Silicon Validation Software Engineer, GPU IP Validation and Integration

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: —
Salary: $165,800–$292,400 / yr
Posted: 133 days ago
Freshness: Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $200k

This role $229k

$133k most similar roles pay here $309k

This role pays more than 78% of similar roles. Most pay $176,600–$224,125 — the shaded band above. At the midpoint, this role pays about $229k versus about $200k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 2925 open roles on FindRole.

Listed pay typically runs $166,600–$277,600 across 2305 roles with salary data.

Most-posted roles

View all roles at Apple Inc

At a glance

TL;DR · Silicon Validation Software Engineer, GPU IP Validation and Integration

Role Posting Log in to save

As a Silicon Validation Software Engineer- GPU IP Validation and Integration, you will join the Silicon Technologies group to develop graphics validation software and integrate it into system level test environments. You will be responsible for writing shaders that stress the GPU and create high bandwidth traffic for the memory subsystem while utilizing driver and firmware APIs to compile shaders and move data across the SoC using GPU threads and SIMD groups. Your work involves debugging SoC software and hardware issues, performing system level validation, and exercising interactions between the GPU and various IP blocks. You will utilize C/C++, Python, and GNU Make to execute ML/LLM workloads for characterization. The role requires expertise in OpenGL, CUDA, graphics theory, memory hierarchies, compilers, and deep knowledge of computer architecture to solve complex challenges within high-performance system-on-chip designs.