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People Operations Intern

Etched· People
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San JoseInternPosted 4w ago

About the role

Internship focused on supporting People Operations and Legal with audits, compliance, employee operations, contracts, and company projects. Based in San Jose, on-site, 12-week paid program with mentorship and relocation housing support.

Responsibilities

  • Run People and Legal internal audits, including employment agreements, I-9s, policies, and employee records
  • Track compliance requirements and prepare filings, reports, and supporting records
  • Review data across Rippling, spreadsheets, and source documents to find and fix gaps
  • Support contracts, signatures, document storage, and other Legal operations
  • Help manage onboarding, offboarding, employee changes, and recruiting handoffs
  • Build clear guides and processes for employees, including travel and office resources
  • Coordinate with People, Legal, Finance, Recruiting, and workplace teams
  • Research employment and business requirements and turn findings into clear next steps
  • Take on time-sensitive projects as the company grows

Qualifications

  • Current undergraduate or recent graduate interested in People Operations, Legal, or business operations
  • Strong attention to detail
  • Clear written and verbal communication
  • Good judgment with sensitive information
  • Able to work through incomplete or conflicting information
  • Comfortable using spreadsheets and learning new systems
  • Organized, reliable, and quick to follow through
  • Willing to ask questions, find answers, and take ownership

Skills

Required:Attention to detailWritten and verbal communicationData analysis

Benefits

  • 12-week paid internship
  • Generous housing support for those relocating
  • Daily lunch and dinner in our office
  • Direct mentorship from industry leaders and world-class engineers
Last updated Oct 8, 2026. Interested? Apply on the company site.
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About Etched

Etched is building frontier inference clusters: co-designs chips, racks, software and manufacturing to push the pareto frontier for AI hardware.

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