Job Description
Join Nexus Quantum Labs at the forefront of technological evolution as we architect the digital infrastructure for 2026. We're seeking a visionary Quantum Infrastructure Architect to design next-generation systems that will power the next decade of innovation. This role demands a blend of quantum computing expertise, distributed systems mastery, and strategic foresight to build resilient, scalable architectures for AI, biotech, and autonomous systems. You'll collaborate with Nobel laureates, Fortune 500 partners, and cutting-edge startups to transform theoretical possibilities into tangible realities.
Our Austin hub offers a state-of-the-art quantum lab with 300-qubit processors, hybrid classical-quantum workstations, and dedicated R&D facilities. We provide comprehensive benefits including equity, sabbaticals, and tuition reimbursement for emerging tech certifications. This is your opportunity to shape the very fabric of tomorrow's digital landscape.
Responsibilities
- Design and implement quantum-classical hybrid architectures for 2026-scale AI and biotech applications
- Lead cross-functional teams in developing fault-tolerant quantum networks with 99.999% uptime
- Architect distributed systems capable of processing exabyte-scale datasets using quantum-assisted algorithms
- Develop security protocols for quantum-resistant cryptography and post-quantum blockchain frameworks
- Collaborate with hardware teams to optimize quantum error correction codes for real-world deployment
- Create strategic roadmaps for quantum computing adoption across Fortune 500 client ecosystems
- Present architectural blueprints to CTO boards and venture capital partners
Qualifications
- PhD in Quantum Computing, Computer Science, or related field with 5+ years industry experience
- Expertise in quantum algorithms (Shor's, Grover's, VQE) and quantum error correction
- Proficiency in distributed systems (Kubernetes, Apache Spark, Cosmos DB)
- Published research in Nature/Science journals or equivalent peer-reviewed publications
- Experience with quantum hardware platforms (IBM Q, Rigetti, IonQ)
- Certification in quantum machine learning (QML) or quantum neural networks
- Portfolio demonstrating scalable quantum-classical hybrid solutions
- Deep understanding of NISQ-era limitations and fault-tolerance pathways