Job Description
Join Nexus Future Labs at the forefront of technological evolution as we pioneer the next generation of quantum-AI integration systems. We're seeking a visionary Quantum AI Research Lead to architect breakthrough solutions that will redefine computational capabilities by 2026. In this role, you'll lead a multidisciplinary team to develop hybrid quantum-neural architectures, pushing the boundaries of machine learning and quantum supremacy. Our state-of-the-art facility in San Francisco offers unparalleled resources to accelerate your research into practical applications across healthcare, climate modeling, and cryptography.
We provide competitive equity packages, flexible work arrangements, and dedicated R&D funding for your most ambitious projects. If you're ready to shape the technological landscape of tomorrow, we want to hear from you.
Responsibilities
- Lead the development of novel quantum-AI hybrid algorithms for complex problem-solving
- Direct a team of 12+ researchers in experimental quantum computing and machine learning integration
- Collaborate with industry partners to translate theoretical models into commercial applications
- Publish breakthrough research in top-tier journals and conferences
- Secure and manage multi-million dollar research grants from federal and private sources
- Develop strategic roadmaps for quantum-AI adoption across enterprise sectors
- Maintain compliance with quantum security protocols and ethical AI frameworks
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics with 5+ years of research experience
- Proven track record in publishing quantum-AI hybrid systems research
- Expertise in quantum machine learning frameworks (Qiskit, Cirq, PennyLane)
- Strong background in neural network architecture and deep learning optimization
- Demonstrated success in securing federal research grants (NSF, DOE, DARPA)
- Experience leading cross-functional technical teams of 10+ members
- Knowledge of quantum error correction and fault-tolerant computing principles
- Published work in Nature, Science, or equivalent high-impact journals