Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer the 2026 quantum-AI convergence frontier. We're seeking a visionary Research Lead to architect next-generation quantum neural networks that will redefine computational boundaries. This role offers unparalleled resources to incubate breakthroughs in quantum machine learning, cryptography, and autonomous systems. You'll collaborate with Nobel laureates and lead a multidisciplinary team in our state-of-the-art quantum lab, where your innovations will directly shape the technological landscape of tomorrow.
Responsibilities
- Design and implement quantum-AI hybrid algorithms for 2026-scale computational challenges
- Lead research initiatives in quantum-resistant cryptography and neural quantum computing
- Drive cross-functional innovation between quantum physics and deep learning teams
- Develop patent-pending methodologies for quantum error correction in neural networks
- Present breakthrough findings at premier international conferences and publish in Nature/Science
- Mentor PhD researchers and secure $5M+ in government/industry grants
- Architect quantum-AI infrastructure for 2026 autonomous systems deployment
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Machine Learning (post-doc preferred)
- 5+ years of experience in quantum algorithm development or neural network research
- Published work in top-tier journals (Nature, Science, IEEE) on quantum-AI integration
- Expertise in quantum programming languages (Qiskit, Cirq) and AI frameworks (PyTorch, TensorFlow)
- Deep understanding of quantum decoherence and error correction methodologies
- Proven track record of securing federal research grants (NSF, DARPA)
- Experience leading high-stakes R&D teams in cutting-edge tech environments