System Performance Engineer, AI/ML, Platform Architecture

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $150,400–$225,300 / yr
Posted: 2 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $206k

This role $188k

$137k $278k

below market most similar roles pay here above market

This role pays less than 63% of similar roles. Most pay $169,550–$241,937 — the blue band above. At the midpoint, this role pays about $188k 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 3552 open roles on FindRole.

Listed pay typically runs $166,600–$277,600 across 2742 roles with salary data.

Most-posted roles

View all roles at Apple Inc

At a glance

TL;DR · System Performance Engineer, AI/ML, Platform Architecture

Role Posting Log in to save

The System Performance Engineer - AI/ML, Platform Architecture joins the Platform Architecture team to ensure performance excellence by benchmarking AI experiences. This role involves curating AI workloads that represent real user experiences, defining metrics, and designing experiments to measure performance across diverse hardware and software. You will analyze system behavior to uncover optimization opportunities across CPU, GPU, Neural Engine, memory, storage, OS, drivers, and applications while monitoring thermals, power, and acoustics. The position requires proficiency in Python, software profiling tools like VTune, Nsight, uProf, WPA, and HWInfo, and experience with frameworks such as PyTorch, TensorFlow, TensorRT/CUDA, and OpenVINO. You will translate deep technical analysis into actionable narratives for executive leadership to solve complex performance challenges in AI technology and hardware-specific runtimes.

Skills

AI/ML Python PyTorch TensorFlow TensorRT CUDA OpenVINO VTune Nsight uProf WPA HWInfo GPU Neural Engine Linux macOS Windows

What you'll do

Curate and define AI workloads that represent real user experiences across different market segments.
Design experiments to measure and analyze performance metrics for AI experiences.
Run AI workloads across diverse hardware and software to build data-informed insights.
Analyze system behavior to connect performance numbers to underlying hardware and software characteristics.
Identify optimization opportunities across CPU, GPU, Neural Engine, memory, storage, and thermals.
Present technical findings and actionable narratives to executive leadership and cross-functional partners.
Monitor latest developments in AI models, frameworks, accelerators, and device features.

What we're looking for

Bachelor’s Degree in Computer Engineering, Electrical Engineering, Computer Science, or a related degree.
Experience in performance measurement, analysis, debug, and optimization using software profiling tools like VTune, Nsight, uProf, WPA, or HWInfo.
Experience curating, running, and interpreting AI/ML workloads and benchmarks using frameworks like PyTorch, TensorFlow, TensorRT/CUDA, or OpenVINO.
3+ years of industry experience in performance analysis (preferred).
Understanding of hardware that accelerates AI/ML, including GPUs, NPUs, and memory/bandwidth factors (preferred).
Understanding of OS fundamentals and system-level performance, including performance, power, and thermal profiling tools (preferred).
Proficiency in Python for scripting and automation (preferred).
Knowledge of macOS, Windows, and Linux operating systems (preferred).