Job Description
Join Nexus Future Labs at the forefront of technological evolution. We're seeking a visionary 2026 Quantum AI Research Lead to architect the next generation of human-machine symbiosis. This role pioneers breakthroughs in quantum-enhanced neural networks and predictive modeling for autonomous systems. You'll lead a multidisciplinary team pushing boundaries in computational biology and decentralized AI governance. Our state-of-the-art San Francisco campus offers unparalleled resources for revolutionary work that will redefine industries by 2026.
Responsibilities
- Design and implement quantum machine learning architectures for predictive analytics
- Lead cross-functional teams in developing ethical AI frameworks for autonomous decision-making
- Drive innovation in neuromorphic computing and human-AI collaboration systems
- Establish strategic partnerships with academic institutions and quantum computing pioneers
- Translate theoretical quantum algorithms into scalable commercial applications
- Develop governance protocols for AI systems operating in decentralized networks
- Author whitepapers on quantum AI's societal impact and ethical implications
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics
- 5+ years leading R&D teams in quantum or advanced AI domains
- Published research in Nature/Science on quantum algorithms or neural networks
- Expertise in quantum programming languages (Qiskit, Cirq) and tensor frameworks
- Proven track record of commercializing quantum technologies
- Deep understanding of ethical AI governance frameworks (EU AI Act, NIST RMF)
- Experience with large-scale distributed computing and blockchain integration