High Performance Low Level Programmer

The group is looking for an exceptional high performance programmer to complement the team and make a difference. As a member of our fast paced group, you will have the unique opportunity to delight and inspire millions of Apple’s customers every day. You will work in a cross functional team which is implementing innovative and state of the art routines to support the necessary computation for such things as machine learning and vision algorithms. Push the state of the art in low level computation and drive them towards energy efficient and high performance implementations by tightly integrating software and hardware. The successful candidate will have excellent understanding and knowledge of micro architecture of NEON on ARM and AVX on Intel CPU cores from a vector programming perspective. Team members are engaged in the design and optimization of low level computational support for machine learning and computational vision such as 2D Multi-layered convolution, LSTM in hand writing recognition, FFT and DFT for audio codecs, speech synthesis and encryption to mention a few technologies. Understanding and working knowledge of cryptographic algorithms such as AES and SHA is a desirable attribute. Being able to craft the fastest and the most energy efficient routines for a particular CPU core is a plus. Low level high performance programming experience is a must for this position. Being comfortable in vector assembly and low level C is a requirement. The ideal candidate would be at ease in developing both innovative and robust CPU core level algorithms derived from a particular technology’s need in a tight deadline . Minimum Qualifications 5+ years low level algorithmic development in Machine Learning computation, LSTM, BLAS and DFT. Detailed knowledge of vector Instruction Set Architectures (ISA) of ARM and Intel. Strong understanding of computational efficiency. Excellent coding skills in ASM and C. Preferred Qualifications Strong verbal and written communication skills. Ability to manage multiple tasks and self-prioritize. Ability to work with cross functional teams in compression related components.

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