Job Description
Join Nexus Quantum Systems at the forefront of technological evolution as we pioneer the 2026 quantum-AI convergence frontier. We seek an exceptional Research Lead to architect the next generation of hybrid quantum-AI systems that will redefine computational possibilities. This role demands a visionary who can bridge theoretical physics and machine learning to solve humanity's most complex challenges.
Responsibilities
- Lead cross-functional R&D teams in developing quantum-AI algorithms for 2026-era applications
- Architect fault-tolerant quantum computing frameworks integrated with advanced neural networks
- Collaborate with MIT/Stanford research labs on quantum supremacy milestones
- Translate theoretical models into scalable prototypes for industrial deployment
- Secure $5M+ in government/venture funding for 2026 quantum initiatives
- Publish breakthrough research in Nature/Science journals
- Mentor PhD candidates in quantum machine learning disciplines
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or AI with 8+ years research experience
- Published work on quantum neural networks or quantum machine learning
- Expertise in Qiskit, Cirq, and TensorFlow Quantum frameworks
- Proven track record of securing federal research grants
- Deep understanding of quantum error correction protocols
- Experience with superconducting qubit architectures
- Demonstrated ability to lead international research consortia