Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution! We're seeking a pioneering Quantum Computing Research Scientist to architect breakthrough solutions that will redefine industries. In this role, you'll collaborate with Nobel-caliber researchers to develop scalable quantum algorithms, optimize error-correction protocols, and pioneer applications in cryptography, drug discovery, and AI optimization. Our state-of-the-art lab in San Francisco offers unparalleled resourcesâincluding 256-qubit quantum processorsâto accelerate your research from theory to real-world impact.
As part of our elite Future-Tech Division, you'll shape quantum computing's next frontier while mentoring the next generation of quantum engineers. We offer competitive equity packages, flexible research schedules, and dedicated innovation grants for your experimental projects. This is your chance to solve humanity's most complex problems while being compensated at the industry's highest tier.
Responsibilities
- Design and implement novel quantum algorithms for optimization and simulation problems
- Develop and optimize quantum error correction protocols for scalable quantum processors
- Lead cross-functional teams in translating quantum research into commercial applications
- Author groundbreaking research papers for peer-reviewed journals and industry conferences
- Collaborate with AI/ML teams to create hybrid quantum-classical computing frameworks
- Secure and manage multi-million dollar research grants from government and private sectors
- Mentor junior researchers and establish quantum computing best practices
Qualifications
- PhD in Quantum Physics, Computer Science, or related field (post-doc preferred)
- 3+ years hands-on experience with quantum computing platforms (IBM Q, Rigetti, D-Wave)
- Expertise in quantum algorithms, quantum cryptography, and quantum machine learning
- Published research in Nature/Science or top-tier quantum computing journals
- Proficiency in quantum programming languages (Qiskit, Cirq, Q#) and Python
- Demonstrated success in securing government or corporate research funding
- Strong background in linear algebra, complex analysis, and computational complexity theory