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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 in the 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.
Locations:
This internship can be based in London Bishopsgate, St Albans or Cambridge. You may express your location preferences if selected for interview.
Start dates:
Winter 2025 or Spring / Summer 2026.
Key Dates:
- Applications will close by mid-October.
- Initial interviews will take place in October, with final round interviews in November.
Description
We will be hiring for the below internship in 2025/2026 and across the available start dates: Winter 2025 or Spring / Summer 2026.
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 decide 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.
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 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
Preferred Qualifications
Knowledge of performance modelling, logic design and power
Curiosity about machine learning and classification algorithm
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
Eeo Content
At Apple, we’re not all the same. And that’s our greatest strength. We draw on the differences in who we are, what we’ve experienced and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. As a registered Disability Confident employer, we will 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. Learn more
