Job Description
Join Nexus Labs at the forefront of 2026's technological revolution. We're seeking a Quantum Computing Architect to design next-generation quantum systems that will redefine computational boundaries. In this pivotal role, you'll architect scalable quantum solutions, pioneer error-correction methodologies, and collaborate with Nobel Prize-winning researchers to push beyond classical computing limits. Our state-of-the-art facility in San Francisco's Tech Hub offers unparalleled resources to transform theoretical physics into practical applications. If you're passionate about solving humanity's most complex challenges through quantum innovation, this is your opportunity to shape the future.
As part of our elite Future Technologies division, you'll lead cross-functional teams of physicists, engineers, and AI specialists to develop quantum-resistant cryptography, optimize molecular simulations for drug discovery, and accelerate climate modeling. We offer competitive equity packages, flexible work arrangements, and dedicated R&D budgets for cutting-edge projects.
Responsibilities
- Design scalable quantum computing architectures with 100+ qubit coherence
- Develop novel error-correction algorithms for fault-tolerant quantum systems
- Lead quantum algorithm optimization for real-world applications
- Collaborate with hardware teams to integrate quantum-classical hybrid systems
- Establish quantum security protocols for enterprise deployments
- Pioneer quantum machine learning frameworks for predictive analytics
- Present breakthrough research at global quantum technology conferences
Qualifications
- PhD in Quantum Physics, Computer Science, or related field
- 5+ years experience with quantum computing frameworks (Qiskit, Cirq)
- Published research in top-tier quantum journals (Nature Quantum, PRL)
- Expertise in quantum error correction and topological qubit design
- Proficiency in high-performance computing environments
- Experience with quantum machine learning algorithms
- Track record of translating theoretical concepts into practical systems