Job Description
Join Nexus Quantum Labs at the forefront of the 2026 technological revolution. We're seeking a pioneering Quantum AI Architect to design and implement next-generation quantum neural networks. You'll lead projects that merge quantum computing with artificial intelligence to solve previously impossible challenges in drug discovery, climate modeling, and cryptography. Our state-of-the-art facility in San Francisco offers unparalleled resources to transform theoretical quantum algorithms into real-world breakthroughs.
What you'll achieve: Architect hybrid quantum-classical AI systems, publish groundbreaking research in Nature Quantum, and mentor a team of quantum engineers. This role offers equity, unlimited PTO, and a relocation package for non-local talent.
Responsibilities
- Design scalable quantum neural networks for machine learning applications
- Develop error-correction protocols for quantum AI systems
- Lead cross-functional teams in quantum algorithm implementation
- Collaborate with MIT and Stanford researchers on quantum-AI fusion projects
- Optimize quantum circuits for real-time AI processing
- Secure patents for novel quantum-AI methodologies
- Mentor junior quantum engineers in cutting-edge technologies
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years developing quantum algorithms for AI applications
- Proficiency in Qiskit, Cirq, and quantum machine learning frameworks
- Published research in quantum computing or AI (Nature/IEEE preferred)
- Expertise in Python, C++, and quantum assembly languages
- Experience with fault-tolerant quantum computing architectures
- Deep understanding of quantum entanglement and superposition principles