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Browse independent practice aligned to xAI: coding, system design, and project practice. Practice progressive coding, concurrency, distributed systems, GPU-oriented reasoning, inference infrastructure, and system design for software and ML engineering roles.
Use these reports to choose what to rehearse, not to predict a fixed loop. Formats vary by role, team, and date; confirm your current process with the recruiter. Frontier Rehearsal is independent and not company-endorsed.
Practice prompt (not a reported interview question): implement a small infrastructure-flavoured function with clear inputs and outputs, then compare your production-oriented solution with an algorithm-first alternative and justify which constraints matter most.
Open permanent linkAccording to candidate reports, xAI's 45-minute backend tech screen is a coding round that asks for something functional, such as an API endpoint or a data-processing function, with some architecture discussion but not a full system-design round.
Open permanent linkCandidate reports describe an xAI coding round delivered in Python and bash over about 45 minutes, focused on day-to-day engineering tasks rather than LeetCode-style puzzles.
Open permanent linkEvidence reviewed . Reports can become stale.
Every question has a public brief with the task, constraints, and follow-ups. Labels describe interactive practice access.
Reported interview periodN/A
A disagreement about training on customer text.
Practice focusDisagreement, Limits through a written response exercise.
Reported interview periodN/A
Two minutes on why this lab's work fits a project you have done.
Practice focusA concrete project through a written response exercise.
Reported interview periodN/A
What you would cut if the team lost half its people.
Practice focusPriorities, A hard conversation through a written response exercise.
Reported interview periodN/A
Explain one result you trust, what would falsify it, and what was not shown.
Practice focusEvidence, Limits through a written response exercise.