Company deep dives

Cerebras interviews

AI-assisted engineering interviews

How the loop runs

“A candidate might explore a small repository, add a capability to an existing service, investigate an operational dataset, improve a developer tool, or turn an incomplete request into a working prototype.”

Sebastian Duerr and Hagay LupeskoCerebras blog authors (Member of Technical Staff; SVP of Engineering)

Cerebras · 2026-07-09

Realistic exercises

Practise a review round: approve or block an AI draft with evidence a teammate can use.

Example

Review and debug code

“Do they inspect generated code rather than trusting it automatically? Can they explain, change, and debug the result?”

Sebastian Duerr and Hagay LupeskoCerebras blog authors (Member of Technical Staff; SVP of Engineering)

Cerebras · 2026-07-09

Inspect the generated code

Practise reading a one-line AI draft and finding the input that breaks it.

Example

What they assess

“The best candidates retain ownership of the solution. They use AI to increase their leverage, not to outsource their judgment.”

Sebastian Duerr and Hagay LupeskoCerebras blog authors (Member of Technical Staff; SVP of Engineering)

Cerebras · 2026-07-09

Keep ownership of the solution

Practise choosing the check that matches the actual failure.

Example

AI while applying and interviewing

“In designated AI-assisted coding rounds, candidates are told in advance that AI is allowed and expected.”

Sebastian Duerr and Hagay LupeskoCerebras blog authors (Member of Technical Staff; SVP of Engineering)

Cerebras · 2026-07-09

Told in advance

Practise reading an interview’s AI rules and saying what each stage allows.

Example

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