What are the responsibilities and job description for the Software Engineer, ML Infrastructure - Winter Internship 2025/2026 position at Nuro?
Who We Are
Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale—empowering a safer, richer, and more connected future.
About The Role
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
Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale—empowering a safer, richer, and more connected future.
About The Role
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.
- 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.