Research Engineer, Quantum Computing, DeepMind

Research Engineer, Quantum Computing, DeepMind Overview

This position sits within Google DeepMind’s science-focused engineering environment in London and is centered on the Quantum Computing Initiative. The role is designed for an engineer who can move fluidly between research and implementation, helping turn ideas at the boundary of quantum computing and machine learning into working systems. It is a strong fit for someone who is motivated by AI for Science and wants to contribute to work with broad scientific and technical impact.

Google describes research-oriented software engineers as people who are embedded across the company, where they help run large-scale experiments, prototype promising ideas, and bring new concepts into practical use quickly. The broader engineering culture includes work on a wide range of problems such as artificial intelligence, data mining, natural language processing, performance analysis for hardware and software, compiler improvements for mobile platforms, and search-related systems. In addition to engineering delivery, the role also keeps a connection to the research community through collaboration with universities and publication activity.

Within this specific role, you would join the Science Team and help advance the Quantum Computing Initiative. The work requires close collaboration with specialists from several disciplines, including quantum computing, computer science, mathematics, computational chemistry, physics, and machine learning. Google DeepMind positions itself as an interdisciplinary AI lab focused on solving difficult global problems, improving product innovation, and applying technology for public benefit while keeping safety and ethics central to its work.

What you will do

• Own complex research and engineering goals end to end, including the implementation and scaling of machine learning solutions at the intersection of quantum computing and machine learning, using both standard and agentic methods where appropriate.
• Help advance the algorithms workstream by converting classical and quantum algorithm ideas into reliable, maintainable code, while balancing delivery speed, efficiency, simplicity of design, and sustainability over time.
• Serve as a communication bridge between researchers and engineers by improving how the groups work together, encouraging code that is easy to understand, reinforcing strong engineering habits, and preparing clear design documents.

What the role involves in practice

The job is not limited to writing code. It combines research translation, software engineering, and cross-functional collaboration. You will be expected to take ideas from the research side and make them usable in implementation, while also helping ensure that the resulting systems are robust and well engineered. The position calls for someone who can work effectively with domain experts and contribute to a team that spans multiple scientific and technical backgrounds.

Because the role is tied to quantum computing and machine learning, familiarity with both the conceptual side of quantum computing and the practical side of modern ML systems is important. The posting highlights interest in agentic AI and newer ML paradigms such as diffusion models, transformers, agentic tools, and large language models, suggesting that the team values engineers who can work with contemporary AI techniques as well as foundational software engineering skills.

Minimum qualifications

• A bachelor’s degree in computer science, physics, mathematics, chemistry, engineering, or a related field, or equivalent practical experience.
• Five or more years of experience in machine learning, engineering, and software development using Python.
• Experience with data structures or algorithms gained in an academic or industry setting.

Preferred qualifications

• A PhD in a relevant scientific or computational discipline.
• Experience with agentic AI and modern machine learning approaches, including diffusion models, transformers, agentic tools, and large language models.
• Knowledge of quantum computing concepts.

Additional context

Google emphasizes that English proficiency is required for all roles unless a posting explicitly says otherwise, because the company operates globally and relies on efficient collaboration across regions. The company also notes that applicants may request accommodations if needed during the hiring process.

The posting includes standard Google hiring and legal notices, including that Google does not accept resumes from recruitment agencies and is not responsible for fees tied to unsolicited submissions. It also explains that any equity grants are discretionary, issued by Alphabet Inc. under the relevant stock plan and grant agreement, and are not guaranteed.

The role is based in London, UK. The posting does not provide a remote or hybrid arrangement, so the location is presented as an onsite London position.

How to apply

Applications are handled through Google Careers. Candidates can apply from the job listing and may also use the applicant accommodations form if they need support during the hiring process.

Degree Requirement: Bachelor’s

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