Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution! We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll architect breakthrough algorithms in a state-of-the-art lab powered by next-gen quantum processors. Collaborate with Nobel laureates and industry disruptors to transform theoretical physics into practical applications across healthcare, climate modeling, and cryptography.
We offer unparalleled resources, flexible research parameters, and equity in our unicorn-status startup. Shape the future of computational intelligence while enjoying San Francisco's vibrant tech ecosystem.
Responsibilities
- Design and implement novel quantum machine learning algorithms for 2026-era computational frameworks
- Lead experimental validation of quantum-AI hybrid systems on 1000+ qubit processors
- Develop error-correction protocols for fault-tolerant quantum neural networks
- Collaborate with cross-disciplinary teams to translate research into patentable IP
- Publish findings in Nature/Science journals and present at premier quantum conferences
- Mentor PhD researchers in quantum computational theory
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Machine Learning (or equivalent experience)
- 3+ years of hands-on quantum algorithm development using Qiskit/Cirq/PennyLane
- Published research in quantum machine learning or quantum information theory
- Expertise in tensor network simulations and quantum circuit optimization
- Strong programming skills in Python/C++ with quantum libraries
- Experience with high-performance computing and GPU acceleration
- Demonstrated ability to secure research grants or corporate funding