Job Description
Join QuantumLeap Technologies as we pioneer the next wave of computational infrastructure for 2026. We're seeking a visionary AI Infrastructure Architect to design and deploy next-generation systems that will power breakthrough artificial intelligence applications. This role demands a strategic thinker who can translate cutting-edge research into scalable, high-performance infrastructure solutions. You'll lead the architectural blueprint for our 2026 AI ecosystem, ensuring optimal performance, security, and scalability. Collaborate with world-class researchers and engineers to build the foundation of tomorrow's intelligent systems. This is your chance to shape the technological landscape of the next decade.
Responsibilities
- Design and implement scalable AI infrastructure solutions supporting terascale model training by 2026
- Architect hybrid cloud/on-prem systems for quantum-AI convergence computing
- Develop security frameworks for distributed AI systems processing sensitive data
- Create performance optimization strategies for next-gen GPU/TPU deployments
- Lead cross-functional teams in implementing zero-trust architectures for AI environments
- Research and integrate emerging technologies (photonic computing, neuromorphic chips) into infrastructure roadmaps
- Define KPIs for infrastructure efficiency and sustainability targets
Qualifications
- 10+ years in enterprise infrastructure architecture with 5+ years in AI/ML environments
- Expertise in Kubernetes, Terraform, and cloud-native deployment patterns
- Proven track record designing systems for 100+ GPU clusters or equivalent
- Deep understanding of quantum computing principles and their AI applications
- Certifications in AWS/Azure/GCP with specialty in machine learning infrastructure
- Experience with photonic computing and neuromorphic hardware integration
- Published research in distributed systems or high-performance computing
- Mastery of Python, Go, and infrastructure-as-code methodologies