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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Infrastructure Architect

Nexus Dynamics
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Shape the future of AI infrastructure at Nexus Dynamics. We're seeking a visionary 2026 AI Infrastructure Architect to design next-generation systems that will power the technological landscape of tomorrow. Join our elite team at the forefront of quantum computing, neural networks, and autonomous systems.

In this pivotal role, you'll architect scalable solutions for enterprise AI workloads, optimize edge-to-cloud architectures, and pioneer breakthroughs in distributed computing. You'll collaborate with Nobel laureates and industry disruptors to redefine what's possible in AI infrastructure.

Why Nexus Dynamics?

  • Lead multi-billion dollar AI transformation initiatives
  • Access to cutting-edge quantum computing resources
  • Equity packages in our pre-IPO growth phase
  • Unlimited learning stipend for future-tech certifications

Responsibilities

  • Design and implement distributed AI infrastructure supporting 10M+ concurrent neural network operations
  • Architect quantum-classical hybrid computing environments for real-time inference
  • Optimize edge-to-cloud pipelines for sub-millisecond AI response times
  • Develop zero-trust security frameworks for AI model deployment
  • Lead cross-functional teams across 3 global R&D centers
  • Research and prototype next-gen computing paradigms (neuromorphic, photonic)
  • Define industry standards for 2026-era AI infrastructure

Qualifications

  • PhD in Computer Science/Engineering or 10+ years equivalent experience
  • Expertise in Kubernetes, TensorFlow/PyTorch, and quantum computing APIs
  • Proven track record architecting petabyte-scale AI systems
  • Published research in top-tier AI/ML conferences (NeurIPS, ICML)
  • Certifications in AWS/Azure/GCP quantum services
  • Experience with neuromorphic computing hardware (Intel Loihi, IBM TrueNorth)
  • Deep understanding of AI ethics and bias mitigation frameworks

Required Skills

Quantum Computing Distributed Systems Kubernetes TensorFlow Neuromorphic Engineering Zero-Trust Security AI Ethics Edge Computing

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