Job Description
Join Nexus Future Labs at the forefront of 2026's technological revolution as we pioneer quantum-AI hybrid systems that redefine computational boundaries. We're seeking visionary Quantum AI Systems Architects to design next-generation neural networks operating at quantum supremacy levels. Our state-of-the-art facility in San Francisco offers unparalleled resources for research, including 1000-qubit processors and dedicated quantum annealing labs. Collaborate with Nobel laureates and industry disruptors to solve humanity's most complex challenges—from climate modeling to drug discovery.
Responsibilities
- Design scalable quantum-AI architectures leveraging 2026's latest quantum processors
- Develop hybrid quantum-classical machine learning frameworks for real-world applications
- Lead cross-functional teams of physicists, engineers, and data scientists
- Optimize quantum algorithms for commercial deployment in finance, logistics, and healthcare
- Secure $10M+ R&D grants from federal and private quantum initiatives
- Publish breakthrough research in Nature Quantum Computing
- Mentor PhD candidates in quantum-AI convergence methodologies
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Computer Science
- 5+ years developing quantum algorithms with error-corrected qubits
- Proficiency in Qiskit, Cirq, and quantum machine learning frameworks
- Published research in top-tier quantum computing journals
- Experience securing federal quantum research grants
- Deep understanding of quantum supremacy thresholds and fault tolerance
- Expertise in tensor networks and quantum neural networks
- US citizenship required for government contract work