Job Description
Join QuantumLeap Technologies at the forefront of AI innovation! We're seeking a visionary AI Infrastructure Architect to design and implement cutting-edge systems that will power the technological landscape of 2026. This role offers the unique opportunity to shape the future of distributed computing, quantum-classical hybrid systems, and next-generation neural networks. You'll collaborate with world-class researchers to build scalable, resilient infrastructure capable of supporting trillion-parameter models while maintaining energy efficiency and security. Our Austin headquarters features state-of-the-art labs and a culture that celebrates disruptive thinking.
Responsibilities
- Design quantum-inspired distributed computing architectures for 2026-era AI workloads
- Lead implementation of hybrid quantum-classical ML pipelines with sub-millisecond latency
- Develop zero-trust security frameworks for federated learning environments
- Optimize energy-efficient AI training systems using neuromorphic computing principles
- Create automated infrastructure orchestration for autonomous ML lifecycle management
- Architect cross-platform compatibility between quantum processors, GPUs, and neuromorphic chips
- Establish KPI frameworks for measuring AI infrastructure efficiency and ethical alignment
Qualifications
- 10+ years in high-performance computing with 5+ years in AI infrastructure design
- Expertise in quantum computing concepts (Q#, Cirq) and hybrid system integration
- Proficiency with container orchestration (Kubernetes, Docker) and cloud-native deployments
- Deep knowledge of neuromorphic computing frameworks (Loihi, Speck)
- Experience with federated learning frameworks (TensorFlow Federated, PySyft)
- Certification in quantum security protocols and post-quantum cryptography
- Published research in distributed AI systems or quantum machine learning
- Ability to translate complex technical concepts to executive stakeholders