Job Description
Join the frontier of human advancement as our 2026 Quantum AI Research Lead. You'll architect breakthrough solutions at the intersection of quantum computing and artificial intelligence, pioneering technologies that will redefine industries within the next decade. At Nexus Quantum Labs, we're not just preparing for the future—we're actively building it. Our state-of-the-art facility in San Francisco's tech hub offers unparalleled resources for world-changing research.
This role demands visionary thinking paired with rigorous scientific expertise. You'll lead a multidisciplinary team of physicists, machine learning engineers, and computational theorists to develop scalable quantum neural networks and hybrid AI systems. Your work will directly impact fields from drug discovery to climate modeling, solving problems previously deemed impossible.
Responsibilities
- Lead research initiatives in quantum machine learning and AI optimization
- Design and implement hybrid quantum-classical computing architectures
- Collaborate with Fortune 500 partners on real-world quantum AI applications
- Mentor a team of 8-12 researchers in cutting-edge methodologies
- Secure $5M+ annual research funding through NIH/NSF grants
- Author breakthrough publications in Nature/Science journals
- Develop ethical frameworks for quantum AI deployment
- Present findings at global tech summits (Davos, Web Summit)
Qualifications
- PhD in Quantum Computing, AI, or related field with 8+ years research experience
- Published 15+ peer-reviewed papers in top-tier journals
- Expertise in quantum algorithms (QAOA, VQE, Grover's)
- Proficiency with quantum computing frameworks (Qiskit, Cirq, PennyLane)
- Track record of securing major research grants
- Experience leading cross-disciplinary scientific teams
- Deep understanding of quantum error correction techniques
- Knowledge of NISQ-era hardware limitations and workarounds