Job Description
Join Nexus Quantum Dynamics in pioneering the next frontier of computational intelligence. As a Quantum AI Research Lead in 2026, you'll architect hybrid quantum-neural systems that solve previously impossible optimization problems. Our interdisciplinary team operates at the intersection of quantum physics, machine learning, and materials science to redefine technological boundaries. This role offers unparalleled access to our 128-qubit quantum annealer and collaborative partnerships with MIT and NASA's quantum initiatives.
Responsibilities
- Design quantum algorithms for real-world optimization challenges in logistics, cryptography, and drug discovery
- Lead a cross-functional team of quantum physicists and ML engineers
- Develop error mitigation protocols for quantum-classical hybrid systems
- Publish breakthrough research in Nature Quantum and IEEE journals
- Secure $5M+ in government/industry grants for quantum AI projects
- Architect fault-tolerant quantum neural networks using Qiskit and Cirq
- Mentor PhD candidates in quantum machine learning methodologies
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 5+ years industry experience
- Expertise in quantum error correction and topological qubit manipulation
- Proven track record of publishing in quantum information science
- Proficiency in Python, Q#, and quantum circuit optimization frameworks
- Experience securing NSF/DOE grants for quantum research
- Deep understanding of quantum supremacy benchmarks and NISQ limitations
- Published work on quantum-enhanced reinforcement learning systems