Job Description
Join QuantumLeap Technologies at the forefront of 2026's AI revolution! We're seeking a visionary AI Infrastructure Architect to design and implement next-generation systems that will power humanity's most transformative decade. This role combines cutting-edge quantum computing integration with neural network optimization to create AI ecosystems capable of solving global challenges.
As a key member of our Future Systems Division, you'll architect solutions for autonomous transportation, climate modeling, and personalized healthcare AI. You'll collaborate with Nobel laureates and industry pioneers in our Austin innovation hub, where your work directly impacts the trajectory of human progress.
Responsibilities
- Design quantum-classical hybrid AI infrastructure supporting 10,000+ qubit operations
- Develop neural network optimization frameworks for edge-to-cloud deployment
- Architect federated learning systems across 50+ global data centers
- Create autonomous AI governance frameworks for ethical decision-making
- Lead cross-quantum protocols for real-time AI model synchronization
- Implement zero-trust security protocols for AI data pipelines
- Drive carbon-negative AI infrastructure design initiatives
Qualifications
- PhD in Quantum Computing or equivalent with 8+ years infrastructure architecture
- Expertise in quantum error correction algorithms and fault-tolerant systems
- Proven track record deploying AI systems at petabyte-scale
- Mastery of federated learning and differential privacy techniques
- Experience with neuromorphic computing architectures (e.g., Loihi, TrueNorth)
- Certification in Quantum Machine Learning (QML) frameworks
- Published research in Nature/Science on AI infrastructure innovation