GPU Performance Modeling Engineer, Platform Architecture

Remote Full-time
About the position

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, hard-working people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. Join us to help deliver the next groundbreaking Apple product! We are seeking a highly motivated, innovative, and dedicated engineer to join the Platform Architecture GPU Modeling Team; we are a group that is driving advanced exploration for next generation GPU architectures in iPhone, iPad and Mac products. We rely on strong analytical skills and close collaboration to deliver the best overall solution to our customers. In this highly visible role, you will be at the center of a chip design effort working with all disciplines, with a critical impact on getting highly performant products to millions of customers quickly. This is an opportunity to join Apple’s world-class GPU team to collaborate, develop and improve GPU simulators for research, performance analysis, and architectural tuning.

Responsibilities
• Work with architecture, design and software partners on the definition and tuning of Apple’s future GPU architectures.
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• Create and maintain a high-performance C++ model of next-generation GPUs.
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• Code and debug a performance and functional model of the GPU.
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• Implement modern features such as ray tracing, mesh shading, machine learning, and more.
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• Ensure model accuracy, feature validation and correlate against other models and RTL.
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• Utilize and develop diverse tools for analyzing the substantial amount of data generated by the models.
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• Collaborate with experienced architects, modeling engineers, compiler engineers, and software teams to assess the feasibility of new hardware and software features.
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• Run performance experiments, analyze results, and propose architectural changes.

Requirements
• Bachelor’s degree.
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• Software skills and ability to write and debug C++ code.
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• Experience with scripting languages such as Python or Ruby.

Nice-to-haves
• 3+ years of experience modeling GPUs, CPUs, or similar.
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• MS or PhD degree in related field.
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• Experience coding components such as processing cores, texturing units, caches, memory hierarchies, etc.
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• Understanding of GPU/CPU architectures.
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• Experience debugging performance issues and correlating multiple models.
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• Understanding of data analysis tools such as: Tableau, pandas, Excel, matplotlib, etc.
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• Experience working with cutting edge graphics applications/games/benchmarks.
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• Troubleshooting skills.

Benefits

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