About the role#
This internship focuses on the intersection of platform engineering, cloud infrastructure, security, and AI systems. You will work directly with experienced infrastructure engineers on projects supporting Meshy’s AI platform and GPU-based workloads. This is a hands-on engineering role where you will contribute to production-impacting initiatives across cloud platforms, developer tooling, observability, and automation.
What you'll do#
- Rebuild and improve staging environments in non-production infrastructure using Terraform and cloud-native tooling.
- Contribute to internal infrastructure platform initiatives focused on reliability, automation, observability, and developer experience.
- Support Kubernetes- and cloud-based infrastructure used for AI training and inference workloads.
- Build internal tooling and automation to improve engineering productivity and operational efficiency.
- Collaborate with infrastructure, research, and product engineering teams on high-priority platform initiatives.
What you'll need#
- Currently pursuing a Bachelor’s, Master’s, or PhD in Computer Science, Computer Engineering, or a related technical field.
- Strong coding skills in Python, Go, or similar backend languages.
- Familiarity with Linux systems and cloud platforms such as AWS, GCP, or Azure.
- Exposure to Kubernetes, Docker, Terraform, or Infrastructure as Code concepts.
- A strong interest in infrastructure engineering, distributed systems, DevOps, SRE, or AI infrastructure.
Location & details#
- Term: Summer 2026.
- Employment Type: Full-time.
- Modality: Remote or Hybrid.
- Location: Bay Area, California, USA.
- Compensation: This is a paid internship.
