Graphics (GPU) Architectural Modeling Engineer

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. We are looking for engineers who are passionate about Architectural Models. You will be responsible for the pre-silicon functional 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.

Description

As a Graphics (GPU) Architectural Modeling Engineer, you will: - Help creating architectural models for the development, validation, and verification of graphics processing unit (GPU) design. - Contribute to architectural models for hardware/software (HW/SW) co-validation. - Contribute to architectural models for performance validation and correlation. - Support GPU hardware and software teams during model and design bring-up.

In this role 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 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.