Distributed Systems Research Engineer, AI Life Simulations

Google Inc.

Zürich

Vor Ort

CHF 120.000 - 170.000

Vollzeit

Vor 3 Tagen
Sei unter den ersten Bewerbenden
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Zusammenfassung

Google’s Research team seeks a Research Software Engineer to advance distributed systems within the Pi project. You will design and implement scalable infrastructure for large-scale artificial-life simulations and frontier machine learning research.

You will collaborate across disciplines, manage vast computational workloads, and contribute to open research goals while ensuring reliability and performance across complex environments.

Qualifikationen

  • Bachelor's degree or equivalent in computer science or a related technical field.
  • 2 years of software development experience focused on distributed computing.
  • Experience scaling from single-CPU to distributed environments.

Aufgaben

  • Build large-scale simulations and manage distributed computing infrastructure to scale digital ecosystems and experiments.
  • Create modular infrastructure capable of running experiments with trillions of generated programs and complex interactions.
  • Optimize compute usage and efficiently manage significant CPU resource requirements across shared infrastructure.
  • Implement efficient scheduling, resolve job failures, and ensure that massive-scale runs execute reliably.
  • Provide dedicated engineering support to accelerate data analysis and the launching of new experiments.

Kenntnisse

Distributed computing
Systems scaling
Resource management

Ausbildung

Bachelor's degree in Computer Science
Master's degree or PhD in Computer Science

Jobbeschreibung

Google’s Research team seeks a Research Software Engineer to advance distributed systems within the Pi project. You will design and implement scalable infrastructure for large-scale artificial-life simulations and frontier machine learning research.

You will collaborate across disciplines, manage vast computational workloads, and contribute to open research goals while ensuring reliability and performance across complex environments.

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