Job Description
Join QuantumLeap Dynamics as we pioneer the quantum computing frontier in 2026. We seek an AI Infrastructure Architect to design next-generation neural networks that power autonomous systems and predictive analytics. This role sits at the intersection of quantum mechanics, machine learning, and distributed computing, offering unparalleled opportunities to shape humanity's technological evolution.
You'll collaborate with Nobel laureates and industry disruptors in our Austin innovation hub, where your work will directly influence global AI standards. Our culture rewards bold experimentation and offers unparalleled resources for research breakthroughs.
Responsibilities
- Design quantum-resistant AI architectures supporting petabyte-scale data processing
- Lead implementation of neuromorphic computing systems for real-time autonomous decision-making
- Develop hybrid quantum-classical ML pipelines achieving 99.99% prediction accuracy
- Architect edge-computing frameworks enabling zero-latency AI deployment at global scale
- Optimize neural network topologies for energy-efficient quantum processors
- Mentor cross-functional teams in emerging AI paradigms (federated learning, generative adversarial networks)
- Drive compliance with 2026 global AI governance frameworks
Qualifications
- PhD in Quantum Computing or equivalent with 8+ years of AI infrastructure experience
- Proven expertise in quantum machine learning frameworks (Qiskit, Cirq, PennyLane)
- Published research in Nature/Science journals on AI-quantum integration
- Advanced certification in neuromorphic engineering (Intel Loihi, IBM TrueNorth)
- Mastery of distributed systems (Kubernetes, Apache Spark, Ray) at petabyte scale
- Experience with generative adversarial networks for synthetic data generation
- Deep knowledge of post-quantum cryptography standards (NIST PQC candidates)