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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Infrastructure Architect

QuantumLeap Technologies
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join QuantumLeap Technologies at the forefront of the 2026 tech revolution! We're seeking an innovative AI Infrastructure Architect to design the computational backbone for next-generation AI systems. As we prepare for the quantum-AI convergence era, you'll architect scalable, secure, and hyper-efficient infrastructure that powers autonomous systems, predictive analytics, and real-time machine learning at unprecedented scales.

Our Austin-based team operates at the intersection of quantum computing, edge AI, and decentralized networks. You'll collaborate with Nobel laureates and industry pioneers to solve humanity's most complex challenges while shaping the technological landscape of the decade. This role offers unmatched opportunities to influence global AI infrastructure standards and pioneer solutions that will define 2026 and beyond.

Responsibilities

  • Architect quantum-ready AI infrastructure supporting 10,000+ GPU/TPU clusters
  • Design hybrid cloud-edge architectures for real-time inference at nanosecond latency
  • Implement zero-trust security frameworks for federated learning environments
  • Optimize data pipelines processing 1PB+ daily across distributed quantum nodes
  • Develop predictive scaling algorithms for dynamic resource allocation
  • Lead cross-functional teams in deploying next-gen AI/ML frameworks
  • Document architecture blueprints and compliance frameworks for 2026 regulatory landscape

Qualifications

  • 8+ years in distributed systems architecture with 5+ years in AI/ML infrastructure
  • Expertise in Kubernetes, Terraform, and multi-cloud orchestration (AWS/Azure/GCP)
  • Deep knowledge of quantum computing principles and quantum-resistant cryptography
  • Proven experience with large-scale ML frameworks (TensorFlow, PyTorch, JAX)
  • Certifications in AWS/Azure/GCP architecture and security
  • Published research in AI infrastructure optimization or quantum computing
  • Mastery of performance profiling tools (Prometheus, Grafana, NVIDIA DCGM)
  • Ability to communicate complex technical concepts to executive stakeholders

Required Skills

Quantum Computing Distributed Systems Kubernetes Terraform AI/ML Infrastructure Zero-Trust Security Multi-Cloud Performance Optimization

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