Job Description
Join Nexus Labs at the forefront of quantum innovation as we pioneer breakthroughs to redefine computing by 2026. We're seeking a Quantum Computing Research Scientist to develop next-generation algorithms and hardware solutions that will solve previously impossible computational challenges. This role offers unparalleled opportunity to shape the future of technology in a collaborative, cutting-edge environment.
As part of our elite research team, you'll work alongside Nobel Prize-winning physicists and industry veterans to push the boundaries of quantum supremacy. Our state-of-the-art facility in San Francisco provides access to quantum processors, cryogenic systems, and collaborative workspaces designed for revolutionary thinking.
Responsibilities
- Design and implement novel quantum algorithms for optimization, cryptography, and machine learning applications
- Conduct advanced research on quantum error correction and fault-tolerant systems
- Collaborate with hardware engineers to develop quantum processor architectures targeting 2026 deployment milestones
- Publish high-impact research in leading scientific journals and present findings at international conferences
- Lead cross-functional projects integrating quantum solutions with classical computing infrastructure
- Develop quantum software frameworks and APIs for enterprise applications
- Mentor junior researchers and contribute to patent development initiatives
Qualifications
- PhD in Physics, Computer Science, or related field with focus on quantum information science
- 3+ years of hands-on experience with quantum programming languages (Q#, Qiskit, Cirq)
- Proven track record of peer-reviewed publications in quantum computing or theoretical physics
- Expertise in quantum error correction protocols and fault-tolerant architectures
- Strong background in linear algebra, probability theory, and quantum mechanics
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)
- Demonstrated ability to translate complex theoretical concepts into practical implementations