Openai Coding & Algorithms Interview Questions
Preparing for OpenAI Coding & Algorithms interview questions requires recognizing that OpenAI blends classic algorithmic rigor with product- and safety-oriented thinking. Interviews test algorithmic problem solving, data structures, time/space trade-offs, clean testable code, and the ability to reason about scaling, failure modes, and abuse vectors for real systems. Expect a multi-stage process—recruiter screen, one or two technical screens (pair coding or timed coding), and a final loop of 4–6 interviews covering coding, system design, deep-dives, and behavioral questions—lasting a few hours over one or two days. For interview preparation, practice medium-to-hard coding problems, timed pair-coding, system design scenarios relevant to model serving and data pipelines, and prepare concise STAR examples that highlight ownership and collaboration. Read OpenAI’s public materials and be ready to discuss trade-offs, testing, and safety considerations. Emphasize clear communication, test coverage, and justifying design choices; interviewers value well-reasoned, production-minded answers over trick solutions. Bring specific examples of shipping code and measurable impact.
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Implement an in-memory SQL-like table
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Implement credit ledger with out-of-order timestamps
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Implement toy-language types and generic substitution
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Simulate turn-based monster team battle
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Implement a memory allocator with malloc/free
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Implement a persistent sharded key-value store
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Implement map serialization and deserialization
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Implement IPv4 iterators and CIDR expansion
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Implement type AST and infer generics
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Implement a Simulated Memory Allocator
Implement a simulated memory allocator that supports allocate(size) and free(ptr) operations analogous to malloc and free. Treat memory as a contiguou...
Implement KV store serialization
Implement serialization and deserialization for an in‑memory key‑value store to and from a contiguous bytes buffer. Keys are UTF‑8 strings; values may...
Design a parser for a hypothetical language
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Implement an expiring GPU-credit manager
Implement an expiring GPU-credit manager for a cloud provider. Each user receives credit grants with an amount and an expiration timestamp. Support: (...
Find earliest supporting version under constraints
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Implement KV store and plan type conversions
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Find earliest supporting dependency version
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Design a persistent key-value store
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Implement node messaging and path discovery
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