Job Details

Weekly Hours: 40

Role Number: 200626465-3401

Summary

Imagine what you could do here. At Apple, new ideas have a way of becoming products, services, and customer experiences very quickly. Every single day, people do amazing things at Apple! Do you want to impact billions of users by developing an extraordinary product with a prime focus on accuracy, understandability, and performance of the product? Dynamic, Inspiring people and Innovative technologies are the norm here.

The System Performance Architecture team is responsible for all aspects of performance spanning hardware (CPU, GPU, DRAM, storage), software (OS, drivers, applications), and other system characteristics (thermals, power, acoustics). This spans performance modeling, guiding architecture tradeoffs, performance verification, performance debug, and workload characterization.

Our team is collaborative, creative and passionate about what we do and the value we add in future product designs.

Come join us!

Description

We have an outstanding opportunity for a Performance Architect to contribute to the characterization and optimization of future Apple Silicon platforms. This position is a multi-disciplinary engineering role encompassing computer system design, workload analysis, and performance modeling. The candidate will need the skills to dissect complex workloads (specifically AI and ML), identify architectural bottlenecks, and influence the definition of our next-generation SoCs to advance our products' performance, power, and thermal efficiency.

Minimum Qualifications

• Bachelors Degree in EE or Computer Engineering and minimum 3 years of experience in Computer Architecture, performance analysis, or hardware modeling

• Understanding of CPU/GPU/NPU microarchitecture concepts (pipelines, caches, coherence, etc.)

• Experience in performance analysis and modeling

Preferred Qualifications

• Masters Degree in EE/Computer Engineering or equivalent of relevant working experience is preferred

• Experience with workload characterization tools (e.g., hardware performance counters, instruction tracers, profilers)

• Prior experience with data center and large-scale cluster systems

• Familiarity with Machine Learning workloads (Transformers, CNNs) and frameworks (PyTorch, TensorFlow, CoreML)

• Experience correlating simulation results with silicon measurements

• Ability to communicate complex technical concepts to diverse audiences across hardware and software teams

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .