Senior GPU Accelerator Development Professional

1 week ago


Singapore beBeeEngineer Full time

Job Opportunity

The role involves designing SoC functional testing methodologies, crafting feature verification plans, implementing diagnostics applications, and analyzing/debugging results. This requires close collaboration with hardware architects and logic designers to address functional issues, as well as with customer support engineers to resolve testing deficiencies.

The ideal candidate is a proactive, self-driven professional who can share ideas and provide leadership in design verification. They should be highly skilled in hardware/software integration and standard diagnostic testing techniques. Experience in developing complex software in challenging environments is also essential. Strong problem-solving and data analysis skills are necessary, along with excellent communication abilities.

Key Responsibilities:

  • Plan, design, develop, debug, and optimize functional and stress tests for machine learning and HPC GPU accelerators.
  • Collaborate with hardware architects and logic designers to resolve functional issues, and with customer support engineers to address verification deficiencies.
  • Research, evaluate, and adopt evolving diagnostics methodologies to verify complex ASIC designs under demanding production schedules.
  • Own SoC IP feature verification planning and test development from pre-silicon through post-silicon stages.

PREFERRED EXPERIENCE:

  • Extensive experience in diagnostic or verification environments, with a focus on ASIC system-level testing.
  • Proficiency in object-oriented programming in C++.
  • GPU programming experience (OpenCL, CUDA, HIP) is a plus.
  • Software development experience in Linux.
  • Strong combination of large-scale software development and hardware knowledge.
  • Experience with SoC bring up is a plus.
  • Understanding of RTL design practices and tools is a plus.
  • Familiarity with Machine Learning (CNN, RNN, FNN) and frameworks such as TensorFlow, PyTorch, or DirectML is a plus.

ACADEMIC CREDENTIALS:

  • BSEE, CSEE, BSCpE, or BSCS; MS preferred.


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