Software Engineer, ML Infrastructure - Winter Internship 2025/2026

Key Skills

Analytical and Problem solving, Effective communication skills, Employee life cycle, Infrastructure as code, Machine learning techniques, Management

Job Description

We are looking for an ambitious and talented individual who is keen on applying their skills to real-life AI infrastructural issues. In this role, you will have the opportunity to contribute to the building of a dynamic resource allocation system designed to enhance efficiency and productivity.

This project is key to eliminating resource contention and optimizing our cloud infrastructure costs. The goal here is to ensure development VMs are provisioned and consumed as needed, based on the lifecycle defined by the user.

Beyond system efficiency gains, this project will increase user productivity by eliminating resource access bottlenecks, allowing engineers to instantly provision machines for every task, streamlining workflows, and accelerating project completion.

About the Work

• Develop a system to provide users with GPU VMs for their development environment.
• Create a dynamic VM allocation mechanism integrated into a shared Google Kubernetes Engine (GKE) resource pool.
• Integrate into our in-house ML Scheduler for VM provisioning and lifecycle management.

About You

• Currently pursuing a Bachelor's or Master’s degree in Computer Science or related field and graduating in/before December 2026
• Proficient in Machine Learning concepts and applications.
• Familiarity with Google Kubernetes Engine (GKE) and cloud resource management.
• Outstanding problem-solving abilities coupled with great attention to detail.
• Excellent interpersonal and communication skills.

At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.