Job Description
Join Nexus Future Labs as a Quantum AI Research Lead to pioneer the next frontier of computational intelligence. We're seeking visionary researchers to develop hybrid quantum-neural systems capable of solving previously unsolvable problems in cryptography, materials science, and climate modeling. This role offers unparalleled resources to shape 2026's technological landscape while collaborating with Nobel laureates and industry disruptors. Our state-of-the-art lab in San Francisco provides access to quantum processors, neuromorphic chips, and dedicated ethical AI frameworks.
Responsibilities
- Lead cross-functional teams in developing quantum-enhanced machine learning algorithms
- Design scalable architectures for quantum-classical hybrid computing systems
- Publish groundbreaking research in top-tier journals (Nature, Science, etc.)
- Secure $5M+ in government/private research funding annually
- Mentor PhD-level researchers in quantum information theory
- Ensure all projects adhere to ethical AI and quantum safety protocols
- Partner with Fortune 500 companies to implement quantum AI solutions
Qualifications
- PhD in Quantum Computing, Machine Learning, or Physics (postdoc preferred)
- 5+ years of hands-on experience with quantum algorithms (QAOA, VQE)
- Published record in quantum machine learning or quantum supremacy
- Expertise in TensorFlow/PyTorch with quantum circuit integration
- Strong background in theoretical computer science complexity theory
- Proven ability to secure federal research grants (NSF, DARPA)
- Experience leading teams of 10+ researchers in high-stakes environments