Job Description
Join Nexus Future Labs at the forefront of technological innovation as we prepare for the quantum revolution of 2026. We seek a visionary Quantum Computing Research Lead to architect next-gen quantum algorithms and drive breakthroughs in computational capabilities. This role offers unparalleled opportunities to shape the future of AI, cryptography, and materials science while collaborating with Nobel laureates and industry pioneers. Our state-of-the-art facility in San Francisco provides an environment where theoretical physics meets practical application.
Why Nexus Future Labs?
- Competitive equity packages in a pre-IPO quantum computing unicorn
- Access to quantum hardware from industry leaders like IBM and Google
- Collaborative research partnerships with MIT and Stanford
- Flexible remote work with quarterly in-person innovation sprints
Responsibilities
- Design and implement quantum algorithms for 2026-era applications in AI optimization and molecular modeling
- Lead cross-functional teams of physicists and software engineers to achieve quantum advantage milestones
- Publish groundbreaking research in Nature/Science journals with real-world commercialization pathways
- Develop quantum error correction protocols for fault-tolerant computing systems
- Secure $5M+ in research grants from DARPA and NSF
- Mentor PhD candidates in quantum information science
- Architect hybrid quantum-classical computing frameworks for enterprise clients
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 5+ years industry experience
- Published research in quantum algorithms or quantum error correction
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
- Track record of translating theoretical models into practical implementations
- Expertise in superconducting qubit or photonic quantum systems
- Strong background in machine learning and high-performance computing
- Experience securing government research grants
- Validated ability to lead technical teams through complex research cycles