Job Description
Join Nexus Quantum Labs at the frontier of 2026's technological revolution. As a Quantum AI Research Scientist, you will architect breakthrough solutions merging quantum computing with artificial intelligence to solve humanity's most complex challenges. Our interdisciplinary team pioneers next-gen algorithms that redefine computational boundaries, working in state-of-the-art facilities with industry-leading resources. This role offers unparalleled opportunities to publish groundbreaking research, collaborate with Nobel laureates, and shape the future of quantum machine learning.
Responsibilities
- Design and implement quantum algorithms for AI optimization problems in cryptography, drug discovery, and climate modeling
- Develop hybrid quantum-classical neural networks achieving exponential speedups over classical systems
- Lead cross-functional teams in prototyping quantum AI hardware-software interfaces
- Secure $5M+ in research grants through NSF, DoE, and private partnerships
- Author high-impact publications in Nature/Science journals and present at IEEE Quantum Week
- Mentor PhD candidates in quantum machine learning methodologies
- Drive commercialization of quantum AI patents with 10+ industry applications
Qualifications
- PhD in Quantum Physics, Computer Science, or Computational Mathematics with 3+ years postdoc experience
- Expertise in quantum circuit optimization, tensor networks, and error correction protocols
- Proficiency in Qiskit, Cirq, and quantum cloud platforms (IBM, Rigetti, IonQ)
- Published research in quantum machine learning or quantum supremacy demonstrations
- Strong Python/C++ programming with parallel computing frameworks (Dask, Ray)
- Experience securing federal research grants ($500K+ preferred)
- Deep understanding of quantum decoherence mitigation in real-world systems