Tenstorrