Gritt

ML & Cloud Infrastructure Engineer Intern

South San Francisco, California, United States · On-site · Internship

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About the role

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  • EmployerGritt
  • LocationSouth San Francisco, California, United States
  • Work styleOn-site
  • Employment typeInternship
  • Employer posted

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.

Show full description

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.

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Software engineer jobs in United States

ROLIVA currently lists 4205 open roles like this in United States.

Employers hiring for this

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Top skills asked for

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Advertised salary for this role here

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  • USD a year, after annualising66,560–350,000 (118 listings, 9 employers)

Entry-level and internship roles in United States

At a glance

  • Work styleOn-site
  • Employment typeInternship
  • SeniorityIntern
  • Employer posted
  • Added to ROLIVA
  • Last checked

Skills in this posting

Skills ROLIVA found in the employer’s own description above. A mention is not a requirement.

Python AWS GCP Kubernetes Terraform Spark

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