Job Description
Join Nexus Innovations at the forefront of technological evolution as we pioneer breakthroughs in quantum-AI convergence for 2026. We seek a visionary Quantum AI Research Lead to architect next-generation systems that redefine computational boundaries. This role demands a blend of deep technical expertise and strategic foresight to develop commercially viable quantum machine learning solutions.
Responsibilities
- Design and implement quantum algorithms leveraging AI for optimization problems
- Lead cross-disciplinary teams in developing hybrid quantum-classical architectures
- Drive R&D initiatives in quantum neural networks and error correction
- Collaborate with hardware teams to optimize quantum-AI integration
- Publish high-impact research in peer-reviewed journals
- Translate theoretical breakthroughs into patentable IP
- Develop roadmaps for quantum-AI adoption in enterprise environments
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field
- 5+ years experience in quantum algorithm development
- Expertise in Python, Qiskit, and quantum simulation frameworks
- Proven track record of publishing in Nature/Science journals
- Strong background in tensor networks and quantum information theory
- Experience securing $1M+ in research grants
- Demonstrated ability to lead technical teams of 10+ researchers
- Familiarity with NISQ-era hardware constraints