GPU Internships Architecture Validation, Performance Modelling & Platform Architecture

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 theres 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. nnThe UK GPU team works on IPs that are part of Apples 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. nnYou 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. nnLocations: nThese roles will be based in London St Albans or Cambridge. You will have the opportunity to express your location preferences if selected for interview.

We will be hiring for the below internships in 2026/27 and across the available start dates: Autumn / Winter 2026 or Spring / Summer 2027. nnArchitecture Validation: nBuilding 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. nnPerformance Modelling: nYou will have impact in defining and optimising Apples 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 Architecture: nAre 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 youll 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. Youll 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.

Currently pursuing a BS MS or PhD in Computer Science Electrical Engineering Computer Engineering Electrical and Computer Engineering or a related 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 coding skills with C or CnStrong understanding of common data structures algorithms and design patternsnA curiosity about GPU / CPU / SOC architecture and micro-architecturenKnowledge of scripting languages such as Perl Python or Ruby

Strong interpersonal and analytical skillsnAbility to work well within a team and be productive under tight schedulesnFamiliarity with SystemVerilog / Verilog / VHDLnPrior experience on hardware architectural modelling and hardware description languagesnExperience with one or more GPU APIs (Metal DX12 Vulcan CUDA OpenGL OpenCL)nKnowledge of performance simulation environmentsnKnowledge of software design patterns