Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're seeking a visionary Quantum AI Systems Architect to design next-generation hybrid quantum-classical computing frameworks that will redefine machine learning, cryptography, and data optimization. You'll lead groundbreaking R&D initiatives in our state-of-the-art Austin facility, collaborating with Nobel laureates and top-tier engineers to build the computational infrastructure of tomorrow.
Our team operates at the intersection of quantum mechanics, artificial intelligence, and distributed systems. As a pioneer in this emerging field, you'll shape how enterprises solve previously unsolvable problems in drug discovery, climate modeling, and autonomous systems. We offer unparalleled resources, flexible work arrangements, and equity participation in our rapidly scaling quantum ecosystem.
Responsibilities
- Design and implement hybrid quantum-classical AI architectures for enterprise-scale applications
- Lead research in quantum machine learning algorithms and error correction protocols
- Develop proprietary quantum-optimized neural networks for real-time data processing
- Collaborate with hardware teams to interface quantum processors with classical computing stacks
- Architect secure quantum-encrypted communication channels for sensitive data
- Publish breakthrough research in top-tier quantum computing journals and conferences
- Mentor junior researchers in quantum programming and computational theory
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Computer Science with 5+ years industry experience
- Expertise in quantum programming languages (Q#, Qiskit, Cirq) and quantum circuit design
- Deep understanding of quantum algorithms (Shor's, Grover's, VQE) and their AI applications
- Proven track record of developing production-ready quantum-classical hybrid systems
- Strong background in distributed computing frameworks (Kubernetes, Spark) and cloud platforms (AWS/Azure)
- Published research in quantum machine learning or quantum error correction
- Experience with high-performance computing clusters and GPU-accelerated architectures