Job Description
Join Nexus Quantum Labs to architect the future of artificial intelligence by 2026. We're pioneering quantum-enhanced machine learning models that will redefine global technological landscapes. As our Quantum AI Research Lead, you'll drive breakthroughs at the intersection of quantum computing and generative AI, shaping the next decade of innovation.
Why Nexus Quantum Labs? We offer unparalleled resources, a culture of radical innovation, and the opportunity to solve humanity's most complex problems. Our 2026 roadmap includes developing fault-tolerant quantum neural networks and ethical AI frameworks that will transform industries from healthcare to climate science.
Responsibilities
- Lead R&D initiatives in quantum machine learning algorithms for 2026-era applications
- Design and implement hybrid quantum-classical computing architectures
- Collaborate with Nobel laureates and industry pioneers on ethical AI frameworks
- Publish breakthrough research in top-tier journals and conferences
- Mentor a multidisciplinary team of quantum physicists and AI specialists
- Secure $10M+ in research grants for 2026 technology roadmaps
- Partner with NASA, MIT, and CERN on next-gen quantum simulations
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics (post-doc preferred)
- 5+ years experience with quantum algorithm development (Qiskit/Cirq)
- Published research in Nature/Science on quantum machine learning
- Expertise in tensor networks and quantum error correction
- Proven track record securing government/industry research funding
- Deep understanding of quantum advantage benchmarks and NISQ limitations
- Fluency in Python, C++, and quantum circuit optimization