Snowflake

For interns specifically, the University Recruiting FAQ states that technical roles begin with a coding assessment and then move to technical interviews with team members, while non-technical roles use one-on-one or panel interviews with the hiring manager and team. The two-to-four-week loop is short by software-firm standards, so a candidate running multiple internship pipelines is unlikely to face a months-long Snowflake-only stretch; the coding assessment is the gate that decides whether the team interviews happen at all.

Snowflake's internship FAQ sets out two distinct cohort structures by region:

• North America: spring, summer and fall internships with fixed cohort start dates
• EMEA and APAC: year-round internships running 12 to 16 weeks

Across regions the firm hires interns into Engineering, Finance, Human Resources, IT, Marketing, Professional Services and Sales. The firm explicitly notes that "due to employment regulations" it does not post roles labelled as new-grad: graduating candidates should filter open postings by the years-of-experience requirement rather than searching for a graduate scheme. For a candidate in EMEA or APAC the absence of a single seasonal window means listings open as teams need them, which trades a single fixed deadline for more entry points spread across the year.

Its university recruiting page names AI Engineering, AI Research and Open Source Software as the teams it spotlights for interns, signalling that intern work in those areas sits on the platform itself rather than internal tooling. As a pure-play data-and-AI infrastructure firm rather than a broad cloud-portfolio incumbent, the bet a candidate is making here is on the depth of one product surface across many use cases, not the breadth of an AWS- or Microsoft-style spread of business lines.