Gritt AI
Posted 71 days agoVerified live 2d ago
ML & Cloud Infrastructure Engineer Intern
Brief overview
South San Francisco, CAIn-person
UndergradOr in progress
PythonAWSGCPContainersCI/CDInfrastructure buildingData systemsKubernetesRaySparkTerraformML experiment toolingTask ownership
About the company
Gritt AIgritt.ai
Gritt attaches to common equipment found on construction sites and performs labor-intensive tasks, including pick-and-place, assembly, and transport.
Job description
Summary
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.
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
- 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
Skills
- 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
Qualifications
Must Haves
- 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 Haves
- 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
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