Job Description
Join QuantumLeap Technologies at the forefront of 2026's AI revolution! We're seeking a visionary AI Infrastructure Architect to design and implement next-generation systems that will power the world's most advanced artificial intelligence applications. This pivotal role combines deep technical expertise with strategic foresight to build scalable, secure, and high-performance infrastructure for our rapidly expanding AI ecosystem. You'll work alongside world-class researchers and engineers to solve complex challenges that will define the technological landscape of tomorrow.
Responsibilities
- Design and implement cutting-edge AI infrastructure solutions including distributed computing frameworks and quantum-inspired architectures
- Develop strategic roadmaps for 2026-era AI systems, prioritizing scalability, efficiency, and security
- Lead cross-functional teams to integrate emerging technologies like neuromorphic computing and photonic processors
- Architect cloud-native solutions supporting terascale model training and real-time inference at edge locations
- Establish performance benchmarks and optimization protocols for next-gen AI workloads
- Collaborate with product teams to align infrastructure capabilities with 2026 market requirements
- Research and prototype novel approaches to AI hardware-software co-design
Qualifications
- 10+ years of experience in high-performance computing and AI infrastructure architecture
- Expertise in distributed systems, Kubernetes, and cloud-native architectures (AWS/GCP/Azure)
- Deep understanding of AI/ML frameworks (PyTorch, TensorFlow) and hardware acceleration technologies
- Proven track record of designing systems supporting 10,000+ GPU clusters
- Strong knowledge of quantum computing principles and quantum-inspired algorithms
- Experience with edge computing architectures and low-latency network design
- Published research in AI infrastructure or related fields preferred
- Ability to translate complex technical concepts into strategic business value