Job Description
Shape the technological frontier as we pioneer 2026's next-generation quantum-AI convergence ecosystem. Join Nexus Future Labs to architect hybrid quantum neural systems that will redefine computational boundaries. This role demands visionary leadership in developing scalable quantum machine learning frameworks while ensuring ethical AI governance for post-quantum security paradigms.
Responsibilities
- Design fault-tolerant quantum algorithms for real-time AI model optimization
- Lead cross-disciplinary teams in implementing quantum-resistant encryption protocols
- Develop neural-network-compatible quantum hardware interfaces
- Create ethical AI governance frameworks for 2026 regulatory compliance
- Architect hybrid quantum-classical computing infrastructures
- Partner with quantum hardware manufacturers for co-development
- Publish breakthrough research in Nature Quantum journals
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science
- 5+ years experience in quantum machine learning implementation
- Expertise in quantum circuit design using Qiskit/PennyLane
- Published research in quantum-AI integration (arXiv/Nature)
- Proficiency in quantum error correction techniques
- Strong background in post-quantum cryptography standards
- Experience leading technical teams in emerging tech