Silicon Validation Software Engineer - GPU IP Validation and Integration

Apple • Cupertino, CA

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About The Position

Join a team of expert software engineers with diverse backgrounds (graphics, video encoding, video processing, file systems, CPUs and caching, kernel programming, embedded systems) to develop graphics validation software and integrate it into system level test environment. 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 the necessary driver and firmware APIs to compile shaders and prime operations to move data around in the SoC using the GPU threads/SIMD groups. You will understand the different levels of GPU memory hierarchy (Shared, Global, etc.) You will debug SoC software and hardware issues, and perform system level validation.

Requirements

• A minimum of a bachelor's degree in electrical engineering, computer engineering, or related field.

Nice To Haves

• Experience with Graphics, OpenGL, and CUDA
• Experience with image processing, memory hierarchies, and compilers
• Strong C/C++ programming skills
• Implement and run ML/LLM workloads for GPU characterization
• Proficient in Python and GNU Make
• Deep understanding of compute systems, operating systems, and computer architecture
• Passionate about writing code close to the hardware, and debugging
• You enjoy the validation mentality: meticulous, curious, and persistent.
• Understanding of the Display pipeline is a plus.
• In-depth knowledge and experience in SoC system level validation and debugging of SoC software and hardware issues.

Responsibilities

• Writing shaders that stress the GPU and cause high bandwidth traffic to and from the memory subsystem.
• Applying 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.
• Using necessary driver and firmware APIs to compile shaders and prime operations to move data around in the SoC using the GPU threads/SIMD groups.
• Understanding the different levels of GPU memory hierarchy (Shared, Global, etc.).
• Debugging SoC software and hardware issues.
• Performing system level validation.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 5,001-10,000 employees