Job Description
Join the quantum revolution at Nexus Quantum Labs as we pioneer the next frontier of computing. We're seeking a visionary Quantum AI Architect to design hybrid quantum-classical systems that will redefine artificial intelligence by 2026. This role sits at the intersection of quantum physics, machine learning, and distributed computing, offering unparalleled opportunity to shape the technological landscape of tomorrow.
Our state-of-the-art facility in San Francisco's tech hub provides access to cutting-edge quantum hardware and collaborative research environments. You'll work alongside Nobel laureates and Turing Award winners to develop algorithms that solve previously impossible problems in drug discovery, climate modeling, and cryptographic security.
Responsibilities
- Design scalable quantum neural networks for enterprise AI applications
- Develop error-corrected quantum algorithms for machine learning acceleration
- Lead R&D initiatives in quantum-classical hybrid computing architectures
- Collaborate with hardware teams to optimize quantum circuit performance
- Establish quantum AI frameworks for Fortune 500 clients
- Author patents and publish breakthrough research in Nature/Science journals
- Mentor cross-functional teams in quantum machine learning principles
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years developing quantum algorithms for ML applications
- Proficiency in quantum programming languages (Qiskit, Cirq, Q#)
- Expertise in tensor networks and quantum error correction techniques
- Publication record in top-tier quantum computing conferences
- Deep understanding of NISQ-era hardware limitations
- Experience with distributed quantum computing frameworks
- Strong background in computational complexity theory