Job Description
Join QuantumLeap Systems at the forefront of technological evolution as we build the AI infrastructure for 2026. We're seeking an innovative AI Infrastructure Architect to design next-generation systems that power autonomous technologies, quantum computing integration, and neural network optimization. You'll lead the blueprint for scalable, secure, and energy-efficient AI ecosystems that will redefine industries.
As a key member of our Future Technologies division, you'll collaborate with quantum physicists, machine learning researchers, and cybersecurity experts to create infrastructure that processes exascale workloads while maintaining zero-trust security protocols. This role offers unparalleled opportunities to shape the technological landscape of the coming decade.
Responsibilities
- Design and implement AI infrastructure architectures supporting 10,000+ GPU clusters
- Develop quantum-classical hybrid computing frameworks for 2026-era workloads
- Create zero-trust security protocols for AI data pipelines and model deployment
- Optimize neural network training pipelines with energy-efficient cooling solutions
- Lead migration strategies from legacy systems to next-gen AI infrastructure
- Document architecture blueprints and compliance frameworks for emerging regulations
- Mentor cross-functional teams on AI infrastructure best practices
Qualifications
- 10+ years in infrastructure architecture with 5+ years specializing in AI/ML systems
- Expertise in Kubernetes, Docker, and distributed computing frameworks
- Certification in quantum computing architecture (IBM Q, Google Quantum)
- Proven experience with exascale computing and GPU acceleration technologies
- Deep understanding of NIST AI Risk Management Framework (AI RMF 1.0)
- Published research in energy-efficient AI or quantum machine learning
- Experience with AWS/Azure/GCP and hybrid cloud deployments
- Ability to translate complex technical concepts for executive stakeholders