Apple Inc.
Silicon Validation Software Engineer - GPU IP Validation and Integration
Apple Inc., Cupertino, California, United States, 95014
Silicon Validation Software Engineer - GPU IP Validation and Integration
Location: Cupertino, California, United States Description
You will be writing shaders that stress the GPU and cause high bandwidth traffic to and from the memory subsystem. You will apply your deep understanding of GPU architecture to write tests that stress the pipeline and exercise the interaction between the GPU and different IP blocks on the SoC. You will use driver and firmware APIs to compile shaders and manage data movement within the SoC using GPU threads and SIMD groups. Additionally, you will understand various levels of GPU memory hierarchy (Shared, Global, etc.), debug SoC software and hardware issues, and perform system-level validation. Minimum Qualifications
Bachelor's degree in electrical engineering, computer engineering, or a related field. Preferred Qualifications
Experience with Graphics, OpenGL, and CUDA Experience with image processing, memory hierarchies, and compilers 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 hardware-close code and debugging Meticulous, curious, and persistent validation mindset Understanding of the Display pipeline (a plus) Extensive experience in SoC system-level validation and debugging of software and hardware issues
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Location: Cupertino, California, United States Description
You will be writing shaders that stress the GPU and cause high bandwidth traffic to and from the memory subsystem. You will apply your deep understanding of GPU architecture to write tests that stress the pipeline and exercise the interaction between the GPU and different IP blocks on the SoC. You will use driver and firmware APIs to compile shaders and manage data movement within the SoC using GPU threads and SIMD groups. Additionally, you will understand various levels of GPU memory hierarchy (Shared, Global, etc.), debug SoC software and hardware issues, and perform system-level validation. Minimum Qualifications
Bachelor's degree in electrical engineering, computer engineering, or a related field. Preferred Qualifications
Experience with Graphics, OpenGL, and CUDA Experience with image processing, memory hierarchies, and compilers 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 hardware-close code and debugging Meticulous, curious, and persistent validation mindset Understanding of the Display pipeline (a plus) Extensive experience in SoC system-level validation and debugging of software and hardware issues
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