ML & Cloud Infrastructure Engineer Intern

South San Francisco. Posted 3 months ago

The role

You will build and operate training, data, or evaluation infrastructure. You will work with GPU clusters, orchestration, and data pipelines at scale.

What you will do

Build and operate training, data, or evaluation infrastructure used daily by the wider SW team
Work with GPU clusters, orchestration, and data pipelines at scale
Instrument, monitor, and harden the pipeline you ship
Test your work on real robots at the office

Required qualifications

Pursuing BS/MS/PhD in CS or related field
Strong Python
Familiarity with cloud services (AWS/GCP), containers, and CI/CD
Evidence of building infrastructure or data systems
Should be comfortable taking ownership of tasks with light supervision
Must have excellent problem-solving skills
Legally authorized to do an internship in the United States

Nice to have

Kubernetes
Ray
Spark
Terraform
observability stacks
ML experiment tooling

Benefits

competitive salaries
opportunity to work on a mission with tremendous climate impact
Opportunity to publish (for PhD interns)
Attend Tier-1 industry conferences

Before you apply

Legally authorized to do an internship in the United States for either 3 months or 6 months

About the company

Gritt is an intelligent system that combines robotics and AI to build infrastructure. The founding team includes experts in robotics and AI from Carnegie Mellon, Stanford, and MIT.