Apple

Apple

Posted via Apple Careers

System Performance Engineer - AI/ML, Platform Architecture

Always Hiring

Posted Aug 14, 2026

Role at a glance

Salary
$184.7K – $324.8K/yr
Location
Santa Clara, California, United States
Work arrangement
On-site
Employment
Full-time
Experience
10+ years of industry experience in performance analysis.
Education
Bachelor’s Degree in Computer Engineering, Electrical Engineering, Computer Science, or a related degree.

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Role Summary

AI-generated

The System Performance Engineer - AI/ML will join Apple’s Platform Architecture team to benchmark AI experiences and evaluate performance across Apple hardware and software. The role develops workload strategies and translates system-level measurements into insights that can guide optimization and future product design.

What You'll Do

  • Curate and define AI workloads representing real user experiences across market segments.
  • Define metrics and design experiments to measure and analyze AI experiences.
  • Run workloads across diverse hardware and software and build data-informed insights.
  • Analyze system behavior across hardware, software, thermals, power, and acoustics to identify optimization opportunities.
  • Present findings and technical analysis to executive leadership and cross-functional partners.
  • Track developments in AI models, frameworks, accelerators, device features, and product launches.

Generated from the employer's posting. Verify important details before applying.

View full posting

Qualifications

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. Experience curating, running, and interpreting AI/ML workloads or benchmarks, including frameworks and hardware-specific runtimes such as PyTorch, TensorFlow, TensorRT/CUDA, and OpenVINO.

Required

  • 10+ years of industry experience in performance analysis.
  • Understanding of the hardware that accelerates AI/ML, including GPUs, NPUs, memory, and bandwidth factors.
  • Understanding of OS fundamentals and system-level performance, including performance, power, and thermal profiling tools.
  • Proficiency in Python for scripting and automation.
  • Knowledge of macOS, Windows, and Linux operating systems.
  • Good communication and presentation skills.
  • Excellent interpersonal skills and ability to work cross-functionally from silicon to software teams.

Original job description

Content provided by the employer

Summary

Imagine what you can do here. At Apple, new ideas have a way of becoming extraordinary products very quickly. Bring passion and dedication to your job, and there’s no telling what we can accomplish together.

Do you love to spend your free time tinkering with new gadgets and exploring cutting-edge technologies? Do you obsess over every detail of product experience? Are you constantly looking out for the latest technology developments and tracking the shifting landscape?

We explore real user workflows and everyday use cases, measure them rigorously across hardware and software, and turn what we learn into insights that shape current and future products. As AI becomes central to the product experience, we’re looking for an engineer to work on our AI workload strategy end to end - from curating what we measure, to running it across devices, to presenting what it means.

Our team is collaborative, creative, and passionate about the value we add to future product designs. Join this team, and you’ll collaborate with engineers across Apple to deep dive into hardware and software technologies, uncover potential optimization opportunities to enhance and improve customer experiences across Apple devices. Come join us!

Description

As a System Performance Engineer - AI/ML on the Platform Architecture team, you will play a critical role in ensuring the performance excellence of Apple products by benchmarking AI experiences.

Responsibilities

Curate and define AI workloads that represent real user experiences across market segments, define useful metrics, design experiments to measure and analyze the experiences.
Run workloads across diverse hardware and software, and build useful insights informed by data and heuristics.
Analyze system behavior and data to explain not just what the numbers are, but why - connecting observed performance to underlying hardware and software behavior, and uncovering optimization opportunities across all aspects of hardware (CPU, GPU, Neural Engine, memory, storage), software (OS, drivers, applications), and system characteristics (thermals, power, and acoustics).
Present findings and provide insights to executive leadership and a broad network of cross-functional partners, translating deep technical analysis into clear, actionable narratives.
Stay on top of the latest developments in AI technology - new models, frameworks, accelerators, device features, and product launches.

Minimum Qualifications

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 (e.g. VTune, Nsight, uProf, WPA, HWInfo).
Experience curating, running, and interpreting AI/ML workloads or benchmarks, and experience with the frameworks and hardware-specific runtimes used (e.g., PyTorch, TensorFlow, TensorRT/CUDA, OpenVINO).

Preferred Qualifications

10+ years of industry experience in performance analysis.
Understanding of the hardware that accelerates AI/ML — GPUs, NPUs, and the memory and bandwidth factors that drive performance — and why they cause performance differences.
Understanding of OS fundamentals and system-level performance, including performance, power, and thermal profiling tools.
Good communication and presentation skills, with the ability to distill complex analysis for technical and executive audiences.
Excellent interpersonal skills; ability to work cross-functionally from silicon to SW teams.
Passion and desire to learn new things, from deep technical topics to user workflows.
Proficiency in Python for scripting and automation.
Knowledge of macOS, Windows, and Linux operating systems.

Pay & Benefits — Santa Clara, California, United States

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $184,700 and $324,800, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Application Deadline

Apple accepts applications to this posting on an ongoing basis.

Apple

About the company

Apple

Large Enterprise

Apple Inc. is a global technology company known for its innovative products and services, including the iPhone, iPad, Mac computers, and Apple Watch. Founded in 1976, Apple has continuously pushed the boundaries of design and functionality, earning a reputation for high-quality consumer electronics and software solutions like iOS and macOS. With a strong commitment to user experience and privacy, Apple also leads in digital services, offering platforms such as the App Store, Apple Music, and iCloud. The company's focus on sustainability and corporate responsibility further enhances its standing as a leader in the technology sector.