Job Description
Join QuantumLeap Labs at the forefront of AI infrastructure revolution! We're seeking a visionary AI Infrastructure Architect to design scalable systems for 2026-era machine learning workloads. Shape the future of distributed computing, quantum-cloud hybrids, and autonomous resource optimization while working with cutting-edge technologies like photonic processors and neuromorphic chips.
Our Austin hub offers unmatched work-life integration with flexible schedules, generative wellness stipends, and equity participation in our 2026 technology roadmap. Collaborate with Nobel laureates and Turing Award winners to build the computational backbone for tomorrow's AI breakthroughs.
Responsibilities
- Design fault-tolerant distributed systems supporting exascale AI training by 2026
- Architect quantum-cloud hybrid infrastructure with photonic interconnects
- Develop autonomous resource optimization algorithms for dynamic workloads
- Create zero-trust security frameworks for federated learning networks
- Lead migration strategies from classical to neuromorphic computing
- Establish SLAs for sub-millisecond inference in edge-quantum environments
- Document architecture blueprints using quantum-safe digital signatures
Qualifications
- 10+ years designing high-performance computing infrastructure
- Expertise in Kubernetes, TensorFlow Quantum, and photonic networking
- Published research in quantum machine learning or neuromorphic systems
- Proven experience with 100+ node quantum annealing clusters
- Advanced certification in AWS Quantum Technologies or Azure Quantum
- Deep understanding of NIS2 compliance frameworks
- Contributions to open-source quantum computing projects
- PhD in Quantum Computing or equivalent industry breakthroughs