ML & Cloud Infrastructure Engineer Intern

Gritt; South San Francisco (CA); Hybrid; USD 33,000 - 47,000; Full time

Job summary

Gritt seeks an ML & Cloud Infrastructure Engineer Intern to help build training and evaluation infrastructure for robotics systems. You will work with GPU clusters, data pipelines, and deployment tooling while shipping measurable improvements to ML workloads.

This internship offers end-to-end ownership with a dedicated mentor and a chance to demo progress to the team. You will gain experience operating in cloud environments (AWS/GCP), developing containerized pipelines, and contributing to

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 for either 3 months or 6 months.

Responsibilities

• 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.

Skills

Python

Cloud services (AWS/GCP)

Containers

CI/CD

Infrastructure/data systems

Problem-solving

Ownership

Education

Pursuing BS/MS/PhD in CS or related field

Tools

Kubernetes

Terraform

Spark

Ray

Observability stacks

ML experiment tooling

Job description

Gritt is an intelligent system that combines robotics and AI to build the infrastructure that pulls society forward. Gritt deploys via simple attachments to common equipment found on construction sites and autonomously performs labor-intensive tasks, verification, and planning. Gritt systems are already building critical infrastructure in the harshest outdoor environments, starting with large-scale solar. The founding team includes experts in robotics and AI from Carnegie Mellon, Stanford, and MIT. Gritt is backed by Obvious Ventures, Union Square Ventures, First Round Capital, Climactic, Congruent Ventures, and other leading firms.

Role: ML & Cloud Infrastructure Engineer Intern

Location: SF Bay Area (in-person)
About Internships at Gritt
Our internships are scoped projects: you own a defined deliverable end-to-end, work with a dedicated mentor, and demo your work to the whole team. Many interns receive return or full-time offers. This will be an internship for one of two durations: 3 months, or 6 months.
We offer competitive salaries, and the opportunity to work on a mission with tremendous climate impact.
What you'll get to work on

• 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 we look 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.

Nice to have

• Kubernetes, Ray, Spark, Terraform, observability stacks, or ML experiment tooling.