GPU Internships - Architecture Validation & Platform Architecture

## Requirements - Currently pursuing a BS, MS, or PhD in Computer Science, Electrical Engineering, Computer Engineering, Electrical and Computer Engineering, or a related field - Strong coding skills with C or C++ - Strong understanding of common data structures, algorithms, and design patterns - A curiosity about GPU / CPU / SOC architecture and micro-architecture - Knowledge of scripting languages such as Perl, Python or Ruby ## Nice to Haves - Strong interpersonal and analytical skills - Ability to work well within a team and be productive under tight schedules - Familiarity with SystemVerilog / Verilog / VHDL - Experience optimising rendering/parallel compute algorithms, drivers and/or compilers for one or more GPU architectures - Prior experience on hardware architectural modelling and hardware description languages - Experience with one or more GPU APIs (Metal, DX12, Vulcan, CUDA, OpenGL, OpenCL) - Knowledge of performance simulation environments - Knowledge of software design patterns ## What You'll Be Doing - Building experience interpreting hardware specifications alongside architects, micro-architects, modellers, and designers - Developing GPU workloads, automated flows, and tools to support GPU design verification - Analyzing performance of existing and future looking workloads - Proposing new features and researching novel ideas to boost GPU performance - Evaluating, iterating, and tuning ideas using performance and energy models - Collaborating in a larger architecture and performance team to maintain and improve the simulation environment ## Perks and Benefits - Joining a dynamic group working on cutting-edge products - Opportunity to craft products that will delight and inspire millions of Apple’s customers - Working with inspiring, innovative technologies - Reinventing industries with Apple Hardware products - Strengthening commitment to leave the world better than we found it