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ML & Cloud Infrastructure Engineer Intern

Gritt Robotics Inc · On-site

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Last seen by MeritLog September 9, 2026Source: AshbySource version: ashby-public-job-posting-v1

MeritLog read this listing from Gritt Robotics Inc's Ashby job board and last checked it on September 9, 2026.

Source: the employer's Ashby job board. Open the original listing for current details.

Job details

Work model: On-site
Salary: Not listed by source
Location: South San Francisco
Company website: www.gritt.ai

Hiring context

How this role compares at Gritt Robotics Inc

Gritt Robotics Inc has 23 live roles in MeritLog’s catalog across 4 job families, and 5 of them are in data & analytics. 0 of those listings publish a pay range, a disclosure rate of 0%.

Gritt Robotics Inc concentrates this hiring in:

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

What the role asks for

What they're asking for

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

Parsed by MeritLog from the employer’s own posting. The full description follows below.

Job description

Gritt https://www.gritt.ai/ 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 https://www.gritt.ai/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.

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