Research Engineer, Quantum Computing

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.

• 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.

• 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.