Job Description
Join Nexus Future Labs at the forefront of technological evolution. We're pioneering quantum-AI hybrid systems that will redefine computing by 2026. As our Quantum AI Research Lead, you'll architect next-gen algorithms merging quantum supremacy with neural networks, pushing boundaries in computational efficiency and machine learning capabilities.
This role offers unparalleled resources: dedicated quantum lab access, collaboration with Nobel laureates, and budget for cutting-edge hardware. Your work will directly impact breakthroughs in drug discovery, climate modeling, and autonomous systems.
Responsibilities
- Design and implement quantum-AI hybrid algorithms for 2026-scale computational challenges
- Lead cross-disciplinary teams of quantum physicists, ML engineers, and domain specialists
- Develop error-correction protocols for near-fault-tolerant quantum systems
- Publish peer-reviewed research in top-tier journals/conferences
- Secure $2M+ annual research funding through NSF and DARPA partnerships
- Architect quantum cloud infrastructure supporting 10,000+ qubit operations
- Mentor PhD researchers in quantum machine learning methodologies
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 5+ years research
- Published work in Nature/Science or equivalent quantum computing journals
- Expertise in Qiskit, Cirq, or similar quantum programming frameworks
- Proven track record of securing federal research grants
- Deep understanding of quantum error correction and fault tolerance
- Experience with quantum hardware (IBM Quantum, Rigetti, IonQ)
- Strong background in neural network optimization and reinforcement learning
- Patent portfolio in quantum or AI technologies preferred