Job Description
Join NexusTech Solutions at the forefront of technological evolution as we pioneer quantum-safe infrastructure for 2026 and beyond. We seek a visionary Quantum Infrastructure Architect to design resilient, scalable systems that will shape the digital landscape of tomorrow. This role offers the unique opportunity to work with cutting-edge quantum-resistant cryptography, hybrid cloud architectures, and AI-driven optimization frameworks.
As a key member of our Future Systems Division, you'll collaborate with Nobel laureates, quantum computing pioneers, and cybersecurity experts to build infrastructure capable of withstanding post-quantum threats. Our Austin campus features state-of-the-art quantum labs and collaborative workspaces designed for breakthrough innovation.
Responsibilities
- Design quantum-resistant network architectures using lattice-based cryptography and zero-trust frameworks
- Lead implementation of hybrid quantum-classical computing infrastructure across global data centers
- Develop AI-driven predictive maintenance systems for quantum hardware components
- Create security protocols compliant with NIST Post-Quantum Cryptography standards
- Collaborate with product teams to integrate quantum-safe solutions into enterprise SaaS platforms
- Mentor junior engineers on quantum computing principles and threat modeling
- Present architectural blueprints to C-suite executives and industry consortiums
Qualifications
- PhD in Quantum Computing, Cryptography, or related field with 5+ years industry experience
- Expertise in lattice-based cryptography and post-quantum cryptographic standards (NIST PQC candidates)
- Proven track record designing enterprise-grade hybrid quantum-classical systems
- Deep knowledge of quantum error correction protocols and fault-tolerant architectures
- Certification in AWS/Azure quantum services and quantum cloud computing
- Published research in peer-reviewed quantum cryptography journals
- Experience with quantum machine learning frameworks (Qiskit, Cirq, PennyLane)
- Strong background in AI-driven infrastructure optimization