Job Description
Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer the next wave of quantum AI systems. As a Quantum AI Research Scientist, you'll architect groundbreaking solutions that will redefine computing capabilities by 2026. Collaborate with Nobel laureates and industry disruptors in our state-of-the-art San Francisco facility, where we're building the infrastructure for tomorrow's digital universe.
We offer unparalleled resources for experimentation, including access to quantum annealing clusters and neural network accelerators. This is your opportunity to shape the algorithms that will power autonomous systems, climate modeling, and personalized medicine in the coming decade.
Responsibilities
- Design and implement quantum machine learning algorithms for 2026-era computational challenges
- Lead cross-functional teams in developing fault-tolerant quantum processors
- Develop hybrid quantum-classical neural networks for predictive analytics
- Collaborate with hardware engineers to optimize quantum software-hardware interfaces
- Publish breakthrough research in top-tier journals and industry conferences
- Secure federal and private funding for next-gen quantum AI initiatives
- Mentor PhD researchers in quantum computing methodologies
Qualifications
- PhD in Quantum Computing, Machine Learning, or Physics (or equivalent experience)
- 3+ years of hands-on quantum algorithm development experience
- Proficiency in Qiskit, Cirq, or equivalent quantum programming frameworks
- Published research in quantum machine learning or quantum information theory
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Demonstrated ability to secure research grants exceeding $500K
- Experience with superconducting qubit or photonic quantum systems