Job Description
Join Nexus Quantum Labs at the frontier of 2026's technological revolution! We're seeking a pioneering Quantum AI Research Scientist to architect the next generation of hybrid quantum-neural systems. Our multidisciplinary team operates at the intersection of quantum computing, artificial intelligence, and materials science, pushing beyond classical computing limits. You'll leverage our $500M R&D infrastructure to solve previously unsolvable problems in cryptography, drug discovery, and climate modeling. This role offers unparalleled access to 100-qubit quantum processors and industry-leading AI accelerators, with opportunities to publish in Nature/Science and shape the quantum landscape.
Responsibilities
- Design and implement novel quantum algorithms for machine learning acceleration
- Develop hybrid quantum-classical neural network architectures for 2026-era applications
- Lead experimental validation of quantum advantage in computational chemistry simulations
- Collaborate with Nobel Prize-winning physicists on quantum error correction breakthroughs
- Author whitepapers on quantum AI security protocols for post-quantum cryptography
- Mentor PhD candidates in our Quantum-AI Fellowship program
- Secure $10M+ in DARPA/NSF research grants for quantum-AI initiatives
Qualifications
- PhD in Quantum Physics, Computer Science, or Applied Mathematics (postdoc preferred)
- Expertise in quantum programming languages (Qiskit, Cirq, Q#)
- Published research in top-tier journals (Nature/Science/Quantum)
- Proficiency in tensor networks and quantum machine learning frameworks
- Experience with superconducting quantum processors or trapped-ion systems
- Strong background in differential geometry and algebraic topology
- Track record of translating theoretical models into experimental results
- Patents in quantum information processing or AI optimization