Job Description
Join Nexus Quantum Dynamics at the forefront of 2026's technological revolution. We're pioneering quantum-AI convergence systems that will redefine computational boundaries. As a Quantum AI Research Scientist, you'll architect next-gen algorithms, collaborate with Nobel laureates, and contribute to breakthroughs in cryptography, drug discovery, and climate modeling. Our state-of-the-art San Francisco lab offers unparalleled resources including 512-qubit processors and dedicated quantum annealing clusters.
Responsibilities
- Design and implement quantum machine learning frameworks for real-world applications
- Lead cross-functional teams in developing hybrid quantum-classical computing solutions
- Optimize quantum algorithms for fault-tolerant hardware (2026-era quantum processors)
- Publish groundbreaking research in top-tier quantum/AI journals and conferences
- Collaborate with government agencies on quantum security protocols
- Mentor junior researchers in quantum algorithm development
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years hands-on experience with quantum programming languages (Qiskit, Cirq, Quil)
- Expertise in machine learning frameworks (TensorFlow/PyTorch) and quantum neural networks
- Published research in quantum computing or quantum machine learning
- Strong background in linear algebra, quantum mechanics, and information theory
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, D-Wave)