Job Description
Join Nexus Quantum Dynamics at the forefront of 2026's technological revolution. We're pioneering quantum-AI integration to solve humanity's most complex challenges. As our Quantum AI Research Scientist, you'll develop hybrid quantum-neural algorithms that redefine computational boundaries. Work with cutting-edge hardware in our state-of-the-art San Francisco lab, collaborating with Nobel laureates and Turing Award winners to accelerate breakthroughs in drug discovery, climate modeling, and cryptography.
We offer competitive equity packages, unlimited R&D budgets, and flexible hybrid work arrangements. Shape the future of technology while enjoying California's innovation ecosystem.
Responsibilities
- Design and implement quantum machine learning models leveraging 100+ qubit processors
- Develop error-correction protocols for fault-tolerant quantum neural networks
- Lead cross-functional teams in prototyping quantum-AI hybrid systems
- Publish research in top-tier journals (Nature, Science, IEEE) and present at QIP/ICML
- Secure $2M+ in research grants from NSF, DARPA, and industry partners
- Mentor PhD candidates in quantum computing at partner institutions
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years developing quantum algorithms with Qiskit/Cirq frameworks
- Published research in quantum machine learning or topological quantum computing
- Proficiency in Python, TensorFlow, and low-level quantum hardware control
- Experience with superconducting qubit systems or photonic quantum processors
- Strong background in theoretical physics and linear algebra