  • Strong organizational and time management abilities, with the ability to prioritize tasks effectively.

#deeplearning

Location

China, Shanghai

Job Overview
Job Posted:
2 weeks ago
Job Expires:
Job Type
Full Time

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