Job Description
Join Nexus Innovations at the forefront of technological evolution as we pioneer the next quantum-AI frontier for 2026. We seek a visionary Quantum AI Research Lead to architect breakthrough solutions that will redefine computational boundaries. This role demands a blend of theoretical expertise and hands-on innovation in quantum machine learning, neural networks, and algorithmic optimization. You'll collaborate with Nobel laureates and Silicon Valley disruptors to transform abstract concepts into scalable systems.
Our San Francisco hub offers unparalleled resources: quantum annealing hardware access, GPU-accelerated cloud clusters, and direct partnerships with MIT and Stanford research labs. We provide competitive equity packages, unlimited R&D budgets, and flexible hybrid work arrangements for exceptional candidates.
Responsibilities
- Design and implement quantum-enhanced AI algorithms for 2026-era applications
- Lead cross-disciplinary teams in quantum hardware-software integration
- Develop patent-pending solutions for quantum neural networks and optimization
- Present breakthrough findings at premier conferences (NeurIPS, QIP)
- Establish strategic partnerships with quantum computing pioneers
- Drive ethical AI frameworks for next-gen autonomous systems
- Secure $5M+ in research grants and venture funding
- Mentor PhD researchers and postdoctoral fellows
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field
- 5+ years experience in quantum algorithm development
- Published research in Nature/Science or equivalent tier journals
- Expertise in Qiskit, Cirq, and quantum error correction
- Proven track record of commercializing AI innovations
- Deep understanding of quantum supremacy benchmarks
- Experience with large-scale distributed computing frameworks
- Strong background in theoretical physics and information theory