Job Description
Join QuantumLeap Solutions at the forefront of technological innovation as we architect the AI infrastructure for 2026. We're seeking a visionary engineer to design and implement next-generation quantum computing frameworks that will revolutionize data processing. This role offers unparalleled opportunities to shape the future of artificial intelligence while collaborating with world-class researchers in Austin's thriving tech ecosystem.
Responsibilities
- Design scalable quantum-resistant neural network architectures
- Lead implementation of federated learning systems across distributed quantum nodes
- Develop ethical AI governance frameworks for autonomous decision-making systems
- Optimize quantum-classical hybrid computing pipelines for real-time data processing
- Collaborate with bioinformatics teams to integrate AI with synthetic biology platforms
- Architect zero-knowledge proof systems for secure AI model sharing
- Research quantum machine learning algorithms for 2026-era computational challenges
Qualifications
- PhD in Quantum Computing or 10+ years in advanced AI infrastructure
- Expertise in quantum error correction and fault-tolerant systems
- Proficiency with TensorFlow Quantum and Cirq frameworks
- Published research in Nature/Science on quantum machine learning
- Experience with neuromorphic computing architectures
- Certification in quantum-safe cryptography (NIST standards)
- Track record of deploying systems at quantum advantage scale