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 one of the commonly-used languages such as Python, Julia, Matlab, or Mathematica (our team primarily uses Python)

Desirable

• We are seeking a Senior Research Scientist to join our Applications and Algorithms team
• In this role, you will design and implement quantum algorithms and workflows that serve as product offerings and external-facing demonstrations
• A key focus will be leveraging near-term quantum computers to simulate physical and chemical systems, with additional opportunities to explore areas such as quantum optimization, quantum error correction, and quantum machine learning
• You will collaborate closely with our other research teams to enhance our error-suppression methods and integrate our technology with various hardware providers, as well as our engineering and project teams to translate your ideas into software products
• This position offers the opportunity to work at the forefront of quantum computing, driving innovation and delivering impactful solutions
• As a Research Scientist, you’ll be responsible for developing solutions for quantum technologies and deploying them in the Q-CTRL product suite
• Develop efficient and reliable methods and tools that solve challenges facing real quantum computers
• Stay informed about the latest advances in quantum computing and quantum control, and leverage this knowledge to implement and refine 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