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Information Technology 🏢 Full Time ⭐️ Verified

2026 Quantum AI Architect

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

Job Description

Join Nexus Labs at the forefront of 2026's technological revolution. We're seeking a visionary Quantum AI Architect to design next-generation systems that will redefine industries by 2026. This role sits at the intersection of quantum computing, artificial intelligence, and predictive analytics, driving breakthrough innovations that will shape our collective future. You'll collaborate with Nobel laureates and industry pioneers in our state-of-the-art downtown San Francisco hub, where we're building the infrastructure for tomorrow's digital ecosystem.

Responsibilities

  • Architect hybrid quantum-classical AI systems for enterprise-scale deployment by 2026
  • Lead R&D initiatives in fault-tolerant quantum algorithms and neural network optimization
  • Develop predictive models for emerging technology adoption curves
  • Design secure multi-party quantum computation frameworks
  • Translate theoretical quantum computing concepts into scalable production solutions
  • Partner with Fortune 500 clients to integrate 2026-readiness into their digital transformation
  • Present breakthrough findings at global tech summits and industry forums

Qualifications

  • PhD in Quantum Computing, AI, or Computational Physics (or equivalent experience)
  • 5+ years building production-level quantum systems or advanced neural networks
  • Expertise in Qiskit, Cirq, or equivalent quantum programming frameworks
  • Published research in quantum machine learning or topological quantum computing
  • Deep understanding of 2026 technology roadmaps (NISQ era, quantum advantage)
  • Proven track record of leading cross-continental technical teams
  • Security clearance eligibility for classified government projects

Required Skills

Quantum Computing Artificial Intelligence Machine Learning Cryptography Python Qiskit Cirq TensorFlow PyTorch Distributed Systems High-Performance Computing

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