Software Engineer, ML Infrastructure - Winter Internship 2025/2026
- 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.
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