Job Description
Join Nexus Labs at the forefront of quantum innovation as we architect the computational landscape of 2026. We seek a visionary Quantum Computing Research Scientist to develop groundbreaking algorithms and protocols that will redefine technological capabilities. In this pivotal role, you'll collaborate with Nobel laureates and industry pioneers to solve humanity's most complex challenges.
Our state-of-the-art facility in San Francisco offers unparalleled resources for quantum experimentation, including 128-qubit processors and cryogenic infrastructure. You'll lead projects in quantum machine learning, cryptography optimization, and materials discovery, with direct impact on fields from pharmaceuticals to climate modeling.
We offer competitive equity packages, flexible hybrid work arrangements, and dedicated research funding. Join us in building the quantum ecosystem that will power the next decade of human progress.
Responsibilities
- Design and implement novel quantum algorithms for optimization and simulation problems
- Lead experimental validation of quantum protocols using superconducting qubit systems
- Develop error correction methodologies for fault-tolerant quantum computing
- Collaborate with AI teams to integrate quantum accelerators into machine learning pipelines
- Publish breakthrough research in top-tier journals and industry whitepapers
- Secure government and corporate funding for quantum computing initiatives
- Mentor junior researchers and contribute to patent portfolios
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 5+ years of research experience
- Expertise in quantum circuit design and quantum algorithm development
- Proficiency with quantum programming languages (Qiskit, Cirq, or Q#)
- Publication record in Nature/Science or equivalent quantum computing venues
- Experience with cryogenic quantum hardware and control systems
- Deep understanding of quantum error correction and fault tolerance
- Strong background in machine learning or computational complexity theory
- Ability to translate theoretical concepts into experimental implementations