Senior Research Scientist, Q-CTRL

• An advanced degree in Physics, Engineering, Mathematics, Computer Science, or a related discipline. A PhD is preferred, but we will also consider exceptional individuals with previous industry experience
• Expertise in quantum computing, quantum algorithms, or quantum control. Specifically, for this role we would like to see expertise in quantum algorithms, such as quantum simulation, quantum optimization, quantum machine learning, and quantum error correction
• A track record of conducting impactful research, demonstrated through publications and/or presentations in well-regarded journals and/or conferences
• Experience in developing software for scientific experiments using Python

Desirable

• At Q-CTRL, we’re pioneering the future of quantum technology. Our Applications and Algorithms team is seeking a Senior Research Scientist to design and implement quantum algorithms and workflows that underpin our product offerings and external demonstrations
• This role centers on leveraging near-term quantum computers to simulate physical and chemical systems, with opportunities to explore quantum optimization, error correction, and quantum machine learning
• You’ll collaborate closely across research, engineering, and product teams to translate scientific advances into high-impact software solutions integrated with leading quantum hardware platforms
• This is your opportunity to work at the forefront of quantum computing, driving real-world innovation in a rapidly evolving field
• As a Research Scientist, you’ll be responsible for developing solutions for quantum technologies and deploying them in the Q-CTRL product suite
• Design and implement efficient and reliable methods to solve key challenges facing real quantum computers
• Stay up to date with advances in quantum computing and control, applying this knowledge to develop cutting-edge methodologies
• Utilize methods from a range of fields, including control theory, optimization, machine learning, computer science, and data analysis
• Create code for optimizing quantum algorithms, near-term quantum applications, and quantum error correction schemes
• Collaborate with engineering teams to translate your ideas into production-quality software
• Engage with users to gather feedback and enhance our products
• Explain and present your work in clear and accessible language. Incorporate feedback and foster effective collaboration with colleagues
• Write articles for publication in peer-reviewed journals, attend and present your work at conferences, and collaborate with other industrial and academic research groups
• Use open-source scientific computing packages like Qiskit, NumPy, Networkx, Scipy, Scikit-learn, and PyTorch to build high-quality research code to develop, demonstrate, and test new algorithms and methods