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2026 AI Infrastructure Architect

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

Job Description

Join QuantumLeap Technologies at the forefront of 2026's AI revolution. We're seeking a visionary AI Infrastructure Architect to design and implement next-generation systems that will power humanity's most advanced AI applications. This role combines cutting-edge research with practical engineering to create scalable, secure, and hyper-efficient AI infrastructure for our global client portfolio.

As a key member of our Future Systems Division, you'll shape the technological landscape for 2026 and beyond. Our team operates at the intersection of quantum computing, neural networks, and edge AI, pushing boundaries in autonomous systems, predictive analytics, and generative AI. You'll collaborate with Nobel laureates, industry pioneers, and government agencies to build the digital backbone for tomorrow's innovations.

Responsibilities

  • Design and implement quantum-AI hybrid infrastructure supporting petabyte-scale neural networks
  • Architect edge-computing solutions for autonomous systems with sub-millisecond latency requirements
  • Develop secure multi-cloud frameworks for federated learning across geopolitical boundaries
  • Create energy-efficient cooling systems for next-gen AI accelerators using liquid helium technology
  • Lead cross-functional teams in deploying neuromorphic computing clusters
  • Establish compliance frameworks for AI governance under 2026 international regulations
  • Research and integrate emerging quantum-resistant cryptography protocols

Qualifications

  • PhD in Computer Science/Engineering or equivalent with 8+ years AI infrastructure experience
  • Expertise in quantum computing architectures and quantum machine learning algorithms
  • Proven track record designing systems for exascale AI workloads (≥10^21 FLOPS)
  • Deep knowledge of neuromorphic hardware (IBM TrueNorth, Intel Loihi)
  • Advanced certifications in AWS/Azure/GCP quantum services and edge AI deployment
  • Published research in top-tier AI/quantum computing conferences (NeurIPS, QIP)
  • Familiarity with 2026 AI ethics frameworks and regulatory landscapes
  • Experience leading international teams across 5+ time zones

Required Skills

Quantum Computing Neuromorphic Systems Edge AI Exascale Architecture Quantum-Resistant Cryptography Federated Learning Multi-Cloud Orchestration AI Governance

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