Job Description
Shape the future of quantum-AI convergence at Nexus Quantum Labs. We're pioneering the next frontier of computational intelligence and seek a visionary Quantum AI Architect to design revolutionary systems for our 2026 breakthrough initiatives. Join our elite team in San Francisco's tech epicenter to develop hybrid quantum-neural networks that will redefine machine learning paradigms. This role offers unparalleled access to our $500M R&D lab and collaboration with Nobel laureates.
Our 2026 roadmap includes deploying fault-tolerant quantum processors for real-time AI training and developing novel quantum-optimized algorithms for climate modeling and drug discovery. You'll lead architectural decisions for our next-gen quantum cloud platform while mentoring a multidisciplinary team of physicists, ML engineers, and computational biologists.
Responsibilities
- Design scalable quantum-AI architectures leveraging superposition and entanglement principles
- Develop hybrid quantum-classical algorithms for exponential speedups in ML training
- Lead R&D initiatives for quantum neural networks with >1M qubit coherence
- Implement quantum-optimized data pipelines for petabyte-scale scientific datasets
- Architect fault-tolerant quantum error correction systems for 2026 deployment
- Collaborate with hardware teams on quantum chip design and cryogenic interfaces
- Publish breakthrough research in Nature Quantum and IEEE journals
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or AI with quantum specialization
- 5+ years experience in quantum algorithm development (Qiskit/Cirq)
- Expertise in tensor networks and quantum machine learning frameworks
- Proven track record publishing in quantum-AI convergence research
- Mastery of Python/C++ with quantum simulation libraries (Quil, PyTorch Quantum)
- Deep understanding of quantum error correction codes (surface, color codes)
- Experience with distributed quantum computing architectures