Job Description
Join Nexus Quantum Solutions at the forefront of the 2026 technological revolution. We're seeking a pioneering Quantum AI Systems Architect to design next-generation hybrid quantum-classical computing frameworks that will redefine industries worldwide. This role sits at the intersection of quantum mechanics, artificial intelligence, and distributed systems, requiring you to architect solutions that leverage quantum advantage while ensuring seamless integration with classical infrastructure. You'll work in our Austin R&D hub alongside Nobel Prize-winning physicists and elite AI researchers to develop production-ready quantum neural networks and fault-tolerant algorithms. We offer unparalleled resources including access to 1000-qubit quantum processors and a $500M innovation fund.
Our ideal candidate thrives in ambiguous problem spaces and possesses the rare ability to translate theoretical quantum advantage into practical enterprise solutions. You'll shape the future of computational intelligence while enjoying Austin's vibrant tech ecosystem, competitive equity packages, and flexible work arrangements designed for peak innovation.
Responsibilities
- Architect hybrid quantum-classical AI systems for Fortune 500 clients in finance, healthcare, and logistics
- Design error-corrected quantum neural networks achieving quantum advantage in optimization problems
- Develop fault-tolerant quantum algorithms for real-time machine learning inference at scale
- Lead cross-functional teams of quantum physicists, ML engineers, and cybersecurity specialists
- Translate quantum advantage metrics into tangible ROI frameworks for enterprise stakeholders
- Author patents for novel quantum-AI integration methodologies and hybrid computing topologies
- Mentor junior researchers in quantum complexity theory and practical implementation challenges
Qualifications
- PhD in Quantum Computing, Theoretical Computer Science, or Physics with 5+ years industry experience
- Proven expertise in quantum error correction codes (surface, color, LDPC) and fault-tolerant architectures
- Mastery of quantum programming languages (Q#, Qiskit, Cirq) and hybrid quantum-classical frameworks
- Publication record in Nature/Science journals or top-tier quantum computing conferences
- Deep understanding of quantum machine learning algorithms (QNNs, QAOA, VQE) and their practical limitations
- Experience with large-scale distributed computing systems and quantum cloud platforms (IBM Q, Rigetti, IonQ)
- Ability to communicate complex quantum concepts to non-technical executives and stakeholders