Job Description
Join Nexus Future Labs at the forefront of technological evolution as we pioneer the next generation of quantum-AI hybrid systems. As our Quantum AI Research Lead, you'll architect breakthrough solutions that will redefine industries by 2026. This role offers unparalleled opportunities to shape the future of computational intelligence while working with Nobel laureates and industry pioneers in our state-of-the-art facility.
We're seeking a visionary who can bridge quantum mechanics and artificial intelligence to solve previously impossible challenges. You'll lead a cross-disciplinary team developing novel algorithms for quantum machine learning, error correction, and autonomous decision-making systems. The ideal candidate thrives at the intersection of theoretical physics and practical application.
Responsibilities
- Design and implement quantum-AI hybrid architectures for next-generation computational systems
- Lead a multidisciplinary team of quantum physicists, AI researchers, and software engineers
- Develop proprietary algorithms for quantum machine learning and autonomous optimization
- Establish research partnerships with leading quantum computing hardware providers
- Translate theoretical breakthroughs into scalable commercial applications
- Secure and manage multimillion-dollar research grants from government and private entities
- Pioneer novel error-correction techniques for quantum-AI integration
Qualifications
- PhD in Quantum Computing, AI, or related computational field with 8+ years research experience
- Published work in Nature/Science or top-tier quantum/AI conferences
- Expertise in quantum algorithms, machine learning frameworks (TensorFlow/PyTorch), and high-performance computing
- Proven track record of leading technical teams through complex R&D projects
- Familiarity with quantum hardware platforms (IBM Quantum, Rigetti, D-Wave)
- Strong background in cryptographic protocols and quantum security
- Demonstrated ability to secure and manage government/industry research funding