Job Description
Shape the future of artificial intelligence by 2026 with Nexus Quantum Labs. We're pioneering the intersection of quantum computing and machine learning to solve humanity's most complex challenges. As our Quantum AI Research Lead, you'll architect next-generation algorithms that redefine computational boundaries. Join our elite team in San Francisco's innovation hub to transform theoretical breakthroughs into real-world solutions across healthcare, climate modeling, and autonomous systems. This is your chance to leave an indelible mark on the AI landscape.
Responsibilities
- Design and implement quantum-enhanced machine learning models for 2026-era applications
- Lead cross-disciplinary research teams in quantum algorithm development and optimization
- Collaborate with hardware engineers to bridge quantum computing limitations with AI frameworks
- Publish breakthrough research in top-tier journals and conferences (NeurIPS, ICML, Nature)
- Drive ethical AI frameworks for quantum systems deployment
- Secure $10M+ in research grants from NSF, DARPA, and industry partners
- Mentor PhD researchers and establish 2026 quantum AI research roadmap
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics
- 5+ years of experience in quantum algorithm development or advanced ML research
- Published work in quantum machine learning or top-tier AI conferences
- Expertise in Python, TensorFlow, and quantum computing frameworks (Qiskit, Cirq)
- Proven track record of securing research funding ($5M+)
- Strong background in ethical AI governance and responsible innovation
- Experience leading high-stakes technical initiatives in fast-paced environments