Job Description
Shape the future as QuantumLeap Dynamics seeks a pioneering AI Systems Architect to design next-generation autonomous frameworks for 2026. Join our elite team at the intersection of quantum computing and neuromorphic engineering to revolutionize human-AI collaboration. This role demands visionary thinking to architect systems that transcend current limitations, enabling seamless integration of quantum AI, ethical governance frameworks, and predictive analytics for global enterprises.
At QuantumLeap, we incubate paradigm-shifting technologies in our Austin innovation hub. You'll lead cross-disciplinary initiatives to develop self-evolving neural networks that adapt in real-time to emerging societal needs. Our culture celebrates audacious innovation – where your breakthroughs could redefine industries from healthcare to sustainable energy.
Responsibilities
- Architect quantum-resistant AI systems with autonomous decision-making capabilities for 2026 deployment
- Design ethical governance frameworks ensuring alignment with human values and regulatory compliance
- Lead development of neuromorphic computing interfaces enabling human-AI symbiosis
- Integrate predictive analytics with real-world IoT ecosystems for autonomous infrastructure management
- Collaborate with quantum computing specialists to optimize hybrid classical-quantum AI models
- Pioneer adaptive neural networks that evolve through continuous self-learning mechanisms
- Develop cross-platform AI frameworks compatible with emerging 6G and metaverse technologies
Qualifications
- PhD in Computer Science/AI with 5+ years in advanced system architecture or equivalent breakthrough experience
- Expertise in quantum machine learning frameworks (Qiskit, Cirq) and neuromorphic computing (Loihi, TrueNorth)
- Proven track record deploying autonomous systems at scale with 99.99% reliability
- Mastery of ethical AI governance frameworks (EU AI Act, NIST RMF) implementation
- Published research in top-tier AI/quantum journals (Nature, Science, NeurIPS)
- Proficiency in distributed AI architectures across edge-cloud-hybrid environments
- Experience with 6G protocol integration and metaverse development ecosystems