GPU Intern - Multiple Teams

Summary

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Multifaceted, amazing people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices strengthening our commitment to leave the world better than we found it. The UK GPU team works on IPs that are part of Apple’s world-class GPU designs for Apple Silicon SoCs. We are seeking highly motivated, innovative and confident individuals to join us, across the following areas: Architecture Validation, Performance Modelling and Platform Architecture. You will be at the centre of a chip design effort working with all disciplines, with a critical impact on getting high performant products to millions of Apple customers efficiently. Locations: These roles will be based in London, St Albans or Cambridge. You will have the opportunity to express your location preferences if selected for interview.

Minimum Qualifications

Currently pursuing a BS, MS, or PhD in Computer Science, Electrical Engineering, Computer Engineering, Electrical and Computer Engineering, or a related field. At the end of the internship, you must return to school to continue your education or the internship must be the last requirement for you to graduate. 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

Preferred Qualifications

Strong interpersonal and analytical skills Ability to work well within a team and be productive under tight schedules Familiarity with SystemVerilog / Verilog / VHDL 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

Description

We will be hiring for the below internships in 2026/27 and across the available start dates: Autumn / Winter 2026 or Spring / Summer 2027. Architecture Validation: Building experience interpreting hardware functional specifications together with architects, micro-architects, and designers, you will be able to build bit-accurate C/C++ models of the GPU or design workloads to verify new GPU features through models. You will partner with our verification and software teams to identify bugs in the workloads, model and hardware, collaborate to verify architectural solutions, and communicate recommendations to the wider team. Performance Modelling: You will have impact in defining and optimising Apple's GPU micro-architecture. Through collaboration, you will seek out areas for GPU performance improvement while collecting data and measurements that either confirm new features or rule them out. You will work with experienced designers in micro-architecture and RTL to assess the feasibility of ideas, refine them and create new ones. The role requires the analysis of interesting workloads across existing and new product categories to identify bottlenecks and opportunities for improvement. You will be architecting new simulator features and brainstorming novel ideas to boost simulation performance. We also cross-collaborate as a larger performance team to maintain and improve the simulation environment and look for ways to boost the productivity of the entire team. Platform Architecture: Are you ready to be at the forefront of architecting the next generation of Apple GPUs? This role will require you to analyze the performance of existing and future looking workloads and propose, alongside with world-class GPU and SoC Architects, new features and research on novel ideas to boost to new heights the performance of our GPUs. To do so, you’ll use performance and energy models to evaluate, iterate and tune the different ideas until the proposal is mature enough to be presented to senior GPU Architects to make a decision on its feasibility. You’ll 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.