AI/ML Systems Performance Engineer

Apple Inc.; Santa Clara (CA); Hybrid; USD 185,000 - 325,000; Full time

Benefits offered by this job

Medical and dental coverage

Retirement benefits

Employee stock programs

Stock purchase plan

Relocation assistance

Tuition reimbursement

Job summary

Apple Inc. in Santa Clara, California, seeks a System Performance Engineer - AI/ML for the Platform Architecture team to drive performance excellence by benchmarking AI experiences across devices.

You will curate AI workloads, run tests on diverse hardware and software, analyze results, and translate findings into actionable insights for leadership. Strong Python scripting and profiling skills, plus knowledge of GPUs/NPUs, are essential.

Qualifications

• Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science or a related field.
• Experience in performance measurement, analysis, debug, and optimization using profiling tools.
• Experience curating, running, and interpreting AI/ML workloads and benchmarks with common frameworks.

Responsibilities

• Curate and define AI workloads that reflect real user experiences and metrics.
• Run workloads across diverse hardware and software to generate insights.
• Analyze system behavior to connect performance to hardware/software and identify optimizations.
• Present findings to executive leadership and cross-functional partners in clear narratives.
• Stay updated on AI tech developments, models, frameworks, accelerators, and device features.

Skills

Performance profiling

Python scripting

Cross-functional collaboration

OS/Linux/macOS/Windows knowledge

Education

Bachelor's Degree in Computer Engineering / Electrical Engineering / Computer Science

Tools

VTune

Nsight

uProf

WPA

HWInfo

PyTorch

TensorFlow

TensorRT/CUDA

OpenVINO

Job description

Apple Inc. in Santa Clara, California, seeks a System Performance Engineer - AI/ML for the Platform Architecture team to drive performance excellence by benchmarking AI experiences across devices.

You will curate AI workloads, run tests on diverse hardware and software, analyze results, and translate findings into actionable insights for leadership. Strong Python scripting and profiling skills, plus knowledge of GPUs/NPUs, are essential.