GPU Architecture & Performance Modeling Engineer

Apple Inc.; Santa Clara (CA); Híbrido; USD 181.000 - 246.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical coverage

Dental coverage

Retirement benefits

Stock programs

Descripción de la vacante

Apple Inc. in Santa Clara, California is seeking a Graphics (GPU) Performance Modeling Engineer to join the GPU Performance Modeling Team.

You will define and optimize Apple’s GPU micro-architecture, analyzing workloads to identify bottlenecks and proposing new simulator features. You will work with micro-architecture and RTL designers, develop APIs and tools, and present data-driven results to help steer architectural decisions.

Formación

• Minimum of BS + 3 years of relevant experience.
• Strong coding skills including object-oriented programming with C & C++.
• Knowledge of scripting languages such as Perl, Python, or Ruby.
• Strong understanding of computer architecture & micro-architecture.

Responsabilidades

• C++ performance modeling of proposed architectural solutions and features.
• Gather, analyze, and validate measured and simulated results to compare design alternatives.
• Present results to enable data-driven architecture and design decisions.
• Write architectural specification documents with engineers across disciplines.
• Collaborate with multi-functional teams to develop architectural solutions.
• Improve modeling platform by developing APIs, tools, and standard examples.

Conocimientos

C++

Performance modeling

Object-oriented programming

Data analysis

Scripting

Computer architecture

Communication

Python

Ruby

Perl

Educación

BS + 3 years experience

Herramientas

Python

Ruby

Perl

C++ tooling

Descripción del empleo

Apple Inc. in Santa Clara, California is seeking a Graphics (GPU) Performance Modeling Engineer to join the GPU Performance Modeling Team.

You will define and optimize Apple’s GPU micro-architecture, analyzing workloads to identify bottlenecks and proposing new simulator features. You will work with micro-architecture and RTL designers, develop APIs and tools, and present data-driven results to help steer architectural decisions.