Job Description
Shape the future of AI infrastructure at QuantumLeap Technologies! We're seeking a visionary 2026 AI Infrastructure Architect to design next-generation systems that will power artificial intelligence breakthroughs. Join our elite team in San Francisco and build scalable, quantum-resistant architectures for the decade ahead. This role offers unparalleled opportunities to pioneer solutions that will define the technological landscape of 2026 and beyond.
Responsibilities
- Design quantum-resistant AI infrastructure supporting terascale model training
- Architect edge-to-cloud hybrid systems for real-time inference at planetary scale
- Lead implementation of neuromorphic computing frameworks for 2026 workloads
- Develop zero-trust security protocols for distributed AI ecosystems
- Optimize power-efficient cooling solutions for exascale computing clusters
- Establish CI/CD pipelines for autonomous infrastructure deployment
- Collaborate with quantum computing teams to hybridize classical-quantum workflows
Qualifications
- 10+ years in high-performance computing with 5+ years in AI infrastructure
- Expertise in Kubernetes, TensorFlow/PyTorch distributed training, and GPU acceleration
- Deep understanding of quantum-resistant cryptography and post-quantum algorithms
- Experience with neuromorphic computing (Intel Loihi, IBM TrueNorth) or photonic processors
- Certification in AWS/GCP/Azure with specialization in ML infrastructure
- Published research in IEEE/ACM on scalable AI systems
- Proven ability to architect solutions for 10,000+ node distributed systems