Metal GPU Driver Engineer at Apple
Cupertino, California, United States -
Full Time


Start Date

Immediate

Expiry Date

27 Jan, 26

Salary

0.0

Posted On

29 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

GPU Programming, Metal, DirectX, Vulkan, CUDA, Direct Compute, OpenGL, OpenCL, C/C++, Python, Realtime Graphics, Image Processing, Machine Learning, Communication Skills, Experimental Outcomes, Technical Roadblocks

Industry

Computers and Electronics Manufacturing

Description
Apple’s GPU Software team enables developers to harness the power of the GPU across all of Apple's innovative products, from iPhone, iPad, Apple TV, Apple Watch to our Mac product line. Join the team that made the groundbreaking graphics performance of the Apple M1 processor possible! You’ll collaborate with engineers across Apple to build tools and APIs to enable cutting edge graphics, machine learning, and compute applications on Apple Silicon devices. DESCRIPTION The Apple Silicon GPU Driver team needs engineers to prototype, develop, and support best on our platform ML based rendering algorithms to drive future GPU HW and SW roadmaps. This engineer will design and implement new MetalFX techniques, tune MetalFX support for new SOCs and platforms, and develop the Apple Silicon GPU driver to support realtime ML workloads. We collaborate with industry specialists across Apple to design future generations of the Metal API, shading language, and Apple Silicon GPUs. You will apply your knowledge of computer graphics, operating systems and machine learning to implement the high performance software that drives Apple-designed GPUs. You will build expert-level knowledge to guide developers to tune their workloads for maximum performance and scalability on Apple’s platforms. MINIMUM QUALIFICATIONS GPU programming with Metal, DirectX, Vulkan, CUDA, Direct Compute, OpenGL, or OpenCL Programming knowledge of C/C++ and Python Knowledge of realtime graphics/image processing algorithms and machine learning Excellent written and oral communication skills including the ability to communicate clearly and concisely across multiple audiences to explain experimental outcomes and technical roadblocks Technical BS/MS degree PREFERRED QUALIFICATIONS Experience with machine learning authoring frameworks such as PyTorch is a plus.
Responsibilities
The engineer will prototype, develop, and support ML-based rendering algorithms for future GPU hardware and software roadmaps. They will design and implement new MetalFX techniques and develop the Apple Silicon GPU driver for real-time ML workloads.
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