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Skild.ai Interview Preparation

Medium-Hard

IT/ Technology · Bengaluru, India

At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.

280+ questions4 rounds5 expert tips51-200 employeeshttp://skild.ai

About Skild.ai

Most AI today exists solely in cyberspace. Physical reality is far more information rich, and automating physical tasks offers immense returns. We are building AI that will interact with and affect change in the real world.

Bengaluru, India

Interview Rounds4

1
Online Assessment60–90 min

2–3 DSA coding problems on HackerRank, CodeSignal, or company platform

2
Technical Interview I45–60 min

Data structures & algorithms — arrays, trees, graphs, dynamic programming

3
Technical Interview II45–60 min

System design or low-level design — scalability, APIs, databases

4
HR / Culture Round30 min

Career goals, teamwork, strengths/weaknesses, role expectations

Practice Questions10

Key Topics

  • Data Structures & Algorithms150q
  • System Design50q
  • Object-Oriented Design40q
  • SQL & Databases25q
  • CS Fundamentals (OS, Networking)25q

Expert Tips

  • Practice LeetCode easy and medium problems before the OA — focus on arrays, strings, trees, and graphs.
  • For system design, use the RESHADED framework: Requirements, Estimation, Storage, High-level design, APIs, Detailed design, Evaluation.
  • Prepare 3–4 STAR stories covering: a challenge you solved, a time you worked in a team, a project you owned end-to-end.
  • After every coding solution, proactively state the time and space complexity — interviewers expect it.
  • Study common CS fundamentals: process vs thread, TCP vs UDP, REST vs GraphQL, SQL indexing, CAP theorem.