Description

Description

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

Minimum Qualifications

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

Preferred Qualifications

• Knowledge of GPU, CPU, or SIMD architectures.
• Background in GPU Graphics Pipeline.
• Background in CPU or GPU Memory Hierarchies.
• Background in Advanced CPU Architecture and Micro-architecture.
• Understanding of GP-GPU Compute.
• Experience with the bring-up and debug of complex systems and micro-architectures.
• Experience with turning architectural and micro-architectural specifications into executable C++ models.
• Experience in performance analysis and debug.
• Experience with HDLs, Verilog, System Verilog or VHDL.

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