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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Infrastructure Lead

Nexus Future Labs
Austin
Estimated Salary
USD 220.000 – USD 320.000
New
Live Update
5 Juli 2026
Deadline
5 Jul 2027

Job Description

Join Nexus Future Labs at the forefront of 2026's technological revolution! We're seeking a visionary Quantum Infrastructure Lead to architect next-generation systems that will redefine computing. This role demands strategic thinking, deep technical expertise, and a passion for pushing boundaries. You'll lead cross-functional teams to design scalable quantum-resistant architectures, implement AI-driven security protocols, and pioneer sustainable computing solutions. Our Austin headquarters offers cutting-edge labs, competitive benefits, and unparalleled opportunities to shape tomorrow's digital landscape today.

Responsibilities

  • Design and implement quantum-resistant infrastructure architectures for 2026-scale operations
  • Lead cross-functional teams in developing AI-optimized security frameworks
  • Architect sustainable computing solutions reducing energy consumption by 40%+
  • Establish governance protocols for federated learning networks
  • Drive innovation in neuromorphic computing integration
  • Mentor engineers on next-gen system design principles
  • Collaborate with R&D on quantum-safe cryptography implementations

Qualifications

  • 10+ years in infrastructure architecture with quantum/AI specialization
  • Expertise in distributed systems and edge computing paradigms
  • PhD or equivalent in Computer Science/Quantum Information
  • Proven track record in leading 50+ person technical teams
  • Published research in quantum-resistant cryptography
  • Certification in AWS/Azure quantum services
  • Experience with neuromorphic hardware (Intel Loihi, IBM TrueNorth)
  • Demonstrated impact in reducing carbon footprint of tech systems

Required Skills

Quantum Computing AI Security Distributed Systems Neuromorphic Engineering Quantum-Resistant Cryptography Sustainable Computing AWS/Azure Quantum Federated Learning

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