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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.
Description
As part of the Platform Architecture GPU Modeling team, you will be working with architecture, design and software partners on the definition and tuning of Apple’s future GPU architectures.
The role involves the creation and maintenance of a high-performance C++ model of our next-generation GPUs. Core responsibilities include coding and debugging a performance and functional model of the GPU; implementing modern hardware features such as machine learning for AI, ray tracing, mesh shading, and more. Other responsibilities include working with the team to ensure model accuracy, feature validation and correlating against other models and RTL. You’ll develop and utilize diverse tools for analyzing the substantial amount of data generated by the models. The team is in a highly collaborative work environment, and you’ll be working with experienced architects, modeling engineers, compiler engineers, and software teams to assess the feasibility of new hardware and software features, running performance experiments, analyzing results, and proposing architectural changes.
Minimum Qualifications
- Bachelor’s degree
- Experience writing and debugging C++ code
- Experience with scripting languages such as Python or Ruby
Preferred Qualifications
- 10+ years of experience modeling GPUs, CPUs, or similar
- MS or PhD degree in related field
- Experience coding components such as processing cores, texturing units, caches, memory hierarchies, etc.
- Understanding of GPU/CPU architectures
- Experience debugging performance issues and correlating multiple models
- Understanding of data analysis tools such as: Tableau, pandas, Excel, matplotlib, etc.
- Experience working with cutting edge machine learning and/or graphics applications/games/benchmarks
- Troubleshooting skills
