Job Description
Join QuantumLeap Technologies at the forefront of AI evolution! We're seeking a visionary AI Infrastructure Architect to design and implement next-generation systems that will power our 2026 technological roadmap. This role offers the unique opportunity to shape the infrastructure backbone for autonomous systems, quantum computing integration, and real-time global AI networks.
Our ideal candidate thrives in high-impact environments, pushing the boundaries of what's possible in distributed computing, machine learning scalability, and sustainable data center design. You'll collaborate with Nobel laureates and industry pioneers to solve humanity's most complex challenges.
What We Offer:
- Equity participation in breakthrough patents
- Access to cutting-edge quantum computing resources
- Unlimited professional development credits
- Flexible hybrid work with global travel opportunities
Responsibilities
- Architect end-to-end AI infrastructure supporting 10M+ concurrent model deployments
- Design zero-latency edge computing networks for real-time autonomous systems
- Develop quantum-AI hybrid computing frameworks for 2026-scale workloads
- Implement carbon-negative data center operations using advanced cooling tech
- Create predictive maintenance systems for trillion-parameter model clusters
- Lead cross-continental infrastructure synchronization for global AI networks
- Establish security protocols for federated learning across sovereign jurisdictions
- Optimize inference engines for sub-millisecond response times
Qualifications
- PhD in Computer Science/Engineering or equivalent practical experience
- 10+ years designing petabyte-scale distributed systems
- Expertise in Kubernetes, TensorFlow Extended, and quantum computing SDKs
- Proven track record of optimizing ML pipelines for 99.999% uptime
- Published research in ACM/IEEE journals on scalable AI infrastructure
- Certification in quantum cloud architecture (IBM Q, AWS Braket)
- Experience with neuromorphic computing and photonic processors
- Deep understanding of GDPR, CCPA, and emerging AI regulatory frameworks