Job Description
Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Lead to architect the next generation of computational paradigms. This role combines cutting-edge quantum physics with practical business applications, driving breakthroughs in cryptography, AI optimization, and material science. Our state-of-the-art facility in San Francisco's tech hub offers unparalleled resources and collaborative opportunities with Nobel laureates and industry disruptors.
What you'll achieve: Lead a multidisciplinary team in developing quantum algorithms that solve previously impossible problems. Shape our quantum roadmap for 2026 commercialization and publish groundbreaking research in top-tier journals. Work directly with Fortune 500 partners to implement quantum-secure solutions.
Responsibilities
- Architect and execute quantum computing research strategies targeting 2026 commercial milestones
- Lead a team of 8+ quantum physicists and software engineers in algorithm development
- Collaborate with hardware teams to optimize quantum error correction protocols
- Develop quantum-secure encryption standards for next-gen cybersecurity frameworks
- Publish 3+ peer-reviewed papers annually and present at major quantum conferences
- Partner with C-suite executives to translate quantum innovations into market-ready products
- Secure $2M+ in annual research funding through grant proposals and industry partnerships
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 5+ years industry experience
- Published research in quantum algorithms or quantum error correction (arXiv/IEEE)
- Proficiency in quantum programming languages (Qiskit, Cirq, Q#)
- Experience leading cross-functional technical teams of 10+ members
- Deep understanding of NISQ-era limitations and fault-tolerant quantum computing roadmaps
- Track record of securing government/industry research grants ($1M+)
- Expertise in quantum machine learning applications for 2026-scale data challenges