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AP

Apple

Software Engineering Intern

Cupertino, CA

via InternDB
Match 89%
$52/hrOnsiteMay-Aug 2026

Interview Process

ApplicationRecruiter Screen (Behavioural)Phone (Coding)Final (Coding + Behavioural)Offer

Recruiter Screen (20 min)

20 min
Behavioural
  • Resume walkthrough and why Apple
  • Confirms team area (e.g. iOS, backend services)

Phone Interview (45 min)

45 min
Coding
  • One coding problem, moderate difficulty, in a shared doc
  • Language of your choice, but Swift/C++ background is a plus for some teams

Final (3 x 30 min)

3 x 30 min
Coding + Behavioural
  • Back-to-back virtual rounds with the hiring team
  • One round is usually a deeper design/tradeoffs conversation
  • Expect at least one question about a project on your resume

Comments

  • Teams interview individually at Apple — tailor your resume talking points to the specific group
  • Be precise and concise; Apple interviewers dock points for rambling answers
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NV

Nvidia

Software Engineer Intern

Santa Clara, CA

via InternDB
Match 83%
$48/hrOnsiteMay-Aug 2026

Interview Process

ApplicationPhone (Technical)Team Match (Behavioural)Offer

Phone Interview (60 min)

60 min
Technical
  • Mix of coding (arrays/pointers) and CS fundamentals — OS, memory, concurrency basics
  • Some teams ask a short C++ syntax question

Team Match (30 min)

30 min
Behavioural
  • Call with the specific team (e.g. CUDA, driver, ML infra)
  • Discussion of past projects and relevant coursework

Comments

  • Brush up on C/C++ fundamentals even if you plan to code in Python — teams probe on it
  • Mentioning any GPU/parallel-computing coursework or projects stands out
DB

Databricks

Software Engineer Intern

San Francisco, CA

via InternDB
Match 88%
$9,000/moOnsiteMay-Aug 2026

Interview Process

ApplicationOA (Algorithms)Phone (Coding)Team Match (Behavioural)Offer

Online Assessment (60 min)

60 min
Algorithms
  • Two coding problems, medium difficulty, on Codesignal

Phone Interview (45 min)

45 min
Coding
  • One coding problem, often involving distributed-systems-flavored constraints
  • Follow-up questions on scaling your solution

Team Match (30 min)

30 min
Behavioural
  • Call with a specific team (e.g. Spark core, platform, ML)
  • Project fit discussion

Comments

  • Familiarity with distributed systems concepts (partitioning, consistency) is a strong plus
  • They like candidates who've used Spark or a similar big-data tool, even in coursework
  • $2,800 housing stipend