Clarify
0–7
Restate the contract, examples, invalid inputs, constraints, and desired complexity.
Evidence: A testable problem statement.
Frontier AI company · Reviewed 2026-08-03
Who this is for
Software engineers preparing for OpenAI technical interviews who want a disciplined independent practice plan connected to current official process sources.
Use the mock interview deliberately
Treat company-specific preparation as a way to prioritize capabilities, not memorize a secret question list. Use the current official process information in the EngMock company guide, then practice transferable coding skills across unfamiliar problems.
During each session, clarify the contract, propose a simple correct approach, implement readable code, test boundary cases, and respond to a follow-up that changes scale, memory, concurrency, or API constraints. Record what evidence changed your approach.
Core capabilities
Move from examples to a precise contract, implement a complete solution, and validate it with targeted tests rather than stopping at pseudocode.
Adapt when a follow-up alters data size, streaming behavior, concurrency, memory, or the interface.
Use clear names, explicit invariants, defensible data structures, and small units that can be reviewed and extended.
Connect local code decisions to latency, reliability, observability, and integration boundaries when the prompt expands.
Timed session
0–7
Restate the contract, examples, invalid inputs, constraints, and desired complexity.
Evidence: A testable problem statement.
7–30
Choose the simplest correct structure and narrate invariants while coding.
Evidence: Runnable, readable code with stated complexity.
30–42
Run normal, boundary, empty, duplicate, and adversarial cases.
Evidence: Tests that target the solution’s actual failure modes.
42–60
Handle a follow-up involving scale, streaming, concurrency, or API design.
Evidence: A controlled revision rather than a complete restart.
Live practice
The scenarios are independent practice. Open the public prompt first, then run it in the matching workspace with voice follow-ups and evidence-based review.
Medium · dsa
Given a string, find the length of the longest contiguous substring in which no character repeats.
Medium · dsa
Given a number of courses and a list of prerequisite pairs, determine a valid order to complete all courses, or report that no valid order exists.
Medium · dsa
Given a number of servers and a sequence of direct connection events between pairs of servers, answer whether two given servers are connected after each event, processing many union and query operations efficiently.
Hard · dsa
Design a structure that supports inserting numbers one at a time from a stream and efficiently reporting the median of all numbers seen so far.
Self-review scorecard
Strong signal: Turns ambiguity into tests and constraints.
Warning signal: Codes against an unstated interpretation.
Strong signal: Produces complete, readable, executable code.
Warning signal: Leaves critical logic as a comment or assumption.
Strong signal: Targets boundaries and invariants with tests.
Warning signal: Uses one happy-path example as proof.
Strong signal: Reuses sound abstractions under follow-up.
Warning signal: Rewrites everything when one constraint changes.
Frequently asked questions
No. EngMock provides independent practice scenarios and clearly separates them from official process sources and candidate-reported patterns.
Prioritize executable correctness, clear reasoning, targeted testing, and the ability to adapt the implementation when a follow-up changes constraints.
Use the linked EngMock OpenAI company guide, which identifies its official sources and the date they were last checked.