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United Kingdom, Cambridge

Posted 122 days ago

Summer Internship 2026 - Hardware Engineering, UK

🏢 Riverlane

GBP 30K - 35K per year

+2 benefits
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Role Type

🛠️ Engineer / Developer

Role Focus

🏗️ Build Systems

Seniority

🌱 Internship / Entry-Level

Employer Type

🏢 Industry

Visa / Relocation Details

  • Applications are only accepted from individuals who already have the right to work in the UK.
  • This includes applicants who hold a valid UK student visa.

This internship position involves contributing to cutting-edge quantum error correction technology by optimizing the architecture of Riverlane's Local Clustering Decoder (LCD). The intern will investigate and implement architectural improvements to unlock greater flexibility and performance in the decoder system. This work is essential for ensuring the system meets the demands of future, high-speed quantum computing hardware.

Key Responsibilities

Investigate and implement architectural optimizations that unlock greater flexibility and performance in the LCD decoder.

Collaborate with experienced hardware and software engineers to explore and evaluate architectural optimizations.

Enhance the decoder's architecture to improve both flexibility and processing speed.

Contribute to key design decisions involving space or time trade-offs to balance functionality with performance.

Required Skills

Proficiency in Python

Solid understanding of low-level computer architecture

Willingness to learn about FPGA development, quantum computing, and quantum error correction

Nice-to-have Skills

Familiarity with quantum computing or quantum error correction

Understanding of optimization concepts

Exposure to networking principles

Experience with RTL (Register Transfer Level) development for FPGA/ASIC

Technology Tags

Error correction

The primary focus of the role is investigating and optimizing a decoder used for quantum error correction (QEC).

Surface codes

The Local Clustering Decoder is specifically designed for decoding surface code quantum memory experiments.

FPGA controllers

The internship requires willingness to learn about FPGA development and experience with RTL is a bonus.

Optimisation

The core task involves implementing architectural optimizations to unlock greater flexibility and performance in the decoder.

Superconducting Circuits

The optimized QEC decoder is specifically required to meet the speed demands of superconducting qubits.

Python

Proficiency in Python is listed as a required skill for the role.

Fault-tolerant

The architecture enhancements are designed to support logical qubit operations essential for future fault-tolerant quantum computers.