Job Description
Shape the computational backbone of 2026. QuantumLeap Technologies seeks a visionary AI Infrastructure Architect to design next-generation systems that will power humanity's most advanced AI applications. This role combines deep technical expertise with strategic foresight to build scalable, secure, and energy-efficient infrastructures for the AI revolution. Join our elite team at the intersection of quantum computing, neural networks, and edge intelligence.
Responsibilities
- Architect end-to-end AI infrastructure solutions integrating quantum processors, neuromorphic chips, and distributed edge networks.
- Design fault-tolerant systems for 2026-era LLMs with petascale parameter capacity and sub-millisecond latency.
- Develop hybrid cloud/on-prem deployment strategies for real-time AI inference at global scale.
- Create zero-trust security frameworks for AI data pipelines and model integrity verification.
- Optimize energy consumption for AI clusters using liquid cooling and renewable energy integration.
- Lead cross-functional teams in implementing cutting-edge technologies like photonic computing and 3D-stacked memory.
- Document architecture blueprints using advanced digital twin simulations for 2026-era scenarios.
Qualifications
- PhD in Computer Engineering or equivalent with 10+ years in high-performance computing architecture.
- Expertise in quantum computing frameworks, neuromorphic hardware, and photonic interconnects.
- Proven track record designing systems for >10,000 GPU clusters with sub-5ms latency.
- Deep understanding of AI model parallelism techniques for trillion-parameter models.
- Certification in quantum security protocols and post-quantum cryptography standards.
- Experience with 3D-stacked memory architectures and cryogenic computing systems.
- Published research in top-tier AI/ML conferences (NeurIPS, ICML, CVPR) on infrastructure optimization.