Job Description
Join Nexus Quantum Dynamics at the forefront of 2026's technological revolution. We're seeking visionary Quantum AI Research Engineers to architect the next generation of hybrid quantum-neural systems. Shape the future by solving previously impossible computational challenges in cryptography, drug discovery, and climate modeling. Our state-of-the-art San Francisco lab offers unparalleled resources and collaborative freedom to push the boundaries of human knowledge.
Responsibilities
- Design and implement novel quantum algorithms for AI acceleration
- Develop hybrid quantum-classical machine learning frameworks
- Lead cross-functional prototyping of quantum hardware interfaces
- Publish breakthrough research in top-tier journals/conferences
- Collaborate with Nobel laureates and industry pioneers
- Secure patents for proprietary quantum-AI methodologies
- Mentor PhD researchers in quantum computing principles
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science
- 3+ years experience with quantum programming (Qiskit, Cirq)
- Expertise in machine learning frameworks (PyTorch, TensorFlow)
- Published research in quantum algorithms or AI
- Proficiency in low-level quantum hardware integration
- Deep understanding of quantum error correction
- Experience with high-performance computing clusters
- Strong background in linear algebra and information theory