Lightning AI
AI
PlatformSupportEngineer
“Platform Support Engineer at Lightning AI. Skills: Platform Support, ML Infrastructure, Distributed Systems. Work Directly With ML Engineers. Partner with customer engineering teams”
What You'll Achieve.
take ideas from research to production with less friction; support ML engineers; help shape the infrastructure powering the next generation of ML applications
Industry & Context.
diagnose failures; improve reliability; guide customers through complex distributed systems problems; Debug ML Infrastructure
EMEA Customer Experience team, EMEA shifts (9AM–7PM CET/CEST), Sunday–Wednesday, Saturday–Tuesday, Thursday–Sunday, hybrid out of our London office, at least 2 days per week, occasional team and company offsites, not able to provide visa sponsorship
What They're Looking For.
Must Have
ML engineers running large-scale training and inference workloads across cloud infrastructure, Kubernetes, and GPU platforms in production environments, technical partner to ML teams, diagnose failures, improve reliability, guide customers through complex distributed systems problems, Kubernetes scheduling, GPU orchestration, distributed PyTorch failures, inference latency, networking bottlenecks, storage performance, platform reliability, exposure to a wide variety of real world AI workloads, shape the infrastructure powering the next generation of ML applications
Nice to Have
experience with PyTorch Lightning
What You'll Do.
Work Directly With ML Engineers
Partner with customer engineering teams
running training and inference workloads
Help customers diagnose and resolve issues
Act as a technical advisor
Translate infrastructure level issues
Build credibility with customers
How You'll Work.
Team & Collaboration
Partner directly with customer engineering teams; technical partner to ML teams
Communication Scope
clear communication
Applying for this Platform Support Engineer role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Greenhouse
- Create a Greenhouse profile before applying — it saves time across multiple applications.
- Upload your resume as a PDF; the parser handles it better than Word.
- Answer all knockout questions carefully — wrong answers auto-reject before a human sees you.
- Enable email notifications to track application status in real time.
ANONYMOUS · UNFILTERED
What do employees actually say about Lightning AI?
Real rants from real employees. Read before you apply.