System Performance Engineer AIML, Platform Architecture

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 theres no telling what we can accomplish 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 nnWe 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 were 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 team is collaborative creative and passionate about the value we add to future product designs. Join this team and youll 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!

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.

Curate and define AI workloads that represent real user experiences across market segments define useful metrics design experiments to measure and analyze the workloads across diverse hardware and software and build useful insights informed by data and heuristics. nAnalyze 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).nPresent findings and provide insights to executive leadership and a broad network of cross-functional partners translating deep technical analysis into clear actionable on top of the latest developments in AI technology - new models frameworks accelerators device features and product launches.

Bachelors Degree in Computer Engineering Electrical Engineering Computer Science or a related in performance measurement analysis debug and optimization using software profiling tools (e.g. VTune Nsight uProf WPA HWInfo).nExperience 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 of the hardware that accelerates AI/ML GPUs NPUs and the memory and bandwidth factors that drive performance and why they cause performance of OS fundamentals and system-level performance including performance power and thermal profiling communication and presentation skills with the ability to distill complex analysis for technical and executive interpersonal skills; ability to work cross-functionally from silicon to SW and desire to learn new things from deep technical topics to user in Python for scripting and of macOS Windows and Linux operating systems.