Software Development Engineer Intern

This position is in partnership with the ESTIA School, located in Bidart. Only applicants from this institution will be reviewed and considered for the position. 

Complete an internship project at SOPHiA GENETICS whose mission is to build the future of AI-assisted medicine, joining the Genomic Workflow Enhancement as a Software Development Engineer Intern. 

Your mission: 

Help us make the most of our distributed system’s resources by working closely with our "executor" component. The executor is a key part of our system, turning data scientists' code (called "pipelines") into tasks that run smoothly across many machines. As an intern, you’ll help build machine learning models to smartly allocate resources, improve system performance, and lower costs. 

This project could make a big difference! By improving how we allocate resources, we aim to speed up pipeline execution and lower infrastructure costs, creating a more efficient and affordable system for managing large data pipelines.

You’ll be involved in:

• Resource analysis: checking how resources are currently used in our system, with a focus on the executor component.
• Machine learning integration: helping develop and use machine learning models to make task scheduling and resource use more efficient.
• Metrics integration: adding new metrics, like CPU and disk usage, to improve how we manage resources.
• Cost and performance optimization: adjusting our models to help tasks finish faster and lower costs.

• Experience in working with Python.

• Familiarity with data analysis and interpretation. 

• Familiarity with basic machine learning techniques and workflow.
• Strong communication skills in English, both written and verbal. 
• Ability to work effectively in a collaborative team environment while being autonomous in task management. 
• Motivation to learn and continuously improve. 
• Strong problem-solving mindset and adaptability to complex, real-world challenges.