Job Description
Join Nexus Futures Institute at the forefront of 2026's technological revolution. We're pioneering quantum-AI convergence that will redefine human capability. As our Quantum AI Research Lead, you'll architect breakthrough systems at the intersection of quantum computing, neural networks, and predictive analytics. This role offers unparalleled opportunity to shape humanity's next paradigm shift while working in Austin's dynamic innovation ecosystem.
Responsibilities
- Lead quantum-AI algorithm development for predictive modeling systems
- Design fault-tolerant quantum neural networks with 1000+ qubit scalability
- Collaborate with MIT and Caltech on quantum-AI hybrid computing frameworks
- Develop real-time anomaly detection systems for global infrastructure networks
- Present findings at World Economic Forum and IEEE Quantum Computing Summits
- Mentor cross-disciplinary teams of physicists and machine learning engineers
- Secure $10M+ in DARPA and NSF research grants
Qualifications
- PhD in Quantum Computing, AI, or Physics with 5+ years industry experience
- Published 3+ papers in Nature/Science on quantum machine learning
- Expertise in Qiskit, Cirq, and D-Wave quantum programming frameworks
- Proven track record of leading quantum-AI projects with commercial impact
- Deep understanding of quantum error correction and decoherence mitigation
- Experience with neuromorphic computing and quantum neural networks
- Clearance for Department of Energy research collaborations