Job Description
Shape the future of AI infrastructure at QuantumLeap Systems as our 2026 AI Infrastructure Architect. You'll design and deploy next-generation cloud-native systems supporting terascale machine learning workloads, ensuring scalability for 2026's quantum-AI convergence demands. Join a team revolutionizing autonomous systems, neural network optimization, and edge-computing paradigms.
Responsibilities
- Architect hybrid cloud infrastructures supporting petabyte-scale AI/ML pipelines for 2026-era applications
- Design fault-tolerant quantum-classical computing interfaces for real-time inference
- Lead implementation of Kubernetes-based orchestration systems for distributed AI training
- Optimize energy-efficient GPU/TPU clusters for sustainable high-performance computing
- Develop zero-trust security frameworks for federated learning environments
- Coordinate cross-functional teams between DevOps, data science, and hardware engineering
- Establish CI/CD pipelines for infrastructure-as-code deployments
Qualifications
- 10+ years in cloud architecture with 5+ years specializing in AI/ML infrastructure
- Expertise in AWS/Azure/GCP quantum computing services (Braket, Quantum, etc.)
- Proven experience with Kubernetes, Terraform, and Ansible at enterprise scale
- Deep understanding of GPU/TPU optimization frameworks (CUDA, ROCm)
- Certified in GCP Professional Cloud DevOps Engineer or AWS Solutions Architect
- Published research in distributed computing or quantum machine learning preferred
- Experience with MLOps tools (MLflow, Kubeflow, Vertex AI)