CPU Architecture Research Intern | Flexible Hours

Huawei; Cambridge; On-site; GBP 11,000 - 17,000; Full time

Benefits offered by this job

Fixed term contract up to two years

Flexible working

33 days annual leave

Group Pension

Employee assistance programme

Life insurance

Corporate social events

Job summary

Huawei is seeking interns with a strong interest in computer architecture research. This internship focuses on CPU design and micro-architecture, offering opportunities to work on memory systems, cache policies, and performance modeling.

You will contribute to high-level simulations, run experiments, and present results, with guidance toward publishing in scientific venues. This role is ideal for Master’s or PhD students aiming to advance in academia and industry collaborations within Huawei’s

Qualifications

• Candidate must be enrolled in a Master’s or PhD in Computer Science, Software Engineering, Electronic & Electrical Engineering or related fields.
• Strong mathematical/algorithmic problem-solving and OOP skills (C/C++, Python).
• Solid understanding of CPU micro-architecture fundamentals (pipelining, OoO, caches).
• Knowledge of CPU ISA and assembly (Arm, RISC-V, MIPS, x86).
• Familiarity with memory subsystems and OS for virtual memory.

Responsibilities

• Analyze and research state-of-the-art memory and micro-architecture designs to improve performance and reduce power.
• Identify bottlenecks and propose improvements or new approaches.
• Develop high-level simulations for design space exploration.
• Run simulations and evaluate new ideas through experiments.
• Gather, analyze and present experimental results.
• Contribute to scientific literature under supervision.

Skills

C/C++

Python

Math/Algorithms

OO Design

CPU Architecture

Education

Master's degree (CS/SWE/EE)

PhD in related field

Tools

Qemu

Gem5

Job description

Huawei is seeking interns with a strong interest in computer architecture research. This internship focuses on CPU design and micro-architecture, offering opportunities to work on memory systems, cache policies, and performance modeling.

You will contribute to high-level simulations, run experiments, and present results, with guidance toward publishing in scientific venues. This role is ideal for Master’s or PhD students aiming to advance in academia and industry collaborations within Huawei’s