Senior ML / AI Operations Engineer, Tapestry
X, Mountain View, CA (HQ)
About the job
Role Overview
We are seeking a Senior ML / AI Operations Engineer to architect, deploy, and scale our core AI compute platform. Operating at the unique intersection of large scale machine learning and AI and critical energy infrastructure, our team builds the intelligent platform that powers renewable energy interconnection, autonomous grid dispatch and optimization, -long-term grid planning, and energy-domain foundation models.
In this role, you will bridge the gap between applied research and industrial grade production systems. You will be responsible for orchestrating distributed GPU/TPU training clusters, high-throughput inference serving pipelines, and the agentic execution environments for state-of-the-art agent workflows. You will ensure that our intelligent energy models deliver high reliability, low latency, and operational excellence at petabyte scale.
Key Responsibilities
Agentic Infrastructure and Tool Execution Platforms
- Architect secure, scalable, and isolated runtime environments (sandboxes, microVMs, or container pools) that allow autonomous AI agents to safely execute code, invoke APIs, and run complex simulations.