Job Description
Join QuantumLeap Systems at the forefront of technological evolution as we pioneer the next wave of AI-driven infrastructure. We seek a visionary AI Infrastructure Architect to design scalable, quantum-resistant systems that will power innovations through 2026 and beyond. This role offers unparalleled opportunity to shape the future of distributed computing while working alongside Nobel Prize-winning researchers in our state-of-the-art Austin Innovation Center.
Our team operates at the intersection of quantum computing, edge AI, and next-gen networking protocols. You'll architect solutions that process exabyte-scale datasets while maintaining sub-millisecond latency – critical for autonomous systems and real-time predictive analytics.
Responsibilities
- Design and implement quantum-safe distributed computing frameworks for AI model training
- Architect hybrid cloud-on-premise infrastructure supporting 10,000+ GPU clusters
- Develop zero-trust security protocols for federated learning environments
- Optimize AI inference pipelines for edge-to-cloud deployment architectures
- Lead migration from legacy systems to neuromorphic computing platforms
- Create disaster recovery protocols for quantum-resistant data centers
- Mentor cross-functional teams on next-gen infrastructure best practices
Qualifications
- 8+ years in distributed systems architecture with 3+ years in AI/ML infrastructure
- Expertise in Kubernetes, Terraform, and Ansible at enterprise scale
- Proven experience with quantum-resistant cryptography implementations
- Deep knowledge of GPU acceleration (NVIDIA CUDA/ROCm) and TPUs
- Published research in high-performance computing or AI infrastructure
- CISSP or equivalent security certification required
- Experience with neuromorphic computing platforms (Intel Loihi, IBM TrueNorth)
- MSc/PhD in Computer Science or related technical field preferred