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Silicon Validation Software Engineer- GPU IP Validation and Integration

Apple· Hardware
Apply on company site
Hybrid (Austin, TX), Hybrid (Beaverton, OR), Hybrid (Cupertino, CA), Hybrid (San Diego, CA), Hybrid (Waltham, MA)full-timePosted 4mo ago

About the role

Join Apple's Silicon Technologies group to design, validate, and integrate next-generation high-performance, power-efficient processors and SoCs. Develop graphics validation software, stress GPU pipelines, and validate SoC software and hardware in system-level test environments.

Responsibilities

  • Develop graphics validation software and integrate it into system level test environment
  • Write shaders to stress the GPU and create high bandwidth traffic to/from memory subsystem
  • Apply deep understanding of GPU architecture to test pipeline and interactions between GPU and other IP blocks on the SoC
  • Use driver and firmware APIs to compile shaders and prime data movement in the SoC using GPU threads/SIMD groups
  • Understand GPU memory hierarchy (Shared, Global, etc.)
  • Debug SoC software and hardware issues and perform system level validation

Qualifications

  • Minimum of a bachelor's degree in a relevant field
  • Minimum of 10 years of relevant industry experience in silicon validation software engineering or related field
  • Experience with Graphics, OpenGL, and CUDA
  • Understanding of the GPU pipeline and graphics theory
  • Understanding of system and SoC architectures
  • Experience with image processing, memory hierarchies, and compilers
  • Strong C/C++ programming skills
  • Experience implementing and running ML/LLM workloads for GPU characterization
  • Proficiency in Python and GNU Make
  • Deep understanding of compute systems, operating systems, and computer architecture
  • Passion for writing code close to hardware and debugging
  • In-depth knowledge and experience in SoC system-level validation and debugging of SoC software and hardware issues
  • Validation-oriented mindset: meticulous, curious, persistent

Skills

Required:GraphicsGPU pipeline understandingSystem/SoC architecturesImage processingC/C++PythonGNU MakeML/LLM workloadsDebugging
Last updated Aug 28, 2026. Interested? Apply on the company site.

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