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GPU Compute Performance Engineer
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- We use this to develop workflows and tools for deep performance analysis capabilities, which we leverage to develop and optimize GPU graphics and compute workloads specifically for Apple GPUs. The team works on benchmarks, games, pro-apps, ML, GPU compute, and image processing use cases, optimizing the workloads at both the algorithm and shader level to achieve speed-of-light performance.
- DescriptionThe team is seeking extraordinary GPU and machine learning engineers who are passionate about providing robust compute solutions for accelerating machine learning workloads at both the system and GPU programming level on Apple Silicon.
- The ideal candidate will have a passion for squeezing the best performance possible out of our GPUs and is able to explore the low-level architectural details of the HW to achieve this.
- They will work closely with our GPU hardware architecture and design teams to help develop our GPU roadmap and to ensure Apple is building the right HW and SW features to make the best - and fastest - GPU products.
- GPU programming with Metal, DirectX, Vulkan, CUDA, Direct Compute, OpenGL, or OpenCL.Excellent software design and problem-solving skills.
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