Member of Technical Staff, Cloud Infrastructure

📋 Description Architect scalable backend infra for distributed training, inference, data pipelines. Lead design discussions; mentor engineers; establish best practices. Design and implement core backend services: schedulers, resource managers, autoscalers, serving. Drive infra optimization: compute cost, storage lifecycle, network performance. Collaborate with ML/DevOps/product teams to translate needs into infra solutions. Evaluate cloud-native/open-source tech (Kubernetes, Kubeflow, MLFlow) to enhance platform. 🎯 Requirements Bachelor's degree in CS/Engineering or equivalent practical experience. 5+ years designing/building backend infra in cloud (AWS/GCP/Azure). ML infra experience with PyTorch, TensorFlow, Vertex AI, SageMaker, Kubernetes. Strong Python or C++ software development skills. Deep understanding of distributed systems: scheduling, orchestration, storage, networking, compute. 🎁 Benefits Equity in a fast-growing startup and comprehensive benefits package. Competitive total compensation with meaningful equity. Ownership & impact: your work shapes the future of AI. Collaborative, world-class engineering and AI research environment. Opportunity to work with cutting-edge AI infrastructure and workloads. Equal-opportunity employer; inclusive environment.