Job Description
Shape the future of technology as our Quantum Computing Research Lead at Nexus Quantum Labs. We're pioneering the next frontier of computational power, and we need visionary leaders to accelerate breakthroughs by 2026. Join an elite team of physicists, engineers, and AI specialists working on revolutionary quantum algorithms, error correction protocols, and hybrid quantum-classical systems. This role offers unparalleled resources, industry-leading funding, and the opportunity to publish groundbreaking research while mentoring the next generation of quantum scientists.
Our state-of-the-art facility in San Francisco's innovation district provides direct access to quantum hardware partnerships, government research grants, and collaborative projects with global tech giants. We offer competitive compensation, flexible hybrid work arrangements, and comprehensive benefits including equity in our rapidly growing quantum startup.
Responsibilities
- Lead cross-functional teams in developing quantum algorithms for cryptography, optimization, and machine learning applications
- Design and implement error correction protocols to achieve quantum advantage by 2026
- Collaborate with hardware engineers to integrate quantum processors with classical computing infrastructure
- Secure and manage $5M+ annual research budgets through grant applications and industry partnerships
- Present breakthrough findings at premier conferences (QIP, APS March Meeting) in top-tier journals
- Mentor PhD researchers and interns in quantum information science principles
- Develop roadmaps for quantum software development kits (SDKs) accessible to enterprise clients
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field with 5+ years industry experience
- Published research in quantum error correction or algorithm development in Nature/Science journals
- Expertise in quantum programming languages (Qiskit, Cirq, Q#) and simulation frameworks
- Proven track record of securing government grants (NSF, DOE, DARPA) or corporate partnerships
- Experience leading technical teams of 10+ researchers in high-stakes R&D environments
- Deep understanding of quantum hardware limitations (superconducting, ion trap, photonic)
- Strong background in machine learning and classical-quantum hybrid systems