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System Performance Engineer - AI/ML, Platform Architecture

Apple· Platform Architecture
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Santa Clara, California$150.4k - $225.3kfull-timePosted 2w ago

About the role

Engineer to drive AI workload performance strategy end to end, from curating measurements to running workloads on devices and presenting insights to cross-functional partners. Focus on benchmarking AI experiences and optimizing performance across hardware, software, and system characteristics.

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.

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).
  • 3+ 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.

Skills

Required:AI/ML workload curationPerformance measurement and profilingData-driven analysisProgramming with Python

Benefits

  • Comprehensive medical and dental coverage
  • retirement benefits
  • range of discounted products and free services
  • reimbursement for certain educational expenses — including tuition
  • discretionary bonuses or commission payments as well as relocation (role may be eligible)
  • Apple employee stock programs and Employee Stock Purchase Plan
Last updated Oct 9, 2026. Interested? Apply on the company site.

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