Job Description
Join Nexus Quantum Labs, a pioneer in next-generation computational technologies, as we redefine the boundaries of human capability. We seek a visionary Quantum Computing Research Scientist to spearhead breakthrough projects that will shape the technological landscape of 2026 and beyond. Our state-of-the-art facility in San Francisco offers unparalleled resources for ambitious researchers to transform theoretical concepts into tangible innovations.
This role is ideal for candidates passionate about solving humanity's most complex challenges through quantum mechanics and computational theory. You'll collaborate with Nobel laureates and industry disruptors in an environment that values audacious thinking and rigorous scientific exploration.
Responsibilities
- Design and implement quantum algorithms to solve optimization problems in cryptography, materials science, and AI
- Lead experimental quantum computing projects using superconducting qubits and photonic systems
- Develop novel error-correction techniques to advance quantum decoherence mitigation
- Publish groundbreaking research in top-tier journals and present findings at international conferences
- Mentor junior researchers and foster cross-functional collaboration between physics, computer science, and engineering teams
- Secure external funding through NSF grants and industry partnerships
- Translate theoretical quantum models into practical applications for commercial deployment
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 3+ years of research experience
- Expertise in quantum programming languages (Qiskit, Cirq) and quantum circuit design
- Proven track record of peer-reviewed publications in quantum computing or theoretical physics
- Deep understanding of quantum error correction and fault-tolerant architectures
- Proficiency in Python, C++, and high-performance computing environments
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, or IonQ)
- Demonstrated ability to secure research funding and manage complex experimental projects
- Strong background in machine learning and its intersection with quantum systems