Company Overview neQxt is a trailblazing company at the forefront of quantum computing technology. With decades of expertise in ion-trap technology, neQxt was founded at Johannes Gutenberg University Mainz, Germany, emerging from the renowned research group of Prof. Dr. Ferdinand Schmidt-Kaler. At neQxt, our theory team explores the principles that make scalable quantum computing possible. We study how fault tolerance can be realized under realistic conditions, designing circuits, developing simulation methods, and analyzing noise at the circuit level. A key part of our work is to understand trade-offs between different approaches and how they can be embedded into modular architectures. We aim to connect theoretical insights with practical feasibility, developing techniques that move fault tolerance closer to realization. By building tools, models, and architectures, we provide a bridge between abstract principles and the requirements of physical quantum processors. Position Overview We are seeking Senior Researchers in Fault-Tolerant Quantum Computing to contribute to the development of key components of the fault-tolerant stack. These roles focus on decoders and quantum algorithms at the logical level, addressing how quantum information can be processed reliably in large-scale, error-corrected systems. The positions involve developing and analyzing decoding strategies under realistic noise models, as well as designing and evaluating quantum algorithms within fault-tolerant architectures, including resource estimation and logical-level optimization. The emphasis is on rigorous, hands-on research that advances the performance, scalability, and understanding of error-corrected quantum computation. A central aspect of the role is contributing to the integration of these methods into modular fault-tolerant architectures, ensuring consistency between algorithmic, decoding, and system-level considerations. Qualifications
Education: A PhD in Physics, Computer Science, Mathematics, Electrical Engineering, or a related field is required. Specializations in quantum information, quantum error correction, or quantum algorithms are highly preferred. Specializations: Expertise in one or more of the following areas:
Decoding of Quantum Error Correcting Codes, including development and analysis of decoding algorithms under realistic noise models Fault-Tolerant Quantum Algorithms, including logical-level circuit design, resource estimation, and compilation within error-corrected architectures Theoretical and numerical methods for analyzing fault-tolerant systems at scale Software development for simulation and evaluation of quantum computing architectures
Experience:
Demonstrated expertise in quantum error correction (with a focus on decoding or fault-tolerant quantum algorithms), supported by a strong publication record or impactful software contributions. Ability to work independently on technically demanding problems and to contribute to complex research efforts in fault-tolerant quantum computing.
Key Responsibilities
Conduct research on decoding QEC codes under circuit-level noise or fault-tolerant quantum algorithms, with a focus on performance, scalability, and theoretical understanding. Develop, analyze, and benchmark decoding methods or logical-level algorithmic approaches within fault-tolerant architectures. Contribute to the development of models, tools, and methods for analyzing large-scale, error-corrected quantum systems. Work closely with other researchers to integrate results into broader architectural and simulation frameworks. Produce high-quality research outcomes, including publications, software tools, and technical reports. Track and incorporate relevant advances in fault-tolerant quantum computing into ongoing work.
Our Offer
Permanent Position: A long-term role with the opportunity to contribute continuously to the development of fault-tolerant quantum computing within a focused research environment. High-Impact Projects: Work on meaningful, transformative challenges that push the boundaries of quantum technology. Collaborative Environment: Join a team of passionate experts dedicated to advancing quantum computing through shared knowledge and mentorship. Publish and present our work at international workshops and conferences. Flexible Work Arrangements: Enjoy a supportive and adaptable work environment designed to help you achieve your best results.
Ideal Candidates We are looking for researchers with a strong technical focus and a deep interest in fault-tolerant quantum computing. You should be comfortable working on mathematically and computationally demanding problems, and motivated to develop methods that directly impact the performance and scalability of error-corrected quantum systems. Candidates should bring clear expertise in either QECC decoders or fault-tolerant quantum algorithms, and be interested in how these components fit into a coherent fault-tolerant framework. A strong inclination toward rigorous analysis, quantitative evaluation, and the development of practical methods is essential. This role is well suited for individuals who prefer hands-on research, enjoy working through concrete technical challenges, and want to contribute directly to the core mechanisms that enable large-scale quantum computation. Application Process To apply, please submit your CV, a cover letter including your preferred starting date, and any relevant publications or project details. Applications will be reviewed on a rolling basis until positions are filled. Join us at neQxt and help shape the architectures and methods that will enable practical, fault-tolerant quantum computation.
