ML & Cloud Infrastructure Engineer Intern

Gritt Robotics Inc; South San Francisco (CA); On-site; USD 50,220 - 72,540; Full time

Job summary

Gritt Robotics Inc. is seeking an ML & Cloud Infrastructure Engineer Intern in the SF Bay Area, in-person. This internship runs 3 or 6 months, with a dedicated mentor and deliverable you own end-to-end, and you’ll demo your work to the team.

You’ll build and operate training, data, or evaluation infrastructure, work with GPU clusters and data pipelines, test on real robots in the office, and have a chance to publish as a PhD intern; opportunities to attend Tier‑1 industry conferences.

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.
• Comfortable taking ownership of tasks with light supervision.
• 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

BS/MS/PhD in CS or related field

Tools

Kubernetes

Ray

Spark

Terraform

Observability stacks

ML experiment tooling

Job description

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 internship will last either 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.
• Comfortable taking ownership of tasks with light supervision.
• 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.