Job Description
Join Nexus Future Labs at the forefront of technological innovation as we pioneer solutions for 2026 and beyond. We're seeking a visionary AI & Quantum Computing Research Lead to architect next-generation systems that will redefine industries. This role offers unparalleled opportunities to shape humanity's technological trajectory while collaborating with Nobel laureates and industry pioneers in our state-of-the-art San Francisco facility.
Our team operates at the intersection of artificial intelligence, quantum mechanics, and human-computer interaction. You'll lead groundbreaking research initiatives with access to quantum processors, neuromorphic computing resources, and a $50M annual R&D budget. We offer competitive equity packages, flexible work arrangements, and comprehensive benefits including sabbatical programs for deep-dive research projects.
Responsibilities
- Architect and execute quantum-AI hybrid research initiatives for 2026-era applications
- Lead cross-functional teams of quantum physicists, machine learning engineers, and domain experts
- Develop proprietary algorithms leveraging quantum supremacy for complex optimization problems
- Secure $5M+ in research grants from NSF, DARPA, and private foundations
- Publish breakthrough research in Nature/Science and present at top-tier conferences
- Collaborate with product teams to commercialize research into enterprise solutions
- Mentor junior researchers and establish lab protocols for quantum-AI integration
Qualifications
- PhD in Quantum Computing, AI, or related field with 8+ years research experience
- Published 15+ peer-reviewed papers in quantum machine learning or quantum algorithms
- Expertise in quantum circuit design, error correction, and quantum annealing
- Proven track record securing federal research grants ($2M+)
- Proficiency in Python, Qiskit, TensorFlow Quantum, and quantum simulators
- Experience leading teams of 10+ researchers in high-stakes environments
- Demonstrated ability to translate complex theoretical concepts into practical applications