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Paid Internship
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Time Spent
Required Degree
Duration

12Open Positions

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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

Related Field

  • Hardware Engineering

Related Subfield

  • 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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