Research Engineer, Quantum Computing

Snapshot Science is at the heart of everything we do at Google DeepMind. We are committed to using AI and machine learning to accelerate scientific discovery and tackle some of humanity's biggest challenges. The development of fault-tolerant quantum computing represents one of the most profound scientific and computational challenges of our era. In the Science team at GDM, we believe AI can play a critical role in accelerating progress in this field. This is an opportunity to conduct groundbreaking engineering at the intersection of quantum computing and artificial intelligence. Our team is focused on leveraging cutting-edge machine learning to push the boundaries of what's possible in quantum simulation and algorithm development. You will join a multidisciplinary team of world-class researchers and engineers to pursue ambitious, long-term research and engineering milestones that could redefine the future of computation. About Us Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The Role As a Research Engineer on our Science Team, you will contribute to our Quantum Computing Initiative. This role is an excellent opportunity for a creative and driven engineer who truly burns for the immense possibilities of AI for Science. You will act as the crucial bridge between research and implementation, by seamlessly linking quantum computing research with cutting-edge ML. As an amazing team player, you will collaborate with domain experts in (quantum) computer science, mathematics, computational chemistry, physics, and machine learning. Key responsibilities Deliver on complex research and engineering milestones, assuming end-to-end ownership of implementing and scaling ML solutions (traditional and agentic) at the intersection of quantum computing and machine learning. Complement the algorithms development pillar by translating classical and quantum algorithms into robust code, balancing implementation time with efficiency, design simplicity, and sustainability. Facilitate communication between research and engineering by championing code readability, promoting engineering best practices, and writing effective design documents. About You To set you up for success as a Research Engineer in the Quantum Initiative at Google DeepMind, we look for the following skills and experience: Very strong machine learning, engineering, and software development skills (Python), with a proven ability to solve complex technical problems. A strong foundational background in algorithms and computer science. A scientific background, e.g., computer science, physics, mathematics, chemistry, engineering. An outstanding team player mentality and an absolute passion for accelerating science with AI. In addition, any of the following would be advantageous: Deep practical experience and strength in agentic AI and modern machine learning paradigms (e.g., diffusion, transformers, agentic tools, LLMs). Prior exposure to or knowledge of quantum computing concepts. A PhD in a relevant scientific or computational field, or a track record of published papers. At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability ... (truncated, view full listing at source)