🛠 Tech Stack

💼 About This Role

You'll build the hosted training platform that lets users launch fine-tuning runs on managed GPU clusters. You'll design the developer-facing platform and the Kubernetes-based training infrastructure. This role spans full-stack product development and distributed systems at frontier AI scale.

🎯 What You'll Do

• Design and operate Kubernetes-based training orchestration across multi-cloud GPU fleets
• Build FastAPI backend services and REST APIs for job submission and monitoring
• Ship product UI in Next.js / React / TypeScript with live run monitoring
• Develop Python control-plane agents that watch pods and keep clusters in sync

📋 Requirements

• 3-5 years of experience in platform or infrastructure engineering
• Strong Kubernetes operations experience with Helm, CRDs, operators
• Strong Python backend development with FastAPI
• Working knowledge of distributed training and GPU hardware

✨ Nice to Have

• Experience with vLLM, SGLang, or TensorRT-LLM
• Familiarity with GCP (GKE, GCS) and infrastructure automation
• Frontend experience with React/Next.js and TypeScript

🎁 Benefits & Perks

• 💰 Competitive salary ($150K–$300K) with significant equity
• 🏡 Flexible work (remote or San Francisco office)
• 🛂 Full visa sponsorship and relocation support
• 📚 Professional development budget for courses and conferences
• 🌍 Regular team off-sites and conference attendance

📨 Hiring Process

Estimated timeline: 1-3 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Final Round· 60 min