About the role

What will you do at Apple?

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.

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.

Which skills does this role require?

Performance measurementDebuggingOptimizationSoftware profilingAI/ML workloadsPyTorchTensorFlowTensorRTCUDAOpenVINOHardware architectureCommunication skillsCross-functional collaborationSystem PerformancePlatform ArchitectureVTuneNsightuProfWPAHWInfoGPUNPUBenchmarkingSoftware EngineeringHardware EngineeringPower ProfilingSystem ArchitectureWorkload StrategyMachine Learning

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