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 circuit compilation, qubit routing, or layout selection
• 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 new Research Scientist / Senior Research Scientist to focus on quantum circuit compilation, qubit routing, and layout selection
• You will work within a team of researchers dedicated to pushing the limits of quantum compilation, and developing innovative new methods to get the best possible performance of near-term quantum computing hardware
• A major focus of our research team is quantum error suppression (for example by dynamical decoupling, readout error mitigation, and pulse-level quantum control), and your research will interface closely with these areas
• You will also collaborate regularly with engineering and project teams to implement your ideas into our software products, and to apply your insights to a variety of quantum computing hardware platforms
• 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