TECHNICAL & MARKET ANALYSIS | Appended by Quantum.Jobs
The emergence of Senior Researchers specializing in Fault-Tolerant Quantum Computing represents a critical pivot from Noisy Intermediate-Scale Quantum computing to stable, error-corrected architectures. As hardware systems increase physical qubit numbers, the structural necessity for advanced logical-layer software design becomes the primary determinant for unlocking scalable quantum advantage. This expert role functions as a high-leverage stabilization point within the deep-tech stack, translating abstract error-correcting codes into practical system configurations. Market signals from major research consortia identify the stabilization of logical-to-physical error rates as the definitive bottleneck for industrial application deployment. By optimizing decoding mechanics and resource estimation framework parameters, this specialized function directly accelerates the translation path from exploratory physics to commercial computational viability.
The fault-tolerant quantum computing landscape is shifting from physical device validation to the systematic optimization of the logical software stack. While platform providers achieve milestones across ion-trap, superconducting, and neutral-atom modalities, the primary ecosystem bottleneck rests within the algorithmic and error-correction domains. Current industry focus lies on bridging classical and quantum capabilities at scale, requiring deep expertise to orchestrate active circuit decoding without introducing latency overheads that exceed quantum coherence limits.
Ecosystem analysis highlights that macro constraints are heavily weighted toward severe workforce scarcity at the intersection of information theory, software compilation, and physical device constraints. As public and private capital deployment matures across global technology corridors, organizations face acute challenges in establishing reproducible benchmarking protocols for logical-level circuits. Consequently, the sector requires specialized architects capable of evaluating complex noise-model trade-offs before executing capital-intensive physical scaling strategies.
Furthermore, integrating advanced decoding strategies into modular architectures represents an essential infrastructure dependency for long-term commercial sustainability. The evolution of the deep-tech value chain relies on establishing cross-functional translation pathways that protect early-stage research investments against hardware architecture obsolescence. Systemic readiness across the broader software layer ultimately depends on these core algorithmic frameworks delivering predictable error reduction profiles under realistic operational conditions.
The capability architecture for this function requires the synchronization of mathematical error-correction theory with practical numerical simulation execution. Mastery of decoding framework design is essential for ensuring that logical circuit topologies remain tightly coupled to the constraints of underlying physical processors. This requires deep familiarity with state-of-the-art software tools used to evaluate noise propagation pathways across complex physical-to-logical translation layers.
These advanced capabilities are fundamental to engineering throughput, as they enable the parallelization of hardware development cycles alongside logical algorithm validation. Establishing rigorous resource estimation frameworks provides the data infrastructure needed to assess corporate timelines for achieving verifiable quantum advantage across complex computational workloads. Moreover, this analytical function reduces the deployment friction between academic discoveries and production-grade software compilers within emerging cloud environments. - Accelerates the deterministic transition from noisy intermediate-scale experiments to scalable fault-tolerant quantum operations
- Mitigates architectural execution risks by verifying logical-level circuit performance under realistic circuit noise models
- Facilitates the integration of advanced decoding algorithms into modular scalable quantum hardware infrastructures
- Strengthens the reliability of quantum software compilation pipelines through rigorous resource estimation benchmarking
- Reduces iteration friction between academic theoretical physics breakthroughs and commercial industrial systems engineering
- Optimizes the utilization of highly specialized deep tech talent across software and physical hardware boundaries
- Enhances the long-term stability of the quantum value chain by establishing robust logical error frameworks
- Supports the scaling of quantum processor units by ensuring architectural compatibility with advanced error correcting codes
- Improves the transparency of technology readiness level milestones for global investment and enterprise policy stakeholders
- Enables the systematic reproducibility of error correction simulations through standardized compilation protocol development
- Protects high-value research and development investments by aligning logical algorithm design with real physical constraints
- Orchestrates the structural convergence of information theory frameworks with the engineering requirements of physical chipsIndustry Tags: Fault-Tolerant Quantum Computing, Quantum Error Correction, Quantum Algorithm Design, Decoder Optimization, Software Stack Integration, Resource Estimation, Deep Tech Infrastructure, Ion-Trap Architecture, Numerical Simulation
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