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Quantum Infrastructure Architect 2026

Nexus Futura
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Shape the technological landscape of 2026 as Nexus Futura's Quantum Infrastructure Architect. We're seeking a visionary leader to design next-gen systems that bridge quantum computing, AI, and decentralized networks. This role demands mastery of emerging technologies to build resilient, scalable architectures for our autonomous infrastructure platform.

Join an elite team redefining digital boundaries where your innovations will directly impact global systems security and computational efficiency. You'll pioneer solutions in post-quantum cryptography and neuromorphic integration while mentoring the next wave of quantum engineers.

Responsibilities

  • Architect quantum-resistant network infrastructures for 2026 deployment
  • Lead integration of AI-driven predictive maintenance systems
  • Design federated learning frameworks across decentralized quantum nodes
  • Develop security protocols for quantum-encrypted data transmission
  • Optimize hybrid cloud-quantum computing resource allocation
  • Create simulation environments for autonomous infrastructure testing
  • Establish industry standards for quantum interoperability

Qualifications

  • PhD in Quantum Computing or equivalent with 8+ years experience
  • Expertise in Qiskit, Cirq, and quantum circuit optimization
  • Certified in AWS Quantum Services and Azure Quantum
  • Published research in quantum error correction or topology
  • Deep understanding of post-quantum cryptographic standards (NIST PQCS)
  • Experience with neuromorphic hardware (Intel Loihi, IBM TrueNorth)
  • Proven track record in scaling quantum systems to enterprise level
  • Strong background in distributed systems and blockchain consensus

Required Skills

Quantum Computing AI Integration Post-Quantum Cryptography Neuromorphic Engineering Decentralized Systems AWS Quantum Qiskit NIST PQCS Quantum Circuit Design Federated Learning

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