Job Description
Join Nexus Quantum Solutions at the forefront of technological evolution in 2026. We're seeking a visionary Quantum AI Architect to design next-generation systems that merge quantum computing with artificial intelligence. This role offers unparalleled opportunities to shape the future of computational science while working with industry pioneers in our state-of-the-art San Francisco innovation hub.
Responsibilities
- Design and implement hybrid quantum-classical AI algorithms for complex optimization problems
- Lead quantum machine learning model development using Qiskit and Cirq frameworks
- Architect scalable quantum neural networks with error correction protocols
- Collaborate with hardware teams to optimize quantum circuit performance
- Develop quantum-resistant encryption protocols for next-gen data security
- Publish research in top-tier journals and present at international conferences
- Mentor junior engineers in quantum computing best practices
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (MS with 5+ years experience)
- Proficiency in quantum programming languages (Q#, Qiskit, PyQuil)
- Expertise in machine learning frameworks (TensorFlow, PyTorch) and classical AI
- Experience with quantum error mitigation and fault-tolerant systems
- Strong background in linear algebra, probability theory, and computational complexity
- Published research in quantum algorithms or quantum machine learning
- Certification in quantum computing (IBM Qiskit, Microsoft Azure Quantum)