Silicon Validation Software Engineer- GPU IP Validation and Integration

Summary

Posted: Mar 18, 2025

Role Number:200571034

Do you love creating elegant solutions to highly complex challenges? Do you intrinsically see the importance in every detail? 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! 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.

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 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

Minimum Qualifications

• A minimum of a bachelor’s degree in relevant field and a minimum of 10 years of relevant industry experience in silicon validation software engineering or related field

Preferred Qualifications

• Experienced with Graphics, OpenGL, and CUDA
• Understanding of the GPU pipeline and graphics theory
• Understanding of system and SoC architectures
• Experienced 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
• In-depth knowledge and experience in SoC system level validation and debugging of SoC software and hardware issues.
• You enjoy the validation mentality: meticulous, curious, and persistent