Job Description
Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We seek a visionary Quantum Computing Research Scientist to develop groundbreaking algorithms and hardware architectures that will redefine computational paradigms. You'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art facility, contributing to projects that solve humanity's most complex challenges—from climate modeling to drug discovery.
As part of our elite Future Horizons division, you'll access unprecedented resources including quantum annealers, superconducting qubit arrays, and a $50M annual R&D budget. This role offers unparalleled opportunities to shape the technological landscape of the next decade while enjoying comprehensive benefits including equity grants, flexible remote work options, and sabbatical programs.
Responsibilities
- Design and implement novel quantum algorithms for optimization and simulation problems
- Lead research initiatives in quantum error correction and fault-tolerant systems
- Collaborate with hardware teams to develop next-generation qubit architectures
- Publish breakthrough research in top-tier journals and industry conferences
- Mentor junior researchers and cross-functional engineering teams
- Secure patents and intellectual property for quantum computing innovations
- Develop strategic roadmaps for quantum advantage in commercial applications
Qualifications
- PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
- 3+ years of hands-on quantum computing research experience
- Expertise in quantum algorithm design (QAOA, VQE, Grover's variants)
- Proficiency with quantum programming frameworks (Qiskit, Cirq, Q#)
- Published work in quantum computing or quantum information theory
- Strong background in linear algebra, probability, and computational complexity
- Experience with superconducting or photonic quantum systems
- Ability to translate theoretical concepts into practical implementations