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Information Technology 🏢 Full Time ⭐️ Verified

AI Systems Architect - 2026 Vision

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Join Nexus Innovations at the forefront of technological evolution as we redefine the future. We're seeking a visionary AI Systems Architect to architect, design, and implement cutting-edge AI solutions that will shape the world of 2026. This is your opportunity to work in an environment where innovation meets impact, solving complex challenges in quantum computing, neural networks, and autonomous systems.

Why Nexus Innovations?
• Collaborate with Nobel laureates and Turing Award winners
• State-of-the-art quantum research facilities
• Equity package and unlimited learning budget
• Flexible remote-first culture with quarterly offsites

Responsibilities

  • Design scalable AI architectures for next-generation autonomous systems
  • Lead development of quantum-classical hybrid computing frameworks
  • Implement neural network optimization for edge computing deployment
  • Architect federated learning systems for secure multi-party data collaboration
  • Drive R&D in generative adversarial networks for synthetic data creation
  • Lead cross-functional teams of quantum physicists and ML engineers
  • Develop ethical AI governance frameworks for 2026 regulatory landscapes

Qualifications

  • PhD in Computer Science/AI or equivalent with 8+ years experience
  • Expertise in quantum machine learning algorithms (QML, VQE)
  • Proficiency in PyTorch/TensorFlow and quantum frameworks (Cirq, Qiskit)
  • Published research in top-tier AI/quantum conferences (NeurIPS, QIP)
  • Experience deploying AI solutions at petabyte-scale production environments
  • Strong background in theoretical computer science and complexity theory
  • Proven track record of leading technical teams through IPO-scale projects

Required Skills

Quantum Computing Machine Learning Neural Networks PyTorch TensorFlow Quantum Algorithms Federated Learning AI Ethics System Architecture

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