We are seeking highly motivated, innovative and confident individuals to join our GPU Platform Architecture Team. 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. The internship can be based in London Bishopsgate, St Albans or Cambridge. We will be hiring for the internship in 2025/2026 and across the available start dates: Winter 2025 or Spring/Summer 2026. The role will require you to analyze the performance of existing and future workloads and propose new features and research on novel ideas to boost the performance of our GPUs. You will use performance and energy models to evaluate, iterate and tune ideas until the proposal is mature enough to be presented to senior GPU Architects to decide on its feasibility. You will also cross‑collaborate as a larger architecture and performance team to maintain and improve the simulation environment and boost productivity of the entire team.
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 including object‑oriented programming with C and C++.
* Knowledge of scripting languages such as Perl, Python or Ruby.
* Strong understanding of common data structures, algorithms, and design patterns.
* A curiosity about GPU, CPU, SOC architecture and micro‑architecture.
* Strong interpersonal and analytical skills, with an ability to make data‑driven decisions.
* Ability to work well within a team and be productive under tight schedules.
* Knowledge of performance modelling, logic design and power.
* Curiosity about machine learning and classification algorithms.
* Experience optimizing 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, Vulkan, CUDA, OpenGL, OpenCL).
* Knowledge of performance simulation environments.
Equal Employment Opportunity
We are committed to treating all applicants fairly and equally. We, at Apple, are not all the same and we draw on the differences in who we are, what we’ve experienced and how we think. We work with applicants to make any reasonable accommodations. Apple will consider for employment all qualified applicants with criminal backgrounds in a manner consistent with applicable law. We believe accessibility is a fundamental human right and we welcome as many perspectives as possible to help build a career where you feel like you belong.
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