仕事内容
<div class="content-intro"><h2><strong>Who We Are</strong></h2>
<p>Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction.</p>
<p>Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.</p>
<p>We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.</p>
<div class="c-message_actions__container c-message__actions"> </div></div><h2><strong>What We’re Looking For</strong></h2>
<p>Lightning AI is looking to hire a <strong>Platform Support Engineer </strong>to join our APAC Customer Experience team, supporting ML engineers running large-scale training and inference workloads across cloud infrastructure, Kubernetes, and GPU platforms in production environments.</p>
<p>This role is not a ticket router or traditional support engineer. You are a technical partner to ML teams - helping diagnose failures, improve reliability, and guide customers through complex distributed systems problems.The problems range from Kubernetes scheduling and GPU orchestration to distributed PyTorch failures, inference latency, networking bottlenecks, storage performance, and platform reliability. You’ll gain exposure to a wide variety of real world AI workloads across industries and help shape the infrastructure powering the next generation of ML applications.</p>
<p><em>This role is remote and open to candidates based in either the Philippines or Singapore. The role follows a Thursday–Sunday schedule, with working
求めるスキル
Python
PyTorch
CUDA
Kubernetes
MLOps