Systems Performance Architect

Beaverton, Oregon, United States


Weekly Hours: 40
Role Number:200501267
The people here at Apple don’t just create products — they create the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple and help us leave the world better than we found it. Are you up for the challenge? Our System Performance and Architecture team is looking for an outstanding engineer to collaborate with Architects to guide ML performance analysis and modeling across Apple’s products and investigate performance and power characteristics of new ML workloads. In this highly collaborative and cross functional role, you will be at the center of multiple efforts to accelerate and optimize on-device machine learning. We are looking for someone that is familiar with Machine Learning and is passionate about identifying and optimizing performance bottlenecks. Experience with system level performance spanning hardware (CPU, GPU, DRAM, storage), software (OS, drivers, applications), and other system characteristics (thermals, power, acoustics) is a plus. Come join us!

Key Qualifications

  • Solid understanding and experience in computer architecture
  • Strong and proven software development and performance analysis skills
  • Understanding of machine learning fundamentals
  • Experience with performance on low level software and computer architecture
  • Passion for software architecture, APIs and high performance extensible software
  • Proficiency in C/C++ and Python
  • Strong communication and mentoring skills


We are seeking a unique Individual capable of taking a technical leadership role in all of the above. This role will entail: • Guiding architecture tradeoff decisions at an executive level • Interacting with various cross-functional teams to understand, model, and guide development • Work with high level software features including 3rd party developers and ML inference stack • Collect the learnings from investigations and collaborate with SoC, HW, and SW architecture teams to provide insight for future silicon and products • Generating performance projections for future systems • Assist in complex performance debug activities

Education & Experience

MS Degree or PhD in Electrical Engineering or Computer Science or equivalent years of experience.

Additional Requirements