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GPU Kernel Dev & Perf Analysis Architect

4.00 to 7.00 Years   China (China)   14 May, 2025
Nvidia Graphics Pvt Ltd
Job LocationChina (China)
EducationAny Graduate
SalaryAs per Industry Standards
IndustryIT-Hardware/Networking, Telecom
Functional AreaIT Software : Software Products & Services
EmploymentTypeFull-time

Job Description

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 GEMM kernel development and performance analysis for NVIDIAs 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 youll be doing:

  • Design, develop, and optimize GEMM (General Matrix Multiply) kernels for NVIDIAs new architectures.
  • Implement and fine-tune kernels to achieve optimal performance on NVIDIA GPUs.
  • Conduct in-depth performance analysis of GPU kernels, including GEMM 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.
  • Hands-on experience in developing and optimizing GEMM (General Matrix Multiply) kernels.
  • Demonstrated experience in analyzing and improving the performance of GPU kernels, with measurable results (e.g., performance improvements, efficiency gains).
  • Expertise in CUDA programming for GPU acceleration.
  • Experience with performance profiling tools (e.g., NVIDIA Nsight).
  • Excellent communication skills, both written and verbal.
  • Strong organizational and time management abilities, with the ability to prioritize tasks effectively.
Locations
  • China, Shanghai

Keyskills :
gemm kernel development cuda programming gpu performance optimization performance analysis tools communication skillsmachine learning high performance computing

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