GPU Performance Engineer, Platform Architecture

Apple Inc

Quick summary

Work type: On-site
Location: Cambridge, MA
Salary: $162,500–$286,400 / yr
Posted: 41 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $206k

This role $224k

$146k most similar roles pay here $301k

This role pays more than 67% of similar roles. Most pay $177,250–$235,750 — the shaded band above. At the midpoint, this role pays about $224k versus about $206k 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 638 open roles on FindRole.

Listed pay typically runs $171,600–$272,100 across 505 roles with salary data.

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At a glance

TL;DR · GPU Performance Engineer, Platform Architecture

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As a Senior Hardware Engineer on the cutting-edge GPU team, you will play a pivotal role in designing and optimizing high-performance computing systems. Your daily tasks will include developing detailed models for next-generation GPUs to enhance computational efficiency and scalability. You will collaborate closely with software engineers to ensure seamless integration of hardware advancements into existing infrastructure. The ideal candidate possesses extensive experience in modeling GPUs or CPUs, along with strong troubleshooting skills to address complex technical issues. This role demands proficiency in C/C++, Python, and familiarity with CAD tools for schematic capture and PCB layout design. Working within a dynamic environment focused on large-scale data processing and AI applications, you will contribute to solving some of the most challenging problems in high-performance computing.

Skills

GPU CPU Troubleshooting

What you'll do

Design and optimize GPU models for high-performance computing applications.
Develop simulation tools to predict performance metrics of hardware designs.
Analyze complex system interactions involving multiple CPU and GPU components.
Identify bottlenecks in existing hardware architectures through detailed analysis.
Propose innovative solutions to enhance the efficiency and scalability of GPUs.

What we're looking for

Bachelor’s degree required.
10+ years of experience in modeling GPUs and/or CPUs.
Strong troubleshooting skills for hardware issues.
Experience with similar high-performance computing components preferred.
Knowledge of hardware architecture and design principles.

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