Job Description
Join Nexus Quantum Labs at the forefront of computational revolution as we pioneer quantum systems for 2026 and beyond. We seek visionary researchers to develop next-gen quantum algorithms, solve previously unsolvable problems, and shape the future of technology. Our state-of-the-art facility in San Francisco offers unparalleled resources and collaboration opportunities with Nobel laureates and industry pioneers.
This role demands cutting-edge expertise in quantum mechanics and machine learning, with a focus on practical applications in cryptography, materials science, and AI optimization. You will lead breakthrough projects that redefine computational boundaries while mentoring the next generation of quantum innovators.
Responsibilities
- Design and implement novel quantum algorithms for complex optimization problems
- Lead research on fault-tolerant quantum computing architectures for 2026 deployment
- Collaborate with hardware teams to integrate quantum-classical hybrid systems
- Publish high-impact research in top-tier journals and conferences
- Secure patents for quantum methodologies with commercial applications
- Mentor junior researchers and cross-functional engineering teams
- Drive strategic partnerships with academic institutions and government agencies
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of hands-on experience with quantum programming (Qiskit, Cirq, Q#)
- Published research in quantum error correction or topological quantum computing
- Expertise in machine learning frameworks applied to quantum systems
- Strong background in linear algebra, probability theory, and statistical mechanics
- Proven ability to secure research funding through grants and proposals
- Experience with cloud quantum computing platforms (IBM Quantum, AWS Braket)