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xAI interview notes, page 6 of 9

Mid-sized

Most of these xAI write-ups come from Software Engineers (74), then Machine Learning Engineers (11) and Backend Engineers (1). The most reported rounds are the technical phone screen (52), the system design round (12), the behavioral / leadership round (6) and the onsite coding round (4).

86 interview notes · updated Jul 2026

xAI·Software Engineer·Technical Phone Screen

Jun 2026
Interviewed for a software engineer role at xAI and got hit with an LFU cache design question. The problem itself is pretty classic but the O(1) constraint is what separates people who've seen it from people who haven't.
  • Design and implement an LFU (least frequently used) cache class supporting get and put operations, both in O(1) time. On eviction, remove the least frequently used key, breaking ties by recency.

“I knew LRU cold but LFU tripped me up for a minute because the tie-breaking rule means you need to track both frequency AND insertion/access order within each frequency bucket.”

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xAI·Software Engineer·Technical Phone Screen

Jun 2026
Got a coding question at xAI for a software engineer role that looked deceptively straightforward until the nested transaction part hit. The constraints basically ruled out the naive copy-on-begin approach, so you had to actually think through the data structure.
  • Build an in-memory key-value store that supports SET, GET, and DELETE commands, plus nested transactions with BEGIN, ROLLBACK, and COMMIT. ROLLBACK should only undo the most recent open transaction block, and COMMIT applies everything permanently. The catch: copying the whole database on every BEGIN is explicitly not allowed.

“The basic SET/GET/DELETE part took me about two minutes.”

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xAI·Software Engineer·Technical Phone Screen

Jun 2026
Coding screen for a Data Engineer role at xAI. Two Python problems, both string manipulation flavored. Nothing crazy but the second one had a subtle ordering requirement that I almost missed.
  • Write a function that counts how many times a given character appears in a string, with case-sensitive matching.
  • Write a function that takes two strings, splits them into words by spaces, and returns the words unique to each string in their original order, with words from the first string's unique set coming before the second string's.

“Pretty straightforward.”

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xAI·Software Engineer·Technical Phone Screen

Jun 2026
Short resume screen at xAI, maybe 15 minutes, pretty much just walked through recent projects and answered follow-up questions on the spot. Nothing crazy but it moves fast.
  • Walk me through your most recent or most relevant resume entries: what the project was, what you specifically did, the key technical decisions you made, and what the impact was.

“The rapid follow-ups are what get you.”

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xAI·Machine Learning Engineer·Technical Phone Screen

Jun 2026
Interviewed for an ML Engineer role at xAI and got a tokenizer implementation problem. The twist was they wanted an efficient solution, not just a brute-force scan, so it turned into more of a data structures problem than a pure NLP one.
  • Implement a greedy longest-match tokenizer: given a fixed vocabulary and an input string, scan left to right and at each position emit the longest vocabulary token that matches, falling back to a single character if nothing matches. The solution needs to be efficient for inputs up to a million characters.

“My first instinct was to just check every vocab token at every position, which is obviously O(n * vocab_size) and they basically said as much before I finished explaining it.”

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xAI·Software Engineer·Technical Phone Screen

Jun 2026
Got a coding question at xAI for a software engineer role that was basically an LRU cache but with a twist on how capacity works. Not the hardest interview I've done but the variant caught me off guard for a second.
  • Design a weighted LRU cache where capacity is measured by the total sum of item quantities rather than item count, and implement get and put operations both in O(1) average time.

“Classic LRU with a twist: instead of counting slots, you're tracking total weight and evicting until you're back under budget.”

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xAI·Software Engineer·Onsite - Behavioral / Leadership

Jun 2026
Behavioral round for a software engineer role at Xai. Pretty standard culture-fit stuff, nothing that required deep technical prep, but I probably undersold myself on the teamwork question.
  • Why are you interested in this company and this role specifically?
  • Tell me about a time you worked closely with a team. What was your role, how did you collaborate, and what was the outcome?

“I had an answer but it felt a bit rehearsed coming out.”

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xAI·Software Engineer·Technical Phone Screen

Jun 2026
xAI SWE interview dropped me into a large, half-finished LLM/agentic codebase and told me to figure out what a missing function was supposed to do and then implement it. No test cases, no input/output specs, just code reading and reasoning. Unusual format compared to anything I'd done before.
  • Given a large, partially implemented LLM/agentic codebase with no test cases or explicit specs, identify what a missing function is supposed to do by reading the surrounding code and then implement it correctly.

“This was not what I expected.”

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xAI·Software Engineer·Onsite - Behavioral / Leadership

Jun 2026
Interviewed at xAI, one question deep into what felt like a behavioral round but with real technical teeth. The question was straightforward on the surface but the follow-up pressure is where things get interesting.
  • Walk me through the most challenging project you've worked on. What made it hard (technical complexity, unclear requirements, scope, team dynamics)? What was your role, the key calls you made, and how did it turn out?

“I picked a project that was genuinely messy and I think that was the right move, but I fumbled the structure a bit.”

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xAI·Software Engineer·Technical Phone Screen

Jun 2026
xAI software engineer interview, got a meaty parallel sorting problem that went deeper than I expected. not a bad experience but there's a lot to know here and I definitely didn't cover everything cleanly.
  • Sort a large integer array using multiple threads. Walk through your parallel sort design, including how you'd choose thread pool size, when to fall back to sequential sort, how merging works across threads, and how you'd verify the result is correct.

“I went straight to parallel merge sort, split the array into chunks and assign each chunk to a thread, merge at the end.”

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