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About the Role
Gritt is developing physical AI to automate the construction of large-scale infrastructure. This internship offers a scoped project where you will own a defined deliverable end-to-end, work with a dedicated mentor, and demo your work to the team. Internships are available for 3 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.
Requirements
- 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.
Skills
- Python
- AWS
- GCP
- Containers
- CI/CD
- Kubernetes
- Ray
- Spark
- Terraform
- Observability stacks
- ML experiment tooling
Location
- SF Bay Area
Work Type
- In-person
- Internship
Experience Level
- Intern
Education Level
- BS
- MS
- PhD
Salary/Compensations
- Competitive salaries
Benefits
- Dedicated mentor
- Opportunity to publish (for PhD interns)
- Attend Tier-1 industry conferences
About the Company
- Gritt is developing physical AI to automate the construction of large-scale infrastructure around the globe.
- Gritt’s systems are already deployed commercially in difficult outdoor environments, and are helping to build critical energy infrastructure.
- The founding team comprises experts in robotics and AI from Carnegie Mellon, Stanford and MIT.
- Gritt is a Series A company backed by marquee VCs.
- Opportunity to work on a mission with tremendous climate impact.