Job Description
Join Nexus Labs at the forefront of quantum innovation as we build the computational backbone of 2026. We're seeking a visionary Quantum Computing Research Scientist to develop next-gen algorithms and solve previously unsolvable problems in cryptography, materials science, and AI optimization. This role offers unparalleled access to cutting-edge quantum hardware and a collaborative environment where your breakthroughs will shape the future of technology.
Our state-of-the-art Quantum Acceleration Lab features 100+ qubit processors and partners with leading institutions like MIT and CERN. You'll work alongside Nobel laureates and publish groundbreaking research while contributing to projects that will redefine industries by 2026.
Responsibilities
- Design and implement novel quantum algorithms for practical applications in finance, logistics, and drug discovery
- Lead research initiatives on quantum error correction and fault-tolerant systems
- Collaborate with hardware teams to optimize quantum circuit performance on superconducting processors
- Develop hybrid quantum-classical computing frameworks for enterprise solutions
- Publish peer-reviewed papers and present findings at premier conferences (QIP, APS March Meeting)
- Secure federal and private research funding through grant proposals
- Mentor junior researchers in quantum programming and theoretical physics
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field (or equivalent research experience)
- 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, Q#)
- Published research in quantum algorithms or quantum information theory
- Expertise in quantum error correction codes and fault-tolerant architectures
- Strong background in linear algebra, complex analysis, and computational complexity
- Experience with high-performance computing and parallel processing
- Demonstrated ability to translate theoretical concepts into practical implementations
- Preferred: Experience with quantum machine learning or quantum simulation