Job Description
Join QuantumLeap Systems at the forefront of 2026's technological revolution! We're seeking an AI Infrastructure Architect to design next-generation computing ecosystems that power autonomous systems and quantum-ML hybrids. As a key innovator, you'll architect scalable, fault-tolerant infrastructures for our flagship Quantum Neural Processing Units (QNPU) while pioneering edge-AI deployment strategies.
At QuantumLeap, you'll collaborate with Nobel Prize-winning researchers and deploy solutions that process exabytes of data in real-time. Our Austin hub offers cutting-edge labs, unlimited R&D budgets, and flexible hybrid work arrangements. Shape the future of human-AI symbiosis and accelerate your career in our patent-pending innovation pipeline.
Responsibilities
- Design quantum-resistant AI infrastructure supporting 10M+ concurrent neural network operations
- Architect federated learning systems across 50+ global edge nodes with <5ms latency
- Develop fault-tolerant hybrid cloud architectures for autonomous vehicle fleets
- Implement zero-trust security frameworks for AI model deployment pipelines
- Optimize QNPU-accelerated training workflows for generative AI models
- Lead cross-functional teams in migrating legacy systems to quantum-safe architectures
- Define industry standards for AI infrastructure scalability and ethical AI deployment
Qualifications
- 10+ years in high-performance computing with 5+ years in AI/ML infrastructure
- Expertise in Kubernetes, Terraform, and quantum computing frameworks (Qiskit/Cirq)
- PhD in Computer Science or equivalent with focus on distributed systems
- Published research in fault-tolerant quantum computing or neuromorphic architectures
- Proven track record architecting systems processing >10PB daily data volumes
- Security clearance (active or eligible) for government AI projects
- Experience with neuromorphic processors (Loihi, TrueNorth) or photonic computing