Job Description
Join Nexus Technologies at the forefront of 2026's technological revolution as we pioneer quantum-resistant infrastructure. We seek a visionary Quantum Infrastructure Architect to design and implement next-generation systems that will secure the digital frontier. This role combines cutting-edge cryptography, distributed ledger technology, and AI-driven security protocols to build the backbone of tomorrow's internet.
As a key member of our Future Systems Division, you'll work in our state-of-the-art Austin R&D center, collaborating with Nobel laureates and industry pioneers. We offer competitive equity packages, unlimited learning stipends, and the opportunity to shape the digital infrastructure that will power global commerce for the next decade.
Responsibilities
- Design quantum-resistant cryptographic systems and hybrid blockchain architectures for enterprise-scale applications
- Lead implementation of post-quantum encryption protocols across global cloud infrastructure
- Develop AI-driven security frameworks for autonomous defense systems
- Coordinate cross-functional teams across quantum computing, cybersecurity, and distributed systems
- Establish compliance frameworks for emerging technologies under NIST 2.0 standards
- Research and integrate next-gen hardware including photonic processors and neuromorphic chips
- Create migration strategies for classical-to-quantum infrastructure transitions
Qualifications
- PhD in Quantum Computing, Cryptography, or related field with 8+ years experience
- Expertise in lattice-based cryptography and quantum-resistant algorithms
- Proven track record designing enterprise-grade blockchain architectures
- Deep knowledge of NIST PQC standardization process and CRYSTALS-Kyber
- Experience with AI/ML security frameworks including adversarial defense systems
- Proficiency in quantum circuit design using Qiskit or Cirq frameworks
- Strong background in distributed systems with consensus mechanisms (PBFT, DAG)
- Published research in top-tier cryptography or quantum computing journals