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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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 90733111
- Position Id: 20e888b9b8da07331615dba89156c251
- Posted 1 day ago
