ML & Cloud Infrastructure Engineer Intern

Gritt Robotics is developing physical AI to automate the construction of large-scale infrastructure around the globe. They are seeking an ML & Cloud Infrastructure Engineer Intern to build and operate infrastructure for machine learning and data evaluation, working closely with a dedicated mentor.

What you'll 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
• Opportunity to publish (for PhD interns)
• Attend Tier-1 industry conferences
• An example project could be anything from an auto-curation pipeline that mines fleet logs for rare events (gusts, occlusions, near-misses) to feed training, to a regression harness that replays field scenarios against each new model release

What they're looking for:

• 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 for either 3 months or 6 months
• Kubernetes
• Ray
• Spark
• Terraform
• Observability stacks
• ML experiment tooling

Benefits:

• Competitive salaries
• Work with a dedicated mentor
• Demo your work to the whole team
• Many interns receive return or full-time offers
• Opportunity to publish (for PhD interns)
• Attend Tier-1 industry conferences