Own the end-to-end GPU and cloud infrastructure to power real-time AI agents. This includes provisioning clusters, managing Kubernetes environments, and optimizing inference workloads for scalability and reliability.
Requirements: Requires extensive hands-on experience operating GPU clusters in production and deep proficiency in Kubernetes and AWS. Candidates should have a startup-ready mindset and experience with high-performance machine learning infrastructure.
Key Skills: GPU Infrastructure, Kubernetes, AWS, Distributed Systems, Cloud Provisioning, Model Serving, EKS, Multi-cloud Strategy, Infrastructure as Code, Machine Learning Infrastructure
#J-18808-LjbffrSenior Software Engineer at Tavus in san francisco at Unknown Company
This position is listed as full time and onsite.