Software Engineer - Intelligent Automation

Software Engineer - Intelligent Automation

Full-Time 70000 - 90000 £ / year (est.) Home office (partial)
Quantum Motion

At a Glance

  • Tasks: Join our team to develop cutting-edge software for quantum computing and tackle complex technical challenges.
  • Company: Be part of a world-leading tech company at the forefront of quantum innovation.
  • Benefits: Enjoy competitive salary, share options, private medical insurance, and a cycle-to-work scheme.
  • Other info: Hybrid role with opportunities for career growth in a dynamic environment.
  • Why this job: Make a real impact in the future of technology while working with brilliant minds.
  • Qualifications: Top-tier education in Computer Science and 4+ years of software engineering experience required.

The predicted salary is between 70000 - 90000 £ per year.

Our Team We are looking for a pragmatic and skilled Software Engineer to join the Intelligent Automation (IA) team. This team builds the mission critical software layer that allows our hardware experts and IC engineers to acquire data more efficiently, analyse experiments, and control quantum processors. In this role, you will join the software stack development team within IA responsible for the systems that power our quantum computing platform. Our software stack spans backend quantum processing unit (QPU) control software, database and queue management systems, and user-facing APIs for job validation and submission. You will contribute to the next generation of deployments, enabling larger qubit counts, more complex architectures, and increasingly sophisticated quantum operations. Your work will involve prototyping new solutions, iteratively testing and refining them, and preparing components for robust, production‑ready systems for deployment. We are looking for an engineer who enjoys solving complex technical problems and building complete software systems. You will contribute to architectural decisions, define interfaces between components, and help shape how our software evolves over time. This role is suited to someone who thinks beyond individual features or components and is comfortable considering the wider system: reliability, maintainability, performance, and how different parts of a technical stack work together. Please note that this is a hybrid role, with requirements to be on-site at our Islington lab as needed to manage and deploy infrastructure related to the physical lab environment and QPUs.

Functions of the Role

  • Maintaining the prototype software stack, and developing the next generation for future deployments.
  • Working with hardware experts to understand requirements, scope out and develop new features.
  • Benchmarking and scaling components of the stack for the next generation.
  • Improving the integration testing across the software stack, including building custom dummy devices and digital twins.

Experience - Essentials

  • Top tier education, minimum 2.1 in Computer Science or closely related discipline from a top university.
  • 4+ years of professional software engineering experience, with strong proficiency in Python.
  • Experience designing, developing and maintaining complex software systems, with the ability to make informed design and architectural decisions, and balance considerations such as scalability, maintainability, performance, and reliability.
  • Experience working across multiple layers of a software system, with a focus on understanding how components and interfaces fit together, rather than specialising in a single layer of the application.
  • Experience profiling, benchmarking, and optimising software, with the ability to identify performance bottlenecks.
  • Exposure to C, C++, Rust, and/or GPU programming and GPU optimisation.
  • Experienced in git, version control and software best practices.
  • Strong collaborative approach with good communication and interpersonal skills.
  • Ability to work independently to achieve goals.

Experience - Desirable

  • Experience with building simulators, digital twins, or other software models of complex systems.
  • Experience developing software interfaces for hardware, particularly laboratory instruments, scientific equipment, or other technical devices.
  • Experience in preparation of technical reports and presentations for key stakeholders.

Benefits

  • Be part of a creative, world‑leading team
  • Competitive salary and share options scheme
  • Contributory pension scheme
  • Group private medical insurance scheme
  • Life Assurance
  • Cycle‑to‑work Scheme
  • Central London location

EEO Statement Quantum Motion is committed to providing equal employment opportunity and does not discriminate based on age, sex, sexual orientation, gender identity, race, colour, religion, disability status, marital status, pregnancy, gender reassignment or any other protected characteristics covered by the Equality Act 2010.

Software Engineer - Intelligent Automation employer: Quantum Motion

At Quantum Motion, we pride ourselves on being an innovative employer that fosters a collaborative and creative work environment. Our Islington lab offers a unique opportunity to work at the forefront of quantum computing, with competitive salaries, share options, and a contributory pension scheme. We are dedicated to employee growth, providing access to cutting-edge projects and a supportive culture that values diverse perspectives and encourages professional development.

Quantum Motion

Contact Details:

Quantum Motion Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Software Engineer - Intelligent Automation

Join Local Tech Meetups

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Contribute to Open Source Projects

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We think you need these skills to ace Software Engineer - Intelligent Automation

Python
Software Engineering
Complex Software Systems Design
Architectural Decision Making
Scalability
Maintainability
Performance Optimisation

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Quantum Motion.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Quantum Motion and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Quantum Motion

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Quantum Motion uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.