Job Description
Shape the technological frontier by 2026 as QuantumLeap Dynamics seeks an AI Infrastructure Architect to design next-generation neural networks. Join our Austin-based R&D hub where you'll pioneer scalable quantum-adjacent computing systems for autonomous AI ecosystems. This role demands a visionary leader who can bridge theoretical AI models with tangible hardware implementations.
Our team operates at the intersection of quantum computing, neuromorphic engineering, and decentralized AI networks. You'll collaborate with Nobel laureates and industry pioneers to create the computational backbone for the AI revolution of 2026.
Responsibilities
- Architect quantum-resistant AI infrastructure supporting 10M+ concurrent neural operations
- Design fault-tolerant edge computing systems for distributed AI networks
- Develop hybrid quantum-classical computing frameworks for real-time decision-making
- Lead cross-functional teams in implementing neuromorphic hardware acceleration
- Create security protocols for AI systems processing sensitive personal data
- Optimize energy consumption in next-generation AI data centers
- Research emergent AI paradigms including swarm intelligence and generative adversarial networks
Qualifications
- PhD in Computer Science, Quantum Computing, or equivalent with 5+ years infrastructure architecture
- Expertise in quantum machine learning frameworks (Qiskit, Cirq) and neuromorphic processors
- Proven experience designing petabyte-scale distributed systems with sub-millisecond latency
- Deep understanding of NISQ-era hardware limitations and mitigation strategies
- Published research in top-tier AI/quantum computing conferences (NeurIPS, QIP)
- Proficiency in high-performance computing environments (HPC, GPU/TPU clusters)
- Security clearance for handling classified AI development projects