Software Engineer Intern - AI Infrastructure & Distributed Systems

datologyai; San Mateo; On-site; PHP 2,093,000 - 3,139,000; Full time

Benefits offered by this job

Health benefits

401(k) plan with company match

Unlimited PTO

Paid Parental Leave

Wellness stipend

Learning and development stipend

Daily lunches in office

Relocation assistance

Job summary

DatologyAI is seeking a Software Engineer Intern to join our Infrastructure team for Winter 2027, located in San Mateo. You will work with experienced engineers to design and build systems powering large-scale data curation and model training.

You'll learn how cutting-edge AI infrastructure is built for distributed systems, multi-cloud environments, and high-performance compute platforms, while delivering impactful projects that feed production systems.

Qualifications

• Pursuing a BS, MS, or PhD in CS, EE, or related field.
• Strong programming skills in Python, Go, or C++.
• Familiar with Linux systems, Docker, Kubernetes, or similar technologies.
• Curious about cloud computing (AWS, Azure, or GCP) and large-scale distributed systems.

Responsibilities

• Build and improve internal tools that accelerate developer productivity and system reliability.
• Design and prototype components of DatologyAI’s distributed training and data infrastructure.
• Contribute to automation, deployment, and observability systems across multi-cloud and on-prem environments.
• Collaborate with engineers and researchers to bring new ML infrastructure capabilities to production.
• Participate in code reviews, technical discussions, and learn best practices for scalable infrastructure development.

Skills

Python

Go

C++

Linux

Cloud computing

Distributed systems

Collaboration

Education

BS/MS/PhD in CS/EE or related field

Tools

Docker

Kubernetes

Job description

DatologyAI is seeking a Software Engineer Intern to join our Infrastructure team for Winter 2027, located in San Mateo. You will work with experienced engineers to design and build systems powering large-scale data curation and model training.

You'll learn how cutting-edge AI infrastructure is built for distributed systems, multi-cloud environments, and high-performance compute platforms, while delivering impactful projects that feed production systems.