AI Chip Interviews: Preparing for Roles at Tenstorrent, Cerebras, and Groq

If you are interested in AI hardware, Tenstorrent, Cerebras, and Groq may be names on your research list. It is easy to group them together and assume that their interviews, engineering cultures, or offers work the same way. Public product information does not support that assumption.

This guide uses the companies as examples of different public approaches to AI computing. The preparation advice is editorial. It does not describe any company's actual interview process, current hiring status, or internal working practices.

Start with the public product

Tenstorrent's website describes AI hardware offerings including accelerator cards and systems, along with software and licensable technology. Cerebras' chip overview describes a wafer scale approach that uses a silicon wafer as a processor. Groq's website describes LPU technology and an inference offering.

Those descriptions help you identify subjects to research. They do not establish which team an opening belongs to, how the advertised technology performs in your workload, or what questions an interviewer will ask. Avoid turning vendor performance claims into interview advice without checking their context.

Clarify the role and process

Ask the recruiter what the position owns and which product or subsystem it supports. A design role, verification role, physical implementation role, and software role need different preparation even if they all support AI computing.

Also ask about the assessment format, expected preparation, and scheduling. Do not assume a company will have fewer rounds, make a faster decision, or give every engineer broader responsibilities because someone calls it a startup. These are details to confirm, not reliable category rules.

Our questions to ask an interviewer can help you prepare follow ups. Keep a record of what the team confirms and what remains unknown.

Build a technical study plan

For a digital hardware opening, useful practice includes pipelining, data movement, arbitration, buffering, and memory organization. Our RTL questions and hardware system design guide offer exercises.

An editorial exercise is to describe a simple compute block and ask what might prevent it from receiving data when needed. State your workload and interface assumptions, then reason about storage, scheduling, and transfer constraints. Do not invent bandwidth or throughput figures just to make the answer look quantitative.

For verification work, build a plan around expected behavior, checks, stimulus, and coverage. Accellera's UVM documentation is a methodology reference if it is relevant to the role. It is not evidence that any of these companies uses UVM in a particular team or interview.

For physical design, review constraints and how implementation choices affect timing, power, and area. Our physical design guide provides practice topics. For software related work, use the company's public documentation to understand how the relevant software interacts with hardware rather than assuming every role requires compiler expertise.

Prepare stories about decisions

Choose examples where you clarified a requirement, investigated a failure, or made a tradeoff. Explain what you knew, what was uncertain, and what evidence led you to the next step.

These are useful preparation exercises regardless of employer size. They are not proof that founders or interviewers at a named company prefer a particular personality. Our STAR guide can help structure the explanation.

Keep current and former employer confidential information out of your examples. You can explain your reasoning without disclosing proprietary designs or customer details.

Evaluate the opportunity too

Ask about the work you would own, dependencies on other teams, how priorities are set, and what useful progress would look like after joining. For business context, ask which public information the company recommends reading and which milestones can be discussed.

An answer can inform your decision without eliminating uncertainty. A funding announcement or product launch does not guarantee job security. Likewise, do not assume an offer contains more equity or less cash because of the company's category.

Use the written terms to identify the award type, vesting and settlement conditions, and any limitations on selling or exercising equity. Our RSU and bonus guide and offer checklist help organize those questions.

Keep preparation focused

Read the relevant public product material, confirm the assessment, and work through a few role appropriate exercises. Prepare project stories and practice explaining the assumptions aloud. A mock interview on MockVise can help with that rehearsal.

Sources

• Tenstorrent, public AI hardware and software descriptions.
• Cerebras chip overview, wafer scale processor approach.
• Groq, public LPU and inference descriptions.
• Accellera UVM documentation, verification methodology only.

Confirm current company information and role details directly. MockVise is not affiliated with or endorsed by the named companies.