Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer breakthroughs that will define 2026 and beyond. We're seeking a visionary Quantum Computing Researcher to develop next-generation algorithms and hardware solutions that will revolutionize computational paradigms. In this role, you'll collaborate with Nobel laureates and industry disruptors to solve humanity's most complex challenges in cryptography, materials science, and artificial intelligence.
Our state-of-the-art Quantum Research Center in San Francisco offers unparalleled resources, including access to 128-qubit processors and exclusive partnerships with NASA and MIT. We provide competitive equity packages, flexible hybrid work arrangements, and dedicated research time for experimental breakthroughs.
Responsibilities
- Design and implement novel quantum algorithms for practical applications in machine learning and optimization
- Lead experimental validation of quantum hardware prototypes in cryogenic environments
- Collaborate with cross-functional teams to translate theoretical models into scalable solutions
- Publish peer-reviewed research and present findings at premier conferences like Q2B and IEEE Quantum Week
- Secure $2M+ in research funding through NSF and DARPA grant applications
- Mentor PhD candidates and junior researchers in quantum information theory
- Develop intellectual property portfolios with 5+ patents annually
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science from an R1 institution
- 3+ years hands-on experience with quantum programming languages (Qiskit, Cirq, or Q#)
- Published research in Nature/Science or top-tier quantum computing journals
- Expertise in quantum error correction and fault-tolerant architectures
- Strong background in linear algebra, complex analysis, and computational complexity
- Proven track record of securing government or industry research grants
- Proficiency with superconducting qubit manipulation and measurement techniques
- Demonstrated ability to lead cross-disciplinary research initiatives