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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Infrastructure Architect

QuantumLeap Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

Shape the technological frontier at QuantumLeap Technologies! We're seeking a visionary 2026 AI Infrastructure Architect to design and deploy next-generation systems that will power the next decade of innovation. Join our elite team at the intersection of quantum computing, neural networks, and edge AI solutions. You'll architect scalable, resilient infrastructure for autonomous systems while mentoring a cross-functional team in cutting-edge technologies.

Why Join Us?

  • Lead revolutionary projects with $50M+ R&D budget
  • Collaborate with Nobel Prize-winning researchers
  • Comprehensive equity package in pre-IPO growth stage

Responsibilities

  • Design quantum-AI hybrid infrastructure supporting 10,000+ concurrent neural networks
  • Architect edge-computing frameworks for autonomous systems with <2ms latency
  • Implement zero-trust security protocols for distributed AI clusters
  • Develop predictive maintenance systems for quantum processors
  • Optimize federated learning architectures across global data centers
  • Lead migration from legacy systems to 2026-compliant infrastructure
  • Mentor junior engineers in quantum machine learning best practices

Qualifications

  • PhD in Computer Science or equivalent with specialization in quantum computing
  • 8+ years experience in distributed systems architecture at FAANG-scale
  • Expertise in quantum error correction and fault-tolerant design
  • Proven track record deploying neural network accelerators
  • Deep knowledge of NIST 2026 cryptographic standards
  • Certification in quantum machine learning (QML)
  • Published research in top-tier AI/quantum journals
  • Experience with 5G/6G network protocol integration

Required Skills

Quantum Computing Distributed Systems Neural Networks Edge AI Zero-Trust Security Federated Learning Quantum Machine Learning NIST 2026

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