🛠 Tech Stack

💼 About This Role

You'll design and build scalable backend systems, pipelines, and cloud infrastructure for a physical AI model that simulates the real world. You'll help bring ML models to production, optimizing performance and reliability for global energy and robotics applications. This is an early engineering role at a high-impact startup.

🎯 What You'll Do

• Design and deploy backend pipelines and cloud infrastructure.
• Shape architecture and technical roadmap.
• Deploy ML models serving energy traders.
• Identify and fix performance bottlenecks.

📋 Requirements

• Bachelor's degree in Computer Science or related field.
• 5+ years of software engineering experience.
• Strong experience with modern Python in production systems.
• Ability to make pragmatic decisions and manage technical debt.

✨ Nice to Have

• Exposure to Data Engineering.
• Familiarity with Xarray, Pandas, or Polars.
• Experience with multi-cloud (GCP, AWS) and Pulumi.

🎁 Benefits & Perks

• 💰 Generous ESOP (Employee Stock Option Plan)
• 🏢 Hybrid work model in Zürich
• 🚀 High-impact role at a fast-growing startup

🚩 Heads Up

• Requires being based in Zürich despite being a global team
• Intense culture emphasizing 'radically transparent feedback' and overperformance expectation