3 days ago
Responsibilities
- Design and optimize low-level computational routines for machine learning training and inference, vision algorithms, and related computational primitives.
- Develop high-performance, energy-efficient implementations by tightly integrating software and hardware.
- Create CPU-core-level algorithms using vector assembly and low-level C for ARM and Intel architectures.
- Support workloads and models including text-to-speech, voice isolation, and Apple Music Sing across Apple operating systems.
Requirements
- Excellent coding skills in assembly and C.
- Experience with low-level algorithmic development for machine learning primitives, BLAS, and FFT.
- Detailed knowledge of ARM and Intel vector instruction set architectures, including NEON and AVX.
- Bachelor’s or master’s degree in mathematics, computer science, or computer engineering.
- Preferred: master’s or PhD in computer science or computer engineering.
Benefits
- Opportunity to work on Apple’s Core Operating System and Accelerate framework serving iOS, macOS, watchOS, and tvOS.
- Work on high-performance, energy-efficient technology used by millions of Apple customers.
Tech Stack
AssemblyCiOSmacOS
Categories
About Apple
Apple designs and sells consumer electronics, software, and services for consumers and professionals worldwide, including iPhone, Mac, iPad, Apple Watch, and AirPods, plus platforms like iOS/macOS and services such as the App Store, iCloud, Music, and TV+. Its business combines device sales with services and subscriptions and in-house silicon design. Founded in 1976, Apple is headquartered in Cupertino, California, and trades on NASDAQ as AAPL.