Job Description
Join QuantumLeap Technologies at the forefront of technological evolution. We're seeking a visionary 2026 AI Infrastructure Architect to design and implement next-generation AI systems that will redefine industries by 2026. This role combines cutting-edge machine learning with scalable cloud infrastructure to create autonomous solutions for our global clients.
You'll lead the development of quantum-resistant AI frameworks, optimize neural network architectures for edge computing, and pioneer federated learning models across distributed systems. Our team operates at the intersection of theoretical research and practical deployment, ensuring our innovations transition from lab to production seamlessly.
Positioned in our San Francisco innovation hub, you'll collaborate with Nobel laureates, Turing Award recipients, and industry disruptors. We offer competitive equity packages, unlimited learning stipends, and flexible work arrangements designed for peak productivity.
Responsibilities
- Design quantum-safe AI infrastructure supporting 10M+ concurrent model executions
- Architect federated learning systems for cross-border data compliance
- Develop hybrid cloud-edge computing frameworks for real-time inference
- Create automated MLOps pipelines for continuous model optimization
- Lead security-first approaches to adversarial AI attacks
- Implement energy-efficient computing for sustainable AI operations
- Collaborate with product teams to define 2026 AI roadmaps
Qualifications
- PhD or Master's in Computer Science/AI with 8+ years infrastructure experience
- Expertise in distributed systems (Kubernetes, Ray, Spark) at petabyte scale
- Proven track record building production-grade ML pipelines (TensorFlow/PyTorch)
- Deep knowledge of quantum-resistant cryptography and post-quantum algorithms
- Advanced certifications in AWS/GCP/Azure with multi-region deployments
- Published research in top-tier AI/ML conferences (NeurIPS, ICML)
- Experience with regulatory frameworks (GDPR, CCPA, NIST AI RMF)