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 human-machine symbiosis. In this role, you'll pioneer breakthroughs in quantum computing, neural network optimization, and predictive AI that will redefine industries by 2026.
Our state-of-the-art lab in San Francisco offers unparalleled resources for experimentation and collaboration. You'll work alongside Nobel laureates and Silicon Valley pioneers to develop scalable quantum algorithms, design ethical AI frameworks, and create the technological infrastructure for tomorrow's smart ecosystems.
Responsibilities
- Lead cross-functional R&D teams in quantum machine learning development
- Architect quantum-resistant AI security protocols for 2026 deployment
- Develop predictive models for climate tech and renewable energy optimization
- Collaborate with governments on AI policy frameworks for 2030 readiness
- Publish groundbreaking research in Nature and IEEE journals
- Mentor PhD candidates in quantum neural networks
- Secure $5M+ in government and private grants
Qualifications
- PhD in Quantum Computing, AI, or Physics (or equivalent experience)
- 5+ years leading quantum algorithm development teams
- Published research in top-tier journals (Nature, Science, etc.)
- Expertise in Qiskit, Cirq, or equivalent quantum programming frameworks
- Deep understanding of NISQ-era limitations and 2026 roadmap
- Proven track record of securing government research grants
- Experience with ethical AI governance frameworks
- Fluency in Python, TensorFlow, and quantum circuit design