Graphics (GPU) Architectural Modeling Engineer

Austin, TX, US • Posted 17 hours ago • Updated 11 hours ago
Full Time
On-site
Fitment

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Job Details

Skills

  • Integrated Circuit
  • System On A Chip
  • IPS
  • Computer Hardware
  • Regression Analysis
  • ROOT
  • Modeling
  • Scripting
  • Python
  • Ruby
  • Perl
  • SIMD
  • CPU
  • GP
  • GPU
  • C++
  • Performance Analysis
  • Debugging
  • Verilog
  • SystemVerilog
  • VHDL

Summary

Do you love crafting elegant solutions to highly sophisticated challenges? As part of our Silicon Technologies group, you'll help design and manufacture our next-generation, high-performance, power-efficient processor, system-on-chip (SoC)! You'll ensure Apple products and services can seamlessly and efficiently handle the tasks that make them beloved by millions. Joining this group means you'll be responsible for crafting and building the technology that fuels Apple's devices. Together, you and your team will enable our customers to do all the things they love with their devices.\\n\\nWe are looking for engineers who are passionate about Architectural Models. You will be responsible for the pre-silicon functional and performance modeling of our industry leading low power GPUs. This includes developing detailed models of the architectural and micro-architectural aspects of various blocks and IPs in the GPU and how they operate within the broader GPU design.

In this role you will: \n\n-Drive the development, validation, and verification of advanced graphics processing unit (GPU) designs and architectures.\n-Drive and develop bit-accurate architectural models for hardware/software (HW/SW) co-validation.\n-Drive and develop timing-accurate architectural and micro-architectural models for performance validation and correlation.\n-Drive the triage of regression failures and debug failures to root cause.\n-Drive coding and modeling best-practices and improve modeling infrastructure.\n-Drive multi-functional teams to best practice HW and SW solutions.\n-Roll up and present results and recommendations while working closely and collaboratively across functional teams and organizations.

Experience in C++ Programming.\nExperience with scripting languages Python, Ruby, or Perl.\nMinimum of BS + 10 years of relevant experience.

Knowledge of GPU, CPU, or SIMD architectures.\nBackground in GPU Graphics Pipeline.\nBackground in CPU or GPU Memory Hierarchies.\nBackground in Advanced CPU Architecture and Micro-architecture.\nUnderstanding of GP-GPU Compute.\nExperience with the bring-up and debug of complex systems and micro-architectures.\nExperience with turning architectural and micro-architectural specifications into executable C++ models.\nExperience in performance analysis and debug.\nExperience with HDLs, Verilog, System Verilog or VHDL.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90733111
  • Position Id: 8a9b78fc7e0a5073210c0c97be4e02a5
  • Posted 17 hours ago
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