Quantum Software Engineer, Infleqtion

• BS or MS in computer science, mathematics, statistics, physics, or another closely related field
• Experience in developing, training, and optimizing machine learning models
• Proficient in scientific computing and HPC environments, comfortable working with large datasets
• Familiarity with common machine learning tools, libraries, and frameworks (e.g. PyTorch, pandas, scikit-learn)
• Demonstrated ability to work and communicate with all levels of an organization; Professional-level communication skills, including verbal, written, and presentation skills
• Demonstrated ability to work comfortably in a highly collaborative, cross-functional, team-oriented, and matrixed environment
• Desire and demonstrated ability to thrive and produce results in a fluid, dynamic, and fast-paced environment
• Demonstrated ability to learn new and complex topics quickly
• Resourceful problem-solver who collaboratively identifies effective paths forward with demonstrated expertise in executing productization efforts
• Passion for solving complex problems and challenges in a highly technical and scientific environment

Desirable

• The newly hired Quantum Software Engineer – Machine Learning is responsible for designing, training, and deployment of classical machine learning models for a variety of downstream tasks in the domains of sensing and signal processing.
• As a member of the Quantum Software division, this role will involve close collaboration with teams working on the development of quantum sensors and hybrid quantum software applications
• Develop and implement custom machine learning models for a variety of tasks in the domains of signal processing and sensor fusion
• Stay up-to-date on literature, identify and pursue cutting edge model development techniques for low SWaP deployment
• Communicate and interpret cutting-edge research in both theory and experiment with colleagues
• Engage with the broader scientific community by publishing research findings in scientific journals and presenting at conferences
• Stay up to date with the latest developments in machine learning and sensor fusion
• Provide guidance and support to other team members, fostering a collaborative research environment