Research Software Engineer, Distributed Systems, Artificial Life, Pi

• 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.

Minimum qualifications:

• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
• 2 years of experience in software development, with a focus on distributed computing and parallelizable infrastructure.
• Experience scaling systems from single-CPU runs to distributed environments.
• Experience with infrastructure optimization and resource management.

Preferred qualifications:

• Master's degree or PhD in Computer Science, Artificial Intelligence, or a related field.
• Experience with evolutionary algorithms, machine learning research, or artificial life simulations.
• Experience building infrastructure that interfaces with real-world programming benchmarks (e.g., LeetCode, code golf).
• Demonstrated ability to handle the increased complexity and geographical segregation of populations within digital ecosystems.

• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
• 2 years of experience in software development, with a focus on distributed computing and parallelizable infrastructure.
• Experience scaling systems from single-CPU runs to distributed environments.
• Experience with infrastructure optimization and resource management.