Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer quantum-AI integration for 2026 and beyond. We seek a visionary Quantum AI Research Scientist to architect next-generation computational systems that will redefine industries. Your work will directly shape humanity's digital future through groundbreaking research in quantum machine learning, cryptography, and neural network optimization.
This role offers unparalleled resources, collaboration with Nobel laureates, and the opportunity to publish in Nature/Science journals. You'll lead a cross-disciplinary team of physicists, computer scientists, and ethicists to develop prototype quantum neural networks capable of solving previously intractable problems.
Responsibilities
- Design and implement quantum machine learning algorithms for 2026-era computational challenges
- Lead development of hybrid quantum-classical neural network architectures
- Collaborate with hardware teams to optimize quantum circuit designs for AI applications
- Publish breakthrough research in top-tier scientific journals and conferences
- Mentor junior researchers and supervise PhD-level quantum AI projects
- Develop ethical frameworks for quantum-AI deployment in critical infrastructure
- Secure $2M+ in annual research funding through NSF/DARPA proposals
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 5+ years research experience
- Expertise in quantum algorithms (Shor's, Grover's, VQE) and error correction techniques
- Proven track record publishing in Nature/Science or equivalent tier-1 venues
- Proficiency in quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Deep understanding of quantum machine learning and quantum neural networks
- Experience leading research teams with $1M+ budgets
- Strong background in cryptography and information theory
- Published work on quantum-classical hybrid systems