Job
Description
You will be working at an advanced-technology scale-up focused on Quantum Computing, Artificial Intelligence, and Semiconductor Engineering. The hardware division of the company specializes in designing full-stack enterprise quantum computers, including superconducting processors, cryogenic control electronics, and RF instrumentation. The goal is to unlock breakthroughs across various sectors such as life sciences, finance, transportation, and space. As the Quantum Processor Architect, your primary responsibility will be to design fully fault-tolerant and scalable quantum processors. This involves crafting blueprints and error-correction strategies for next-generation devices, with a focus on developing patentable intellectual property. You will also be tasked with designing, simulating, and benchmarking various quantum error-correction codes on noise-biased hardware. Collaboration with cryo-control and fabrication teams to iterate solutions will be crucial in this role. You will need to build numerical tool-chains using Python/QuTiP/Qiskit to model error propagation, mitigation, and gate-fidelity limits. These tools will provide data-driven design insights to enhance the quantum processor's performance. Additionally, prototyping dynamical-decoupling and error-mitigation schemes will be part of your responsibilities to extend coherence and enable bias-preserving logical gates. In this position, it is essential to publish peer-reviewed papers, file patents, and author internal Department of Energy (DoE) reports that influence the company's roadmap and funding decisions. Furthermore, you will play a key role in championing rigorous peer reviews, mentoring junior researchers, and promoting cross-functional knowledge-sharing within the organization. To excel in this role, you are required to have a PhD or MS in Physics, Mathematics, Computer Science, or a related field with a focus on quantum technologies. A minimum of 3 years of experience in designing quantum error-correction codes and fault-tolerant architectures is necessary. Proficiency in Python, MATLAB, and quantum software stacks for large-scale simulations and data analysis is a must. Hands-on experience with dynamical decoupling and error-mitigation techniques on experimental platforms is highly desirable. A strong track record of peer-reviewed publications and successful research projects is also expected. Additionally, familiarity with noise-biased bosonic codes, experience in writing DoE and experimental-improvement reports, and a background in cryogenic control electronics, RF instrumentation, or superconducting-qubit fabrication are preferred qualifications. Proven patent filings or open-source contributions in quantum technology, exposure to GPU-accelerated simulators, and engagement with industry consortia or standards bodies advancing quantum-error-correction research will be advantageous in this role. As the Quantum Processor Architect, your skill set should include expertise in numerical tool-chains, qubit-control schemes, artificial intelligence, dynamical decoupling, Python-based quantum platforms, quantum error-correction codes, problem-solving, superconducting-qubit error-correction schemes, computational modeling of quantum circuits, LDPC codes, communication, quantum software stacks, and fault-tolerant architectures. Your contributions will play a critical role in advancing the company's capabilities in the field of quantum computing and semiconductor engineering.,