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mimi

Software Engineer | 80

ETH juniors

Zürich · Hybrid Yesterday

About the role

Would you like to model the real world?
Imagine building a system that simulates the Earth with unprecedented speed and accuracy – powering the future of energy, robotics, and superintelligence. These models are already running across multiple continents, driving real -world decisions. Now the mission is to scale them globally.
If you want to work on one of the most ambitious engineering challenges of our time – this is your opportunity.

About the job

  • Build and scale backend systems, data pipelines, and cloud infrastructure that power large -scale Earth simulations – fast, reliable, and production -ready.
  • Work closely with ML engineers to deploy models into real -world applications, while shaping architecture, improving performance, and iterating rapidly on new ideas.

Requirements

  • Bachelor’s degree (or higher) in Computer Science or a related field.
  • Strong experience in building and operating large -scale production systems. Strong analytical and problem -solving skills.
  • 3+ years of experience in software engineering, ideally with exposure to backend systems, data engineering, or distributed systems.
  • You make pragmatic decisions, move fast, and take ownership – balancing speed with long -term system quality.
  • Experience with databases (e.g., ClickHouse, PostgreSQL), data pipelines, or infrastructure -as -code (e.g., Terraform) is a plus.

Benefits

  • Start: ASAP
  • Duration: Permanent
  • Workload: 80–100%
  • Location: Zurich, Switzerland (hybrid/remote)
  • Salary

Requirements

  • Strong experience in building and operating large-scale production systems.
  • Strong analytical and problem-solving skills.
  • You make pragmatic decisions, move fast, and take ownership – balancing speed with long-term system quality.

Responsibilities

  • Build and scale backend systems, data pipelines, and cloud infrastructure that power large-scale Earth simulations – fast, reliable, and production-ready.
  • Work closely with ML engineers to deploy models into real-world applications, while shaping architecture, improving performance, and iterating rapidly on new ideas.

Skills

ClickHousePostgreSQLTerraform

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