How do I apply for the GPU Internship - Platform Architecture position at Apple and track my application?

We provide a direct link to the official application portal. You can apply directly here . Additionally, you can easily track this and other applications by clicking the bookmark icon to save it to your YGI Kanban board .

What are the working arrangements and expected duration for the GPU Internship - Platform Architecture role?

This position is a not disclosed, structured as a not disclosed role, with an expected duration of 3 months.

What educational background or degree level is required for the GPU Internship - Platform Architecture at Apple?

Candidates are generally expected to be holding or pursuing the following degree levels: Bachelor, Master, PhD.

Does Apple provide visa sponsorship or assistance for international applicants?

Regarding visa assistance and sponsorship for this role, the official status is currently listed as: Not disclosed.

GPU Internship - Platform Architecture

Apple

Found 2 months ago

Location

London, United Kingdom

Duration (Months)

3 Months

Time

Not disclosed

Work Mode

Not disclosed

Salary

Not disclosed

Visa Help

Not disclosed

Last Verified

2 months ago

Education

Bachelor
Master
PhD

Skills & Qualifications

Technical Skills

C++
C
Perl
Python
Ruby
GPU
CPU
SOC architecture
micro-architecture
performance modelling
logic design
power
rendering/parallel compute algorithms
drivers
compilers
hardware architectural modelling
hardware description languages
Metal
DX12
Vulcan
CUDA
OpenGL
OpenCL
performance simulation environments

Soft Skills

interpersonal skills
analytical skills
Ability to work well within a team
productive under tight schedules

Job 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.

Requirements

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

Hardware Engineering

Computer Hardware Engineering

Languages

English

Nice to Haves

machine learning
classification algorithm
optimising rendering/parallel compute algorithms, drivers and/or compilers for one or more GPU architectures
hardware architectural modelling and hardware description languages
performance simulation environments

Apply Now

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