Job Description
Join Nexus Quantum Solutions at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We seek a visionary Quantum Computing Architect to design and implement next-generation quantum systems that will revolutionize industries worldwide. This role offers unparalleled opportunity to shape the future of computational science in our state-of-the-art San Francisco laboratory.
As a key member of our innovation team, you will collaborate with Nobel laureates, quantum physicists, and software engineers to develop scalable quantum architectures. You'll work on bleeding-edge projects including quantum error correction, fault-tolerant systems, and hybrid quantum-classical algorithms. We offer competitive compensation, flexible work arrangements, and access to cutting-edge quantum hardware.
Responsibilities
- Design and implement fault-tolerant quantum computing architectures for enterprise applications
- Develop hybrid quantum-classical algorithms leveraging cloud platforms (AWS Braket, Azure Quantum)
- Lead quantum error correction strategies for scalable qubit systems
- Collaborate with hardware teams to optimize qubit connectivity and gate fidelity
- Create quantum security protocols for next-gen cryptographic systems
- Mentor junior quantum engineers and conduct R&D on emerging quantum technologies
- Present breakthrough findings at industry conferences and publish in peer-reviewed journals
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 5+ years industry experience
- Expertise in quantum circuit design and quantum algorithm development
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
- Deep understanding of quantum error correction and fault-tolerant computing
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
- Strong background in machine learning and high-performance computing
- Demonstrated ability to lead complex R&D projects with measurable outcomes
- Published research in quantum computing or related fields preferred