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Cerebras interview, with AI expected in the coding round.

Updated · Sources at the end

Cerebras has rebuilt part of its engineering interview around one idea, which it put in a July 2026 blog post: "If AI is part of the work, it should be part of how we evaluate the work." In designated AI-assisted coding rounds, candidates are told ahead of time that AI is allowed and expected. The exercises look like the job: exploring a small repository, adding a feature to an existing service, digging into an operational dataset or turning a vague request into a working prototype. Interviewers score how you frame the problem, give the tool context, check what it produces, test the edge cases and keep ownership of the result. Once a first version works, the conversation moves to load, security and what would have to change before it ships.

Candidate reports from 2025 and 2026 show the older shape too, and you should prepare for both. New grads describe three one-hour coding rounds on HackerRank plus a behavioural round, with C++ and parallel computing in the problems. Cerebras builds the WSE-3, a single chip the size of a silicon wafer with 4 trillion transistors and 900,000 cores, and sells its speed through an inference cloud. It listed on Nasdaq as CBRS on 14 May 2026 after pricing its IPO at $185 a share.

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The questions for your exact Cerebras role and level.

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Interviewing at Cerebras? Below are the questions candidates report. For the ones your exact role and level will get, paste the posting. Your first mock is free.

01

Who Cerebras hires

Cerebras hires software engineers across the stack that runs its chip: kernels, runtime, compilers, ML frameworks, the inference platform and API, cluster operations, reliability and security, alongside hardware, ASIC and data center engineers. Of the 117 roles open on 5 October 2026, 67 were in software engineering and 16 in hardware; 81 were based in Sunnyvale, 17 open across the United States and Canada, 7 in Toronto and 6 in Bengaluru. New grad ads ask for C or C++ and an interest in systems, networking or low-level work, and the Toronto ad says candidates focused mainly on application development or AI applications may be less aligned with the work. Interns join teams such as Runtime, Compiler, Applied ML, ML Framework and AI Cloud for 12 weeks to 18 months. The company had 708 employees in 2025, according to its IPO filing.

02

What is the Cerebras interview process?

Cerebras does not publish a round-by-round loop for full-time roles. The intern page gives the shape for students, the July 2026 blog describes the AI-assisted rounds, and the rest comes from candidate reports, marked as reported. Glassdoor puts the average process at 21 days across 42 interviews.

01
Recruiter call
A short call with a recruiter

Reported by Toronto software candidates as an exploratory conversation: your background, which team fits, and why Cerebras. Know what the wafer-scale chip and the inference cloud are before the call.

02
Technical screen
Reported as 45 to 60 minutes, live

Candidates for kernel, hardware and reliability roles report a first round of 45 or 60 minutes. One candidate was told to expect LeetCode-style data structures and algorithms questions. A commenter on r/leetcode advised brushing up on concurrency, memory management and ML systems basics.

03
AI-assisted coding round
A realistic multi-step exercise with an AI tool, announced in advance

A small repository, an existing service, a dataset or a vague request, worked with AI. It starts with a concrete goal, then opens up: what would you improve, which assumptions would you revisit, what has to change before production. The section below goes through it.

Designated rounds, per Cerebras
04
Coding and deep-dive rounds
Reported as about three rounds of an hour each

A new grad offer in August 2026 came after three coding rounds on HackerRank: vector multiplication optimised for a parallel architecture and sparse data, a message queue extended with union-find, and binary search written from scratch in C++. Experienced candidates report deep dives into their past work.

05
Behavioural round
About an hour, reported

How you learn in an area with little documentation, and how you handle a serious disagreement with a manager. Cerebras says system design and behavioural rounds still cover leadership, collaboration, ownership and depth.

06
Intern interviews
1 to 3 sessions of 30 to 60 minutes

Technical and live-coding assessments with behavioural questions, per Cerebras' intern page. Two to four weeks from application to offer, with hiring in September, January and May.

Interns
03

Cerebras AI-assisted coding round: what is graded

From Cerebras' own blog, July 2026

Cerebras' engineering leaders described the round in a blog post on 9 July 2026. You are told in advance that AI is allowed and expected, so nobody is guessing. The task has several steps and enough ambiguity to need judgement, and it is built so that pasting the prompt into a tool will not finish it. Cerebras scores how you work with a powerful but imperfect assistant, whatever tool or prompting style you prefer, and it expects more from senior candidates on framing, trade-offs and long-term system behaviour.

  • Understand the problem before you delegate: The blog's first signal is whether you understand the problem before handing parts of it to the tool. Spend the first minutes reading the code or data, restating the goal and saying your plan out loud.
  • Give the tool context and constraints: Interviewers watch how you frame each request. Tell the assistant which files matter, what must not change and how you will judge the result, and break the work into steps you can check one at a time.
  • Check everything it writes: Cerebras calls verification one of the strongest signals. Run the code early, read the error messages, look at the data before choosing a representation, and ask whether the generated tests are meaningful. Watch for changed interfaces, ignored constraints, happy-path-only code and needless complexity.
  • Catch the polished mistake: The blog says a candidate who catches and fixes a convincing-looking error gives a stronger signal than one who produces lots of code they cannot explain. When you find one, say what was wrong and why.
  • Be ready for the open-ended second half: A working first version is where the harder questions start: is this the right user problem, what should be tested first, how does it behave under load, where are the security or privacy risks, what would help the next engineer.
  • Own the result: You should be able to explain, change and debug every line, including the lines the tool wrote. Fundamentals still matter, Cerebras says, because they are what let you judge a generated answer.

Not every Cerebras loop has this round yet: the blog says teams are redesigning parts of the process, and 2026 new grad reports still describe HackerRank coding without AI. Ask your recruiter which rounds allow it. Calibrd's mock interview can rehearse the spoken part: explaining how you framed the task, what you checked and why you trust the result.

04

What Cerebras screens for

Cerebras' blog, careers page and job ads describe what it looks for alongside the technical bar.

  • Using AI to move faster while keeping a clear model of the system yourself
  • Checking generated code: running it early, reading errors, testing the edge cases
  • Owning the result, including the parts the tool wrote
  • Comfort close to hardware: C++, parallelism, memory and performance
  • Integrity, curiosity and a drive to solve hard problems, in the company's own list
05

Cerebras interview questions

Candidate-reported themes

The coding questions below are reported by candidates from 2025 and 2026, mostly new grad and systems roles. The AI-assisted practice is built from what Cerebras' own blog says the round grades.

Behavioural & motivation

  • Why Cerebras, and why work this close to the hardware?Listening for: Specificity · Connection · Research
  • How do you use AI coding tools in your own work, and when do you stop trusting them?Listening for: Concrete uses · Where they push back · Owning the result
  • Tell me about a time you had to learn a technical area that had almost no documentation.Listening for: The gap · How they learned · What it produced
  • Describe a serious disagreement with a manager or senior engineer. What did you do?Listening for: Engagement · Professionalism · Resolution

Technical

  • Practice: write a dot product of two long vectors. Then make it fast on a machine with many small cores, and then handle vectors that are 95% zeros. Talk through each step.Parallel and sparse computation: Reported in a new grad onsite, August 2026: vector multiplication optimised for a parallel architecture and sparse linear algebraListening for: Splitting the work · Sparse format · Memory and balance
  • Practice: you run a message queue where channels can be merged at any time. Design how you track which merged channel each message belongs to, and give the cost of a merge and a lookup.Data structure design: Reported in a new grad onsite, August 2026: extending a message queue, using union-find to tell which channel a message belongs toListening for: Union-find · Complexity · Edge cases
  • Practice: write binary search in C++ that returns the first index whose value is at least the target. Then say which bugs you are guarding against.C++ from scratch: Reported in a new grad onsite, August 2026: binary search implemented from scratch in C++Listening for: Correct bounds · Tests it · Explains choices
  • Practice: two threads write results into a shared buffer that a third thread drains. Show how you keep it correct, then how you would make it faster.Concurrency and memory: Advice in an r/leetcode thread for a Cerebras kernel reliability screen, about May 2026Listening for: Correctness first · Making it fast · Finding the bugs
  • Practice: with an AI coding assistant, add rate limiting per API key to a small inference service you have never seen. Talk through how you read the code, what you ask the tool for, and how you prove the change works.AI-assisted repository task: From Cerebras' July 2026 blog: explore a small repository or add a capability to an existing service, with AI expectedListening for: Understands first · Checks the output · Beyond the prototype

These are the reported themes, and your loop is role-specific. Paste the actual posting and Calibrd predicts the questions for that exact role and level.

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06

Pay

New grad, CoDesign and NextGen, Sunnyvale$145K to $155K base, plus equity
System software engineer, embedded, Sunnyvale$175K to $230K base
Design verification engineer, Sunnyvale$190K to $230K base
Senior staff AI accelerator performance architect, Sunnyvale$175K to $275K base
Software engineer, all levels, US (Levels.fyi)$194K to $290K+ total pay, reported

Base salaries posted in Cerebras job ads on its Ashby board on 5 October 2026; the ads say pay may also include bonus and equity. Most software and inference roles post no range. The last row is the range Levels.fyi shows from 92 self-reported software engineer salaries, with equity vesting over four years.

07

How to prepare for a Cerebras interview

  1. Ask the recruiter which of your rounds allow AI, and set up the assistant you know best before any round that does.
  2. Rehearse a repository task with an AI tool while narrating: what you read first, what you asked for, and how you checked each answer.
  3. Practise C++ from scratch, including binary search and a small data structure, without library help.
  4. Review concurrency and memory: locks, condition variables, races, and how memory access shapes performance.
  5. Learn the basics of how Cerebras differs from GPUs: one wafer-sized chip, many cores and memory on the chip.
  6. Prepare a story about learning a poorly documented area, and one about disagreeing with someone senior.

This guide covers Cerebras' software engineering hiring, from interns and new grads to senior and ML systems roles, mainly in Sunnyvale and Toronto. For management and leadership roles the loop is similar but the bar shifts to people, delivery and strategy, so pair it with the leadership interview prep hub. The bar for your exact role comes from the role-by-role guides, and the prep that actually transfers is spoken, so run a mock interview before the real one.

Also interviewing at TSMC, BAE Systems or Airbus? Their guides follow the same format, from the first screen to the offer.

Knowing the questions isn’t the same as answering them out loud. Run a Cerebras mock: spoken answers, coached on the spot. Your first mock is free.

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08

FAQ & sources

What is Cerebras' interview process?

Cerebras does not publish a round-by-round loop for full-time roles. The stages, in order: Recruiter call; Technical screen; AI-assisted coding round; Coding and deep-dive rounds; Behavioural round; Intern interviews.

What does Cerebras look for in candidates?

Cerebras' blog, careers page and job ads describe what it looks for alongside the technical bar. Using AI to move faster while keeping a clear model of the system yourself; Checking generated code; Owning the result, including the parts the tool wrote; Comfort close to hardware.

What questions does Cerebras ask in interviews?

The coding questions below are reported by candidates from 2025 and 2026, mostly new grad and systems roles. Technical themes: Parallel and sparse computation; Data structure design; C++ from scratch; Concurrency and memory; AI-assisted repository task.

How does the Cerebras AI-assisted coding interview work?

Cerebras' engineering leaders described the round in a blog post on 9 July 2026. You are told in advance that AI is allowed and expected, so nobody is guessing. Covered on this page: Understand the problem before you delegate; Give the tool context and constraints; Check everything it writes; Catch the polished mistake; Be ready for the open-ended second half; Own the result.

How do I prepare for a Cerebras interview?

Ask the recruiter which of your rounds allow AI, and set up the assistant you know best before any round that does. Rehearse a repository task with an AI tool while narrating: what you read first, what you asked for, and how you checked each answer.

Interview processes change. This reflects widely-reported and sourced conditions as of 2026 — confirm specifics with your recruiter, and treat it as a map rather than a guarantee.

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Cerebras Interview: AI-Assisted Coding Round, Pay — Calibrd