Job Description
Join Nexus Labs at the forefront of technological innovation as we pioneer quantum computing breakthroughs for 2026. We're seeking a visionary Quantum Computing Researcher to develop next-generation algorithms and hardware solutions that will redefine computational boundaries. This role offers unparalleled opportunities to work with cutting-edge quantum processors and collaborate with Nobel Prize-winning physicists in our state-of-the-art San Francisco facility.
You'll contribute to our Quantum Advantage Initiative, developing error-correction protocols and quantum machine learning models. The ideal candidate thrives in interdisciplinary environments, blending theoretical physics with practical engineering to solve previously unsolvable problems in cryptography, materials science, and AI optimization.
Responsibilities
- Design and implement novel quantum algorithms for practical applications in finance, logistics, and drug discovery
- Develop quantum error-correction techniques to achieve fault-tolerant computing
- Collaborate with hardware teams to optimize quantum processor architectures
- Lead research initiatives in quantum machine learning and quantum neural networks
- Publish breakthrough findings in top-tier journals and present at international conferences
- Mentor junior researchers and cross-functional engineering teams
- Secure federal grants and industry partnerships for quantum research projects
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 5+ years of quantum research experience
- Published work in quantum algorithms, quantum information theory, or quantum hardware
- Proficiency in quantum programming languages (Qiskit, Cirq) and classical simulation tools
- Demonstrated experience with superconducting quantum processors or trapped-ion systems
- Strong background in linear algebra, complex analysis, and statistical mechanics
- Track record of securing research funding from NSF, DARPA, or equivalent institutions
- Expertise in quantum error correction and fault-tolerant computing architectures