Job 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. 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). 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.

Requirements

Must-haves

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.
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).
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.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlpython

Platform: apple
Effort: medium