Job Description
Join QuantumLeap Systems at the forefront of 2026's AI revolution. We're seeking visionary AI Infrastructure Architects to design next-generation quantum-entangled computing frameworks that will redefine machine learning paradigms. This role offers unparalleled opportunity to shape the digital landscape of tomorrow while working alongside Nobel Prize-winning researchers in our Austin Innovation Hub.
Responsibilities
- Architect scalable quantum-ML infrastructure supporting 10M+ concurrent inference operations
- Design fault-tolerant neural networks leveraging 2026's photonic processing breakthroughs
- Lead cross-functional teams in deploying generative AI models with sub-1ms latency
- Develop zero-trust security protocols for federated learning ecosystems
- Optimize distributed tensor computations across hybrid quantum-classical systems
- Author whitepapers on neuromorphic computing applications for autonomous systems
Qualifications
- PhD in Quantum Computing or equivalent with 5+ years in AI infrastructure
- Expertise in photonic neural networks and quantum-entangled data pipelines
- Proficiency in 2026's bleeding-edge frameworks: QTensorFlow, QuantumPyTorch
- Certification in Post-Quantum Cryptography (PQC) standards
- Published research in Nature/Science on scalable AI systems
- Experience with neuromorphic chips (Intel Loihi, IBM TrueNorth)
- Mastery of distributed systems at exascale (100+ node clusters)