AI Profiler Tools Engineer for GPU Performance

Advanced Micro Devices, Inc.

Santa Clara (CA)

On-site

USD 150,000 - 190,000

Full time

14 days+

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Benefits offered by this job

Benefits package

Job summary

Advanced Micro Devices, Inc. is seeking an influential software engineer to improve performance profiling for AMD GPUs.

You will join a core team working with cutting-edge hardware and software, driving profiling capabilities for AI and HPC workloads. The ideal candidate excels in C++, GPU programming, and Linux development, with experience in ROCm, HIP, or CUDA, and the ability to lead complex issues across multiple teams.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent.

Responsibilities

  • Collaborate with architecture, driver, and runtime teams to enable profiling for next-generation AMD GPUs involved in Pre Silicon and Post Silicon activities.
  • Create test tools, test plans, and write automated scripts with the help of AI tools to validate new silicon features.
  • Design, develop, and maintain ROCprofiler-SDK components for GPU performance profiling.
  • Implement new features and APIs to enhance profiling capabilities for AI and HPC workloads.
  • Optimize profiling tools for accuracy, scalability, and minimal overhead.
  • Debug and resolve issues in profiling workflows and improve tool reliability.
  • Participate in hardware bring-up and ensure profiling support for new ASICs.
  • Stay current with GPU architecture advancements and integrate them into ROCm profiling tools.

Skills

C++
Profiling tools
GPU programming
Linux development
ROCm
Concurrency
GitHub
Problem solving
Team collaboration
OpenCL

Education

Bachelor's or Master's degree in Computer Science/Engineering

Tools

ROCprofiler-SDK
GPU profiling tools

Job description

Advanced Micro Devices, Inc. is seeking an influential software engineer to improve performance profiling for AMD GPUs.

You will join a core team working with cutting-edge hardware and software, driving profiling capabilities for AI and HPC workloads. The ideal candidate excels in C++, GPU programming, and Linux development, with experience in ROCm, HIP, or CUDA, and the ability to lead complex issues across multiple teams.

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