Senior / Principal Quantum Error Correction Engineer

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.

TECHNICAL & MARKET ANALYSIS | Appended by Quantum.
Jobs

The structural transition from noisy intermediate-scale quantum (NISQ) devices to fault-tolerant quantum computing (FTQC) represents the primary technical and economic bottleneck for the global quantum industry. Quantum Error Correction (QEC) engineering functions as the essential architectural bridge, enabling the suppression of physical error rates to levels required for scalable, logical computation. Market indicators suggest that organizations successfully integrating robust QEC protocols into their hardware-software stacks will dictate the timeline for commercial quantum advantage. This role type addresses the critical stability requirements of high-value industrial algorithms, ensuring that quantum breakthroughs translate into reliable, enterprise-ready computational utility.

The global quantum ecosystem is currently pivoting from proof-of-concept experimentation toward the rigorous engineering of fault-tolerant systems. This shift is driven by the realization that physical qubit count alone is an insufficient metric for progress; the primary determinant of success is the ability to maintain logical state coherence through advanced error suppression and correction. Workforce analysis reveals a significant scarcity of experts capable of navigating the intersection of quantum information theory and large-scale systems engineering, creating a high-demand tier within the specialized deep-tech labor market.

Macro-level constraints, such as cryogenic cabling complexity and control electronics latency, necessitate a unified approach where error correction is not an afterthought but a foundational design principle. Industry leaders like Microsoft are increasingly focusing on topological and hardware-efficient codes to reduce the physical overhead typically associated with surface codes. Th