Microsoft Silicon Interviews: Maia, Cobalt, and Azure Hardware Teams

You see "Microsoft" and "hardware engineer" on the same posting. Is that a chip team, a rack and power team, a board bring-up team, or something closer to a lab? At Microsoft the answer changes a lot from one posting to the next, and the interview you should rehearse changes with it.

This guide uses Microsoft's own announcements and careers guidance, with a few candidate reports clearly marked as anecdotal. The practice prompts are ours, not questions reported from Microsoft. For a wider comparison of three companies, start with our Microsoft, Amazon, and Meta custom silicon guide. This post goes deeper on Microsoft only.

What does Microsoft say about its silicon work?

Microsoft's own feature on its in-house chips describes a "silicon to service" approach: it designs silicon, software, servers, racks, and cooling together. It says that before 2016 most of those layers were bought off the shelf, and that silicon was the last missing piece.

Two chips anchor the story. Cobalt 100 is described as an Arm-based CPU for general-purpose cloud workloads, built with performance per watt in mind. Maia 100 is described as an AI accelerator for training and inference, and the same page says no existing rack fit its server boards, so Microsoft built wider custom racks and a liquid cooling "sidekick" unit beside them.

The January 2026 Maia 200 announcement adds numbers. Microsoft lists TSMC 3nm, 216GB of HBM3e, 272MB of on-chip SRAM, and a 750W thermal design power. It also says AI models ran on the silicon within days of first packaged parts, and that a pre-silicon environment modeling LLM computation and communication patterns helped make that possible. That detail matters for you: it signals that modeling, verification, and bring-up are part of the work, not just RTL. A later Ignite announcement, as summarized by press coverage, describes a Cobalt 200 follow-on, and Microsoft's Ignite 2024 material describes the Azure Boost DPU (a data processing unit that came from Microsoft's Fungible acquisition) and an integrated hardware security module. I only confirmed the DPU details on a news summary of Microsoft's announcement, so check the original before quoting figures.

Is there just one Microsoft silicon team?

Posting text gathered through search summaries of LinkedIn and similar aggregators suggests that Redmond hardware roles sit under an organization called Silicon, Cloud Hardware, and Infrastructure Engineering, with sub-teams for Azure hardware systems, cloud hardware systems, and infrastructure and serviceability. Treat team names as things to confirm, since organization names change. One Cobalt-related posting was described as system validation for Azure hardware, and another role as design, verification, and performance modeling for FPGA IP and custom silicon.

I found no public detail about Surface or other devices hardware interviews in the sources I could read, so I will not guess. If your posting is a devices role, ask the recruiter what the team ships and how the loop differs.

Area	What Microsoft says publicly	What to prepare or ask
Accelerator (Maia)	3nm inference chip, HBM3e plus large on-chip SRAM, Ethernet-based scale-up networking, liquid cooling	Data movement between memory levels, how you would model a workload before RTL exists
CPU (Cobalt)	Arm-based, performance per watt focus, built on a licensed Arm design	CPU basics, cache and memory behavior, how power constrains design
DPU and security	Offloads storage and networking to purpose-built hardware	Interfaces such as Ethernet and PCIe, offload trade-offs
Systems and racks	Custom racks, cooling, and a pre-silicon to datacenter pipeline	Power, thermal, validation, and what breaks at rack scale
Interview format	Virtual, 2 to 4 conversations, up to an hour each, some roles ask for code or work samples	Ask which of those applies to your role

What the careers page says about the process

Microsoft's "How we hire" page describes interviews held by phone or Teams (it also describes the process as entirely virtual). Most loops, it says, involve 2 to 4 conversations with potential teammates and cross-functional colleagues, each up to an hour, and the recruiter shares next steps afterward. Some roles may ask for code, a portfolio, or work samples. It lists respect, integrity, accountability, and a growth mindset as values, and says to bring specific examples from your past work. It also says responsible AI use while preparing is fine, but you should show your own skills in the interview unless outside help is explicitly allowed.

That page is general. It is not a hardware silicon loop description, and the number of rounds for your team may differ.

What candidates report (anecdotal)

Treat this section as weak evidence. A Glassdoor summary of roughly 7 reviews for a Microsoft "Silicon Engineer" role described the difficulty as moderate and the time to hire as about a month. One reviewer described a first conversation that was mostly behavioral with some RTL and object-oriented coding, then a longer final stage with several engineers and a manager covering design and verification with SystemVerilog. Another described technical rounds on digital concepts, Verilog, and Python, plus a walkthrough of a past project. A summary of about 56 "Hardware Engineer" reviews described a similar difficulty level, and one account suggested questions leaning toward infrastructure and hands-on topics.

The samples are small, self-selected, and some are old. They may describe a different team than yours. A Levels.fyi guide on Microsoft hiring describes a recruiter screen, a phone interview, and an onsite of several back-to-back one-hour interviews, but it covers software roles and says nothing about hardware. I could not see hardware pay data there, so check Levels.fyi yourself and treat any figure as self-reported. Posted pay ranges on job listings vary by level and location, so read the posting for your own role.

How to prepare

Pick the product your team supports and learn its public specs well enough to ask good questions. Practice explaining one design decision from your own work: the requirement, the options, the evidence, the result. Our system design guide for hardware engineers helps with the architecture-style conversation, and the pre-silicon vs post-silicon comparison helps you decide where your experience fits.

If the role is verification, brush up with our UVM interview questions. If it touches DFT, see the upcoming DFT questions post. For a comparison across employers, see the planned Amazon Annapurna Labs process guide.

Before the loop, read our guide to what interview questions reveal about a team: who defines the workload, how pre-silicon models are validated, and who owns bring-up. When you are ready to practice out loud, book a mock interview on MockVise.

Sources: Microsoft, Maia 200 announcement, Microsoft News, in-house chips feature, Microsoft Careers, How we hire, InfoQ, Azure Boost DPU, Levels.fyi, Microsoft hiring, Glassdoor Microsoft Silicon Engineer summary (search result). This is general preparation guidance, not an official Microsoft process or a list of reported questions. Candidate reports are anecdotal and may be out of date, and team structures change. Confirm the format and tool rules with your recruiter. MockVise is not affiliated with or endorsed by Microsoft, Glassdoor, Levels.fyi, or InfoQ.

FAQ

Q: What does a Microsoft hardware engineer posting actually mean? It can point to a chip team, a rack and power team, a board bring-up team, or something closer to a lab. Ask the recruiter what the team ships, because the interview to rehearse changes with the role.

Q: What does Microsoft's careers page say about the interview process? It describes interviews by phone or Teams, usually 2 to 4 conversations with teammates and cross-functional colleagues, each up to an hour. Some roles may ask for code, a portfolio, or work samples.

Q: Can I use AI tools while preparing for a Microsoft interview? The careers page says responsible AI use while preparing is fine. You should show your own skills in the interview unless outside help is explicitly allowed.

Q: Is the candidate feedback in this post reliable? Treat it as weak evidence. The Glassdoor summaries are small, self-selected, and sometimes old, and they may describe a different team than yours.