Job Description
Join Nexus Future Labs at the forefront of technological innovation as we pioneer the convergence of quantum computing and artificial intelligence. As a Quantum AI Research Lead, you'll architect the next generation of computational systems that will redefine industries by 2026. Our interdisciplinary team operates at the intersection of physics, computer science, and ethics to build responsible, scalable quantum AI solutions. This role offers unparalleled opportunities to publish groundbreaking research, secure venture funding, and shape the future of human-machine collaboration.
We're seeking a visionary researcher who thrives at the bleeding edge of technology. You'll lead a team of world-class scientists in developing novel algorithms for quantum neural networks, error correction protocols, and hybrid quantum-classical architectures. Your work will directly impact fields from drug discovery to climate modeling, with resources including our 256-qubit quantum processor and dedicated GPU supercomputing cluster.
Responsibilities
- Lead cross-functional research teams in developing quantum AI algorithms and architectures
- Design and implement error correction protocols for quantum neural networks
- Collaborate with hardware engineers to optimize quantum-classical hybrid systems
- Secure $2M+ in research grants and publish in top-tier journals (Nature, Science)
- Develop ethical frameworks for quantum AI deployment and bias mitigation
- Mentor PhD researchers and establish industry partnerships with quantum hardware providers
- Create 2026 technology roadmap for quantum AI commercialization pathways
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 5+ years research experience
- Published work in quantum machine learning or quantum algorithms (arXiv:quant-ph)
- Expertise in quantum circuit design and quantum error correction codes
- Proficiency in Python, Qiskit, and quantum simulation frameworks
- Experience managing research teams and securing government/venture funding
- Deep understanding of quantum decoherence and fault-tolerant systems
- Portfolio of open-source quantum AI projects with 500+ GitHub stars