Job Description
Shape the future of AI infrastructure at QuantumLeap Technologies. We're seeking a visionary AI Infrastructure Architect to design and implement next-generation systems that will power our 2026 technology roadmap. Join a team of pioneers developing quantum-optimized neural networks and autonomous computing frameworks.
This role requires deep expertise in distributed AI systems, quantum computing interfaces, and energy-efficient ML pipelines. You'll collaborate with research teams to translate theoretical models into scalable production environments.
Responsibilities
- Design and deploy quantum-optimized AI infrastructure supporting 10,000+ GPU clusters
- Architect low-latency federated learning networks across 3 continents
- Develop autonomous resource allocation systems for dynamic workloads
- Create security frameworks for quantum-resistant AI models
- Lead cross-functional teams in implementing zero-trust ML pipelines
- Optimize energy consumption of AI systems by 40% by 2026
- Document infrastructure blueprints using quantum-resistant cryptographic standards
Qualifications
- 10+ years in cloud/AI infrastructure with quantum computing exposure
- Expertise in Kubernetes, TensorFlow Quantum, and Cirq frameworks
- Proven experience building petabyte-scale ML data lakes
- Certification in quantum-resistant cryptography (e.g., CRYSTALS-Kyber)
- Published research in distributed AI systems (NeurIPS/ICML preferred)
- Hands-on experience with neuromorphic computing architectures
- Strong background in carbon-aware AI optimization techniques
- Ability to secure TS/SCI clearance for future quantum projects