Job Description
Join Nexus Dynamics at the forefront of technological evolution. We're pioneering the next wave of quantum-AI integration that will redefine industries by 2026. As our Quantum AI Research Lead, you'll architect breakthrough solutions at the intersection of quantum computing and artificial intelligence, shaping the future of computational power.
Our cutting-edge lab in San Francisco fosters an environment where brilliant minds converge to solve humanity's most complex challenges. You'll collaborate with Nobel laureates and industry disruptors while leveraging state-of-the-art quantum processors and neural networks.
Responsibilities
- Lead cross-functional teams in developing quantum machine learning algorithms
- Architect hybrid quantum-classical computing frameworks for 2026 deployment
- Drive R&D in quantum error correction and AI optimization techniques
- Secure $5M+ in research grants for quantum-AI initiatives
- Publish breakthrough research in Nature/Science journals
- Mentor PhD researchers in quantum information science
- Partner with MIT/Stanford on quantum-AI ethics standards
Qualifications
- PhD in Quantum Physics, Computer Science, or related field
- 5+ years experience in quantum computing research
- Expertise in Python, Qiskit, and quantum circuit design
- Published research in quantum machine learning
- Strong background in neural network optimization
- Experience with quantum hardware (IBM, Rigetti, IonQ)
- Proven track record of securing research funding
- Deep understanding of quantum decoherence challenges