Apply on
Original
Simplified
Summary
Apple's Compute Frameworks team in GPU, Graphics and Displays org provides a suite of high-performance data parallel algorithms for developers inside and outside of Apple for iOS, macOS and Apple TV. Our efforts are currently focused in the key areas of linear algebra, image processing, machine learning, along with other projects of key interest to Apple. We are always looking for exceptionally dedicated individuals to grow our outstanding team.
Description
Our team is seeking extraordinary machine learning and GPU programming engineers who are passionate about providing robust compute solutions for accelerating machine learning networks on Apple Silicon.Role has the opportunity to influence the design of compute and programming models in next generation GPU architectures.Responsibilities: * Adding optimizations in machine learning computation graph. * Defining and implementing APIs in Metal Performance Shaders Graph, investigating new algorithms. * Develop/maintain/optimize ML training acceleration technologies. * Support adoption of GPU-accelerated training across 1st and 3rd party clients. * Tune GPU-accelerated training across products. * Performing in-depth analysis, compiler and kernel level optimizations to ensure the best possible performance across hardware families.- Intended deliverables: * ML training GPU acceleration technology. * Optimized ML training across products.If this sounds of interest, we would love to hear from you!
Apple's Compute Frameworks team in GPU, Graphics and Displays org provides a suite of high-performance data parallel algorithms for developers inside and outside of Apple for iOS, macOS and Apple TV. Our efforts are currently focused in the key areas of linear algebra, image processing, machine learning, along with other projects of key interest to Apple. We are always looking for exceptionally dedicated individuals to grow our outstanding team.
Description
Our team is seeking extraordinary machine learning and GPU programming engineers who are passionate about providing robust compute solutions for accelerating machine learning networks on Apple Silicon.Role has the opportunity to influence the design of compute and programming models in next generation GPU architectures.Responsibilities: * Adding optimizations in machine learning computation graph. * Defining and implementing APIs in Metal Performance Shaders Graph, investigating new algorithms. * Develop/maintain/optimize ML training acceleration technologies. * Support adoption of GPU-accelerated training across 1st and 3rd party clients. * Tune GPU-accelerated training across products. * Performing in-depth analysis, compiler and kernel level optimizations to ensure the best possible performance across hardware families.- Intended deliverables: * ML training GPU acceleration technology. * Optimized ML training across products.If this sounds of interest, we would love to hear from you!
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job Similar Jobs
