🛠 Tech Stack

💼 About This Role

You'll build petabyte-scale storage infrastructure for AI training workloads at a leading AI company. Your work directly enables modeling teams to train and evaluate frontier models. You'll collaborate daily with world-class researchers and engineers on cutting-edge data challenges.

🎯 What You'll Do

• Build and maintain petabyte-scale storage infrastructure
• Solve networking and performance challenges for storage
• Collaborate with researchers and engineers on data infrastructure

📋 Requirements

• 4+ years of experience on data storage infrastructure
• Strong command of Python
• Experience with Kubernetes storage (Persistent Volumes, CSI drivers)
• Ability to transform unstructured data into performant datasets across S3, GCS, POSIX

✨ Nice to Have

• Familiarity with BigQuery, Airflow, or dbt
• Experience with Apache Beam, Spark, or Flink

🎁 Benefits & Perks

• 🤝 An open and inclusive culture and work environment
• 🧑‍💻 Work with a team on the cutting edge of AI research
• 🍽 Weekly lunch stipend, in-office lunches & snacks
• 🦷 Full health and dental benefits, mental health budget
• 🐣 100% Parental Leave top-up for up to 6 months

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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