GPU Internships - Hardware Modelling / Design Verification / Emulation

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Apple Inc.
London
GBP 10,000 - 40,000
Be among the first applicants.
5 days ago
Job description

London, England, United Kingdom

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. 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 across the following areas: Architecture Validation, Platform Architecture, Design Verification, and Emulation. You will be at the center of a chip design effort working with all disciplines, with a critical impact on getting high-performing products to millions of Apple customers efficiently.

Locations: These roles will be based in London, St Albans, or Cambridge. You will have the opportunity to express your location preferences if selected for an interview.

Description

We will be hiring for the below internships in 2024/2025 and across the available start dates: Autumn/Winter 2024 or Spring/Summer 2025.

  1. Platform Architecture: 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 workloads and propose, alongside world-class GPU and SoC Architects, new features and research on novel ideas to enhance the performance of our GPUs. 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 make a decision on its feasibility.
  2. Architecture Validation: Building experience interpreting hardware functional specifications together with architects, micro-architects, and designers, you will be able to build bit-accurate C/C++ models of the GPU or design workloads to verify new GPU features through models. You will partner with our verification and software teams to identify bugs in the workloads, model, and hardware, collaborate to verify architectural solutions, and communicate recommendations to the wider team.
  3. Performance Modelling: You will have an impact in defining and optimizing Apple's GPU micro-architecture. Through collaboration, you will seek out areas for GPU performance improvement while collecting data and measurements that either confirm new features or rule them out. You will work with experienced designers in micro-architecture and RTL to assess the feasibility of ideas, refine them, and create new ones.
  4. Design Verification: You'll be part of creating comprehensive verification plans and contributing to test bench development, from stimulating real-world scenarios to ensuring designs are robust and complete. Collaborating closely with our expert architects and designers, you'll play a crucial role in identifying and addressing issues early in the design cycle.
  5. Emulation: As a Graphics Emulation Intern, you'll develop skills in a range of areas involving accelerated platforms such as emulation: build GPU models, run intensive graphics workloads on those models, debug & resolve potential issues, and contribute to the infrastructure workflow.

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 with C or C++
  • Strong understanding of common data structures, algorithms, and design patterns
  • A curiosity about GPU/CPU/SOC architecture and micro-architecture
  • Knowledge of scripting languages such as Perl, Python, or Ruby

Preferred Qualifications

  • Strong interpersonal and analytical skills
  • Ability to work well within a team and be productive under tight schedules
  • Familiarity with SystemVerilog/Verilog/VHDL
  • Prior experience in hardware architectural modeling and hardware description languages
  • Experience with one or more GPU APIs (Metal, DX12, Vulkan, CUDA, OpenGL, OpenCL)
  • Knowledge of performance simulation environments
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