Quantum Scientist

Responsibilities

Noblis is seeking Principal Engineers / Quantum Scientists to support the National Aeronautics and Space Administration (NASA) Aeronautics and Exploration Technology directorates at NASA Ames Research Center (ARC). Employees will perform complex tasks related to scientific research associated with air traffic management, advanced technology, nanoelectronics, prototype software, and quantum computing, particularly the improvement of aircraft and airspace safety as well as the transition of advanced aeronautics technologies into future air vehicles. The goal of the research effort is to improve current models of quantum computing (in particular gate-model and quantum annealing) or to study unconventional paradigms of computation (for instance, optically Coherent Ising Machines).This can involve design of experiments to run on emerging hardware to give insights into quantum approaches to problems of interest to NASA and other partners from the U.S. Government, academia, and industry. The researcher explores the physics of quantum algorithms, the robustness of the hardware, develops best practice programming techniques for quantum hardware, and illuminates the inner workings to better understand the mechanisms (e.g. entanglement, co-tunneling, many-body effects etc.) that can be used to provide a quantum computational advantage.Example research problems include:

• Follow, understand and review the technological developments in the sector of quantum computing, and related tangential domains, including the emergence of other post-Moore computing platforms.
• Develop new analytical, or experimental, or numerical techniques to better analyze realistic quantum computational paradigms.
• Invent and analyze new quantum algorithms or protocols of computation.
• Develop, and test applications of quantum computing for specific problems such as those involving planning and scheduling of unmanned aerial systems and autonomous mobile robots, data analysis, and a number of other partner problems in the domain of optimization and machine learning.
• Develop beyond-state-of-art classical computing techniques (optimization, machine learning).

Required Qualifications

• Minimum of Master's degree or Ph.D. degree, in Physics, Computer Science, Mathematics, or Computer Engineering, or related.
• Either relevant postdoctoral work or research experience in the field of Quantum Physics, or Applied Mathematics, or Applied Computer Science
• 1 to 3 years of relevant work experience dependent upon degree.
• Proven organizational and communication skills.
• Ability to work independently and effectively as part of a multidisciplinary team.
• Proficiency in Microsoft Office or similar and its applications.
• Ability to understand and code proof-of-concepts in a modern programming language

Mid Level: 

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