Silicon Validation Software Engineer - GPU IP Validation and Integration
Apple· Consumer Technology· Apr 28, 2026 · 6mo agoPosted 182 days ago
Cupertino, California, United States
In office
Full-time
Mid
$129K–$195K
Before you apply
Ghost Signal:
Open since April 28, 2026 — 182 days, and still accepting applications.
Job 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.
A minimum of a bachelor's degree in electrical engineering, computer engineering, or related field.
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.
Application prep
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Keywords to mirror
mlllmpython
- Platform
- apple
- Effort
- medium