Design and develop infrastructure to evaluate fault-tolerance strategies for quantum computing systems, working in close collaboration with a multidisciplinary team of theorists and experimentalists. Advance the implementation of quantum error correction codes, contributing to the development of both logical and physical qubit architectures. Empower research and experimentation aimed at building scalable, resilient quantum computers capable of delivering practical value. Engage in creative problem-solving and cross-functional collaboration to overcome technical challenges in quantum system design. Foster a culture of collaboration, creativity, and technical excellence. Doctorate in Computer Science, Software Engineering, Mathematics, Physics, Physical Sciences, or related field AND software industry experience, including developing commercial software, compilers, scientific computing applications, or multi-component systems OR Master's Degree in Computer Science, Software Engineering, Mathematics, Physics, Physical Sciences, or related field AND proven software industry experience, including developing commercial software, compilers, scientific computing applications, or multi-component systems OR Bachelor's Degree in Computer Science, Software Engineering, Mathematics, Physics, Physical Sciences, or related field AND demonstrated software industry experience, including developing commercial software, compilers, scientific computing applications, or multi-component systems Formal experience in quantum error correction and quantum fault-tolerance research and development environment. Hands-on experience with modeling and analyzing circuit-level noise in quantum circuits. Ability to apply AI to accelerate engineering while developing shipping & prototype code. Ability to leverage AI tools to drive innovation and efficiency (e.g., performance modeling and analysis, research gathering, day to day task automation). Doctorate in Computer Science, Software Engineering, Mathematics, Physics, Physical Sciences, or related field AND proven software industry experience, including developing commercial software, compilers, scientific computing applications, or multi-component systems OR Master's Degree in Computer Science, Software Engineering, Mathematics, Physics, Physical Sciences, or related field AND proven software industry experience, including developing commercial software, compilers, scientific computing applications, or multi-component systems OR Bachelor's Degree in Computer Science, Software Engineering, Mathematics, Physics, Physical Sciences, or related field AND demonstrated software industry experience, including developing commercial software, compilers, scientific computing applications, or multi-component systems OR equivalent experience. Experience with HPC, scientific programming, and/or computational problems in other areas of mathematics. Detail oriented problem-solving skills. Programming experience in related programming languages like Python, Julia, Mathematica, Rust, or C/C++. Experience in a collaborative environment.
