Job Description
Join Nexus Quantum Labs at the forefront of computational revolution as we pioneer breakthroughs in quantum technology for 2026. We seek a visionary Quantum Computing Architect to design next-generation quantum systems that will redefine industries. This role offers unparalleled opportunity to shape humanity's technological future while working with Nobel Prize-winning researchers in our state-of-the-art Silicon Valley facility. Enjoy competitive compensation, flexible work arrangements, and comprehensive benefits including equity in our rapidly growing unicorn.
Why Nexus Quantum Labs? We're not just building quantum computers – we're architecting the computational paradigm of tomorrow. Our interdisciplinary team combines quantum physics, AI, and materials science to solve previously impossible problems. You'll collaborate with pioneers from MIT, IBM Quantum, and Google AI while contributing to projects that will impact medicine, climate science, and artificial intelligence.
Responsibilities
- Design and implement fault-tolerant quantum architectures for enterprise-scale applications
- Lead development of hybrid quantum-classical computing frameworks
- Optimize quantum algorithms for NISQ-era hardware limitations
- Collaborate with quantum hardware teams to co-design qubit topologies
- Establish quantum security protocols for next-gen cryptography
- Develop error mitigation strategies for 100+ qubit systems
- Mentor junior quantum engineers in cutting-edge research methodologies
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 5+ years of experience in quantum algorithm development or quantum architecture
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
- Deep understanding of quantum error correction codes and fault tolerance
- Published research in peer-reviewed quantum computing journals
- Experience with quantum hardware integration (superconducting, photonic, or trapped-ion)
- Strong background in linear algebra, quantum mechanics, and computational complexity