Job Description
Shape the technological frontier at Nexus Quantum Dynamics, where we're engineering the quantum computing revolution for 2026. As a Quantum AI Systems Architect, you'll design hybrid quantum-classical frameworks that solve previously impossible challenges in drug discovery and climate modeling. Our state-of-the-art lab in San Francisco's innovation district offers unparalleled resources to pioneer next-gen AI algorithms operating on quantum processors. Join us in building the computational backbone of tomorrow's breakthrough innovations.
Responsibilities
- Architect quantum neural networks for multi-variable optimization challenges
- Develop error-corrected quantum algorithms for machine learning applications
- Integrate quantum processors with classical AI infrastructure
- Lead prototyping of quantum-classical hybrid systems
- Collaborate with Nobel-winning physicists to push quantum computing boundaries
- Design fault-tolerant quantum circuits for enterprise-scale deployments
- Document quantum system specifications for regulatory compliance
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics (or equivalent experience)
- 5+ years developing quantum algorithms or quantum machine learning systems
- Expertise in Qiskit, Cirq, or quantum circuit optimization frameworks
- Published research in quantum AI or top-tier quantum computing conferences
- Proficiency in Python, TensorFlow, and quantum error correction techniques
- Experience with superconducting qubit platforms or trapped-ion systems
- Strong background in tensor networks and quantum information theory