Job Description
Step into the future with Nexus Quantum Labs, where we're pioneering the quantum revolution of 2026. We're seeking an exceptional Quantum Computing Research Scientist to join our elite R&D team in San Francisco. As a key architect of tomorrow's computational paradigm, you'll develop breakthrough algorithms and error-correction techniques that will redefine industries. Our state-of-the-art lab offers unparalleled resources for quantum experimentation, and our collaborative environment fosters cross-disciplinary innovation with Nobel laureates and industry pioneers.
We provide competitive equity packages, flexible work arrangements, and dedicated research funding. This is your chance to solve humanity's most complex challengesâfrom drug discovery to climate modelingâwhile shaping the technological landscape for decades to come.
Responsibilities
- Design and implement novel quantum algorithms for optimization and simulation problems
- Develop advanced quantum error correction protocols to enhance qubit stability
- Lead experimental research in superconducting and photonic quantum systems
- Collaborate with AI teams to integrate quantum machine learning frameworks
- Author peer-reviewed publications and present findings at global quantum conferences
- Mentor junior researchers and contribute to patent development
- Interface with industry partners to translate theoretical research into commercial applications
Qualifications
- PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
- Expertise in quantum mechanics, linear algebra, and quantum information theory
- Proficiency with quantum programming languages (Qiskit, Cirq, Q#)
- Publication record in top-tier quantum computing journals/conferences
- Experience with cryogenic systems and microwave control electronics
- Strong background in machine learning and classical computing optimization
- Proven ability to lead complex research projects with measurable outcomes
- Excellent communication skills for technical and non-technical audiences