🛠 Tech Stack

💼 About This Role

You'll architect distributed systems and APIs for an AI-driven simulation platform at PhysicsX, a deep-tech company rooted in Formula One. Your core impact is building data pipelines that store and serve high-dimensional simulation data for AI training. This role offers work on complex physical simulations with a modern tech stack.

🎯 What You'll Do

• Design scalable distributed systems and APIs for simulation data.
• Build automated data pipelines for AI training loops.
• Integrate with Data Warehouses and Data Lakes.
• Create internal BI systems and scientific visualizations.
• Implement high-performance storage for simulation workloads.

📋 Requirements

• Strong command of Golang and Python.
• Experience building distributed systems with big data pipelines in production.
• Practical experience with Data Warehouses/Data Lakes (e.g., Databricks, Snowflake).
• Ability to diagnose performance bottlenecks in data processing systems.