Research Engineer, Quantum Computing, DeepMind Overview
| Company Name | |
| Job Role | Research Engineer, Quantum Computing, DeepMind |
| Qualifications | Bachelor’s |
| Category | IT Jobs |
| Job Type | Full Time |
| Location | London |
This position sits within Google DeepMindâs Science Team in London and focuses on the Quantum Computing Initiative. It is intended for an engineer who is excited by the possibilities of applying AI to scientific discovery and who can work across both research and implementation. The role is positioned as a bridge between quantum computing research and machine learning, bringing together ideas from multiple disciplines and turning them into practical systems.
Google describes research-oriented software engineers as people who are embedded across the company, helping to run large-scale experiments, prototype ideas quickly, and move promising work into broader use. In this environment, engineers may contribute to projects that originate internally or through collaborations with universities and technical institutes around the world. The broader work can span areas such as artificial intelligence, data mining, natural language processing, performance analysis for hardware and software, compiler improvements for mobile platforms, and core search. The role also keeps a strong connection to the research community through collaboration with universities and publication of papers.
The teamâs mission is framed within Google DeepMindâs wider goal of advancing AI to address difficult global problems and support high-quality product innovation for billions of users. The organization emphasizes public benefit, scientific discovery, safety, ethics, and interdisciplinary collaboration, and it offers exposure to a global environment with varied learning opportunities and career paths.
What you will do
- Take full ownership of complex research and engineering deliverables, including implementing and scaling machine learning systems that operate at the intersection of quantum computing and machine learning, using both traditional and agentic methods where appropriate.
- Help advance the algorithms workstream by converting classical and quantum algorithm ideas into reliable code, making thoughtful choices about implementation speed, efficiency, simplicity of design, and sustainability over time.
- Improve collaboration between researchers and engineers by serving as a communication link, promoting clear and readable code, encouraging sound engineering habits, and preparing effective design documents.
What the role requires
- A bachelorâs degree in computer science, physics, mathematics, chemistry, engineering, or a related subject, or equivalent practical experience.
- Five or more years of experience spanning machine learning, engineering, and Python-based software development.
- Hands-on experience with data structures or algorithms in an academic or professional setting.
- Preferred but not mandatory: a PhD in a relevant scientific or computational discipline.
- Preferred but not mandatory: experience with agentic AI and modern machine learning techniques such as diffusion models, transformers, agentic tools, and large language models.
- Preferred but not mandatory: familiarity with quantum computing concepts.
- Strong collaboration skills, since the role requires working closely with specialists in quantum computer science, mathematics, computational chemistry, physics, and machine learning.
- Ability to operate in a research-heavy environment while also producing robust engineering output that can be scaled and maintained.
Additional information from the posting
- The role is based in London, UK.
- Google states that English proficiency is required for all roles unless a posting explicitly says otherwise.
- Applicants who need workplace accommodations can use Googleâs accommodations process for candidates.
- Google notes that it does not accept resumes from agencies and will not pay fees for unsolicited submissions.
- Any equity or stock-related grants are described as discretionary, subject to approval and the terms of the relevant plan and grant agreement, and are not guaranteed.
- Google includes its equal opportunity and affirmative action statement, covering protected characteristics and linking to its policies on non-discrimination, belonging, and hiring.
No benefits package, remote-working arrangement, or hybrid schedule is described in the page text provided.
Degree Requirement: Bachelor’s
Visa Sponsorship May be
To apply for this job please visit www.google.com.
