As a Performance Modeling Engineer you will be part of a team that is defining and optimizing Apple's GPU micro-architecture. With others you will seek out areas for improvement while collecting data and measurements that either confirm the idea or rule it out. You will collaborate with experienced designers in micro-architecture and RTL to assess the feasibility of ideas, refine ideas, and seed new ones. The role requires the analysis of interesting workloads across existing and new product categories to identify bottlenecks and opportunities for improvement. You’ll be architecting new simulator features and brainstorming novel ideas to boost simulation performance. You’ll collaborate with world-class GPU & SoC Architects to steer and improve the implementation of GPU simulators and performance models used for research, performance analysis, and microarchitecture tuning. We also cross-collaborate as a larger architecture and performance team to maintain and improve the simulation environment and look for ways to boost the productivity of the entire team. In this position you will be expected to: - C++ performance modeling of proposed architectural solutions and features. - Gathering, analyzing, and validating measured and simulated results to compare architectural design alternatives. - Carefully analyze and present results to enable data specific architecture/design. - Writing architectural specification documents in collaboration with engineers across different disciplines. - Work with the multi-functional teams to develop architectural solutions. - Improve Apple’s modeling platform by developing APIs, tools, and optimal standard examples that can be used throughout the company. You should have strong knowledge of computer architecture & micro-architecture Be comfortable in an environment of uncertainty and able to work through ambiguities You will need strong communication, influence and negotiation skills to enable right data driven decisions are taken Familiarity with a range of performance and/or power simulation environments Strong coding skills including object-oriented programming with C & C++ Strong understanding of common data structures and algorithms Knowledgeable in software design patterns Knowledge of scripting languages such as Perl, Python, or Ruby