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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Infrastructure Architect

QuantumLeap Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join QuantumLeap Dynamics at the forefront of technological evolution as we pioneer the next generation of AI infrastructure for 2026. We're seeking a visionary AI Infrastructure Architect to design and implement scalable, quantum-resistant systems that will power tomorrow's intelligent enterprises. This role sits at the intersection of cutting-edge research and real-world deployment, offering unparalleled opportunity to shape the digital landscape of the future.

Our ideal candidate thrives in ambiguity, possesses deep technical expertise, and demonstrates relentless curiosity about emerging technologies. You'll collaborate with world-class researchers, product innovators, and industry disruptors to build infrastructure that anticipates and exceeds the demands of 2026's AI-driven economy.

Responsibilities

  • Architect quantum-resistant AI infrastructure capable of supporting exascale computing demands
  • Design edge-cloud hybrid systems for distributed AI model deployment
  • Lead implementation of neuromorphic computing integration
  • Develop security frameworks for next-gen AI threat vectors
  • Optimize infrastructure for energy-efficient AI operations
  • Partner with research teams to prototype future-proof computing architectures
  • Drive adoption of autonomous infrastructure management systems
  • Establish performance benchmarks for 2026-era AI workloads

Qualifications

  • 10+ years in infrastructure architecture with 5+ years in AI/ML environments
  • Expertise in Kubernetes, Terraform, and cloud-native ecosystems
  • Deep understanding of quantum-resistant cryptography principles
  • Proven experience with neuromorphic computing platforms
  • Advanced knowledge of distributed systems and microservices architecture
  • Published research in AI infrastructure or related fields preferred
  • Strong background in energy-efficient computing methodologies
  • Ability to translate complex technical concepts into actionable roadmaps

Required Skills

AI Infrastructure Quantum Computing Neuromorphic Systems Kubernetes Terraform Distributed Systems Quantum-Resistant Cryptography Edge Computing

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