Job Description
Join Nexus Future Labs at the forefront of 2026's technological revolution. We're seeking a visionary Quantum AI Research Lead to architect the next generation of hybrid quantum-neural systems that will redefine computational boundaries. This role offers unparalleled opportunity to pioneer breakthroughs in quantum machine learning while mentoring a world-class research team in our state-of-the-art San Francisco facility.
Responsibilities
- Lead cross-disciplinary teams in developing quantum-entangled neural networks for real-world applications
- Design fault-tolerant quantum algorithms optimized for 2026-era hardware constraints
- Pioneer hybrid quantum-classical architectures for climate modeling and drug discovery
- Secure $5M+ in government/industry grants for quantum-AI initiatives
- Publish 3+ high-impact papers annually in Nature/Science journals
- Collaborate with MIT/Stanford on quantum supremacy benchmarks
- Mentor PhD researchers in quantum machine learning methodologies
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics with 5+ years industry experience
- Published peer-reviewed research in quantum machine learning or quantum supremacy
- Expertise in Qiskit, Cirq, and quantum error correction protocols
- Track record of securing federal research grants (NSF/DOE)
- Proficiency in tensor network simulations and quantum circuit optimization
- Experience leading teams of 10+ researchers in high-pressure environments
- Deep understanding of NISQ-era limitations and 2026 hardware roadmaps