Senior Research Scientist, Quantum Compilation

About the role

We are seeking a Senior Research Scientist to focus on quantum compilation. You will work within a team of researchers dedicated to pushing the limits of quantum compilation. In particular, you will:

• Develop efficient and reliable methods and tools to get the best possible performance from 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, applications, quantum error correction schemes.
• Collaborate with engineering teams to translate your ideas into production-quality software.
• Explain and present your work in clear and accessible language.
• 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.

You should have:

• 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, quantum error correction, or quantum control. Specifically, for this role we would like to see expertise in quantum circuit compilation, error mitigation, or 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).

Skills we also value (one or more is desirable, but not required):

• A strong background in relevant methods from fields such as control theory, optimization, machine learning, or data analysis.
• Familiarity with error suppression techniques used in quantum computing, such as dynamical decoupling, readout mitigation, zero-noise extrapolation, Pauli twirling, or pulse-level optimization.
• Familiarity with compiling and executing quantum circuits on platforms such as IBM Quantum or Amazon Braket.
• Experience with high-performance languages such as Rust, C++, or Julia.
• Experience with GPUs, TPUs, and other forms of hardware-accelerated computing.
• Exceptional scientific communication skills, evidenced by a track-record of teaching, scientific outreach, writing, producing elegant figures and visualizations, and/or speaking in front of both general and expert audiences.