Job Description
Join QuantumLeap Technologies at the forefront of AI infrastructure evolution! We're seeking a visionary AI Infrastructure Architect to design scalable systems for 2026's quantum-ML hybrid workflows. Lead groundbreaking projects in our Austin innovation hub, collaborating with Nobel laureates to build next-gen computing paradigms. Shape the future of human-AI symbiosis while enjoying competitive benefits, flexible hybrid work, and cutting-edge research opportunities.
Responsibilities
- Architect quantum-resistant ML pipelines for 2026-era data processing
- Design hybrid cloud-edge computing infrastructure supporting 10M+ concurrent AI agents
- Develop neural network optimization frameworks for neuromorphic hardware
- Lead cross-functional teams in deploying federated learning systems
- Create security protocols for decentralized AI governance frameworks
- Research emergent computing paradigms (photonic, memristor, bio-inspired)
- Document infrastructure blueprints for quantum-ML hybrid convergence
Qualifications
- PhD in Computer Science/Engineering with 5+ years ML infrastructure experience
- Expertise in quantum-resistant cryptography and zero-knowledge proofs
- Proficiency in Kubernetes/Terraform with 10K+ node deployments
- Published research in Nature/Science on distributed AI systems
- Certification in quantum computing (IBM Qiskit/Amazon Braket)
- Experience with neuromorphic hardware (Loihi, TrueNorth)
- Deep understanding of federated learning and differential privacy