Forward Deployment Engineer (Inference & RL POC)

Job description

Location: Bay area (frequent customer interaction) Team: Inference & Reinforcement Learning Platform About the Role: We're looking for a Forward Deployment Engineer (FDE) to work directly with customers and partners to design, deploy, and validate inference and reinforcement learning (RL) proof-of-concepts on GMI's GPU infrastructure. This is a high-impact, hybrid engineering role that sits at the intersection of platform engineering, applied ML, and customer success. You'll be embedded with customers during early-stage deployments—turning research ideas, datasets, and business requirements into working, performant systems on real GPU clusters. If you enjoy being close to users, debugging real systems, and shipping results fast (not just writing docs), this role is for you. Description: Own customer POCs end-to-end: - Deploy and optimize LLM inference , RL training , and post-training workflows on GMI clusters - Translate customer requirements into concrete system designs and experiments Forward-deploy with customers: - Work hands-on with research teams, startups, and enterprise customers - Debug performance, stability, and correctness issues in real environments Inference deployme...