Job Description
Join Nexus Innovations at the forefront of technological evolution as we pioneer the next generation of quantum-AI convergence. As the 2026 Quantum AI Research Lead, you'll architect breakthrough systems that redefine computational boundaries and shape humanity's digital future. Our dynamic team operates at the intersection of quantum computing, neural networks, and emergent AI paradigms.
This role offers unparalleled opportunities to collaborate with Nobel laureates, publish in Nature/Science journals, and develop patents that will define the 2030s tech landscape. We provide competitive equity packages, unlimited R&D budgets, and flexible work arrangements designed for peak innovation.
Responsibilities
- Lead multidisciplinary research teams in quantum-AI algorithm development and optimization
- Architect scalable quantum neural networks for real-world deployment
- Secure $10M+ in federal/industry research grants for 2026 initiatives
- Pioneer quantum-resistant AI security frameworks
- Collaborate with MIT/Stanford on next-gen AI-quantum hybrid systems
- Translate theoretical breakthroughs into commercial applications
- Mentor PhD researchers and publish 4+ high-impact papers annually
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics (or equivalent experience)
- 5+ years in quantum algorithm development or AI research leadership
- Proven track record of publishing in top-tier journals (Nature, Science, etc.)
- Expertise in quantum machine learning frameworks (Qiskit, Cirq, PennyLane)
- Strong background in topological quantum computing or fault-tolerant systems
- Demonstrated ability to secure $5M+ in research funding
- Experience with AI ethics and quantum security protocols
- Patent portfolio in quantum/AI technologies preferred