Job Description
Shape the future of technology as Quantum AI Research Lead at Nexus Quantum Labs. We're pioneering the intersection of quantum computing and artificial intelligence to solve humanity's most complex challenges by 2026. Join our elite team of visionaries in developing next-generation quantum neural networks and AI-driven quantum optimization algorithms. You'll lead groundbreaking research initiatives with access to our state-of-the-art quantum computing lab and collaborate with Nobel laureates and industry pioneers. This role offers unparalleled opportunities to publish in top-tier journals and contribute to patents that will define the next technological revolution.
Responsibilities
- Lead cross-functional teams in developing quantum AI algorithms for machine learning and optimization
- Design and implement hybrid quantum-classical computing systems for enterprise applications
- Collaborate with hardware teams to advance quantum error correction and qubit stability
- Publish high-impact research in IEEE Nature and peer-reviewed journals
- Drive quantum AI strategy alignment with 2026 technological roadmap milestones
- Mentor junior researchers and foster innovation in quantum machine learning techniques
- Secure external funding through NSF and DARPA grant applications
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 5+ years industry experience
- Proven track record in quantum algorithm development and quantum machine learning
- Expertise in Python, C++, and quantum programming frameworks (Qiskit, Cirq)
- Deep understanding of quantum error correction and fault-tolerant architectures
- Demonstrated success in leading technical teams and complex R&D projects
- Published research in top-tier quantum computing or AI conferences/journals
- Strong background in high-performance computing and distributed systems