GPU Platform Architecture Intern β€” London/Cambridge

GPU Platform Architecture Intern β€” London/Cambridge

Full-Time 20000 - 30000 Β£ / year (est.) No working from home possible
Apple Inc.

At a Glance

  • Tasks: Analyse workloads and propose innovative GPU features for cutting-edge technology.
  • Company: Join Apple Inc., a leader in tech innovation and design.
  • Benefits: Gain hands-on experience, mentorship, and potential career opportunities.
  • Other info: Internship available in multiple UK locations with flexible start dates.
  • Why this job: Make an impact on the future of AI and compute technologies.
  • Qualifications: Passion for GPU architecture and strong analytical skills.

The predicted salary is between 20000 - 30000 Β£ per year.

Apple Inc. is seeking an AI/compute-oriented GPU Platform Architecture intern for 2025–2026 in the UK.

The role focuses on analyzing workloads, proposing GPU features, and using performance models to drive ideas into mature proposals.

You will collaborate with GPU and So C architects across architecture and performance teams.

The internship starts Winter 2025 or Spring/Summer 2026 with multiple UK locations (London/Cambridge/St Albans).

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GPU Platform Architecture Intern β€” London/Cambridge employer: Apple Inc.

As a leading employer in the construction sector, our company is dedicated to fostering a supportive and collaborative work environment where employees can thrive. With a strong focus on employee well-being and long-term career development, we offer numerous opportunities for growth and advancement, ensuring that our team members feel valued and engaged. Located in a vibrant area with access to diverse projects, our workplace culture promotes innovation and teamwork, making it an ideal setting for experienced professionals seeking meaningful and rewarding employment.

Apple Inc.

Contact Details:

Apple Inc. Recruitment Team

We think you need these skills to ace GPU Platform Architecture Intern β€” London/Cambridge

Analytical Skills
Performance Modelling
Workload Analysis
Collaboration
GPU Architecture Knowledge
SoC Architecture Knowledge
Proposal Development