Job Description
Shape the future of technology as a Quantum AI Research Lead at Nexus Quantum Labs. In 2026, we're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. This role offers unparalleled opportunity to lead breakthrough research in quantum machine learning algorithms and hybrid quantum-classical systems.
Join our elite team of physicists, computer scientists, and AI specialists in our state-of-the-art San Francisco facility. You'll collaborate with Nobel laureates and industry pioneers while developing the next generation of quantum neural networks. We provide competitive compensation, comprehensive benefits, and a culture that celebrates intellectual curiosity and bold innovation.
Responsibilities
- Design and implement novel quantum machine learning algorithms for optimization and pattern recognition
- Lead cross-functional research teams in developing hybrid quantum-classical AI frameworks
- Publish groundbreaking research in top-tier journals and industry white papers
- Collaborate with hardware teams to optimize quantum AI implementations on next-generation quantum processors
- Secure and manage multi-million dollar research grants from government and private sector partners
- Mentor postdoctoral researchers and PhD candidates in quantum AI methodologies
- Represent Nexus Quantum Labs at international quantum computing conferences and symposiums
Qualifications
- PhD in Quantum Physics, Computer Science, or Mathematics with 5+ years of research experience
- Expertise in quantum computing frameworks (Qiskit, Cirq, Q#) and quantum algorithms
- Proven track record of publishing in quantum machine learning or related fields
- Strong background in deep learning, neural networks, and statistical modeling
- Experience securing government research grants (DARPA, NSF) or corporate partnerships
- Proficiency in Python, C++, and quantum circuit design
- Demonstrated leadership in managing technical research teams