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Information Technology 🏢 Full Time ⭐️ Verified

Quantum AI Systems Architect

Nexus Innovations Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Join Nexus Innovations Inc. at the forefront of 2026's technological revolution! We're seeking a visionary Quantum AI Systems Architect to design next-generation computational frameworks that will redefine industries. As a key member of our FutureTech Division, you'll pioneer hybrid quantum-neural networks and lead cross-functional teams in developing breakthrough solutions for autonomous systems, biocomputing, and predictive analytics. This role offers unparalleled opportunities to shape the future of human-machine collaboration while working in our state-of-the-art San Francisco hub.

Responsibilities

  • Architect scalable quantum-AI integration frameworks for enterprise applications
  • Lead R&D initiatives in neuromorphic computing and quantum-entangled data processing
  • Collaborate with Nobel Laureate advisors to develop patent-pending algorithms
  • Oversee implementation of ethical AI governance protocols for autonomous systems
  • Present breakthrough findings at global tech summits including Web Summit and CES
  • Mentor quantum engineers in cutting-edge error-correction methodologies
  • Drive innovation roadmap alignment with UN Sustainable Development Goals

Qualifications

  • PhD in Quantum Computing or Advanced AI Systems (or equivalent experience)
  • 5+ years developing production-level quantum neural networks
  • Published research in top-tier journals (Nature, Science, or IEEE)
  • Expertise in quantum error correction and topological qubit manipulation
  • Proven track record of leading $10M+ R&D initiatives
  • Fluency in Qiskit, TensorFlow Quantum, and D-Wave APIs
  • Deep understanding of quantum supremacy thresholds and fault-tolerant computing

Required Skills

Quantum Computing Neural Networks AI Architecture Quantum Machine Learning System Design R&D Leadership Quantum Error Correction Neuromorphic Engineering

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