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GPU Internship - Platform Architecture
Apple —Cambridge
- Doctoral degree
- Computer Science
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GPU Internship - Platform Architecture

Apple -
Cambridge

Apply Now

Job details

Internship

Qualifications

Doctoral degree
Computer Science
Engineering
Data structures
OOP
Analysis skills
C++
SoC
C
Bachelor's degree
Machine learning
Perl
Scripting
Ruby
APIs
Electrical Engineering
Python
Design patterns

Full job description

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. Join us to help deliver the next groundbreaking Apple product! Do you love working on challenges that no one has solved yet? As a member of our dynamic group, you will have the unique and rewarding opportunity to craft upcoming products that will delight and inspire millions of Apple’s customers every single day.

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.

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

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

Apply Now

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data science internship jobs in snailwell, cam

GPU Internship - Platform Architecture

Software Development Engineer, AWS S3 Tables

Lead AI Engineer - Financial Inclusion

Software Development Engineer (Java & AWS), Ring

Senior Application Builder, Ring Application Services

C++ AI Automation Software Development Engineer, Ring

Software Development Engineer, Ring

Software Development Engineer, Ring Cloud Computer Vision

Senior Drone Software Dev Engineer, Ring Robotics Platform Engineering

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