Job Description
Join Nexus Dynamics at the forefront of technological evolution as we pioneer the next generation of quantum-AI hybrid systems. As a Quantum AI Research Lead, you'll architect breakthrough algorithms that redefine computational boundaries in our state-of-the-art San Francisco laboratory. Collaborate with Nobel laureates and industry disruptors to solve humanity's most complex challenges—from climate modeling to personalized medicine. We offer unparalleled resources, flexible work arrangements, and equity in a company valued at $2B+.
Responsibilities
- Design and implement quantum machine learning frameworks for real-world applications
- Lead cross-functional teams of quantum physicists, AI engineers, and domain experts
- Publish groundbreaking research in top-tier journals (Nature, Science, etc.)
- Drive patent development for proprietary quantum-AI hybrid algorithms
- Secure $5M+ in annual research grants from government and private sector
- Mentor PhD candidates and postdoctoral researchers
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field
- 5+ years of experience in quantum algorithm development
- Published research in quantum machine learning or quantum information
- Proficiency in Qiskit, Cirq, or similar quantum frameworks
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Proven track record of leading complex R&D projects
- Experience securing federal research grants (NSF, DOE, DARPA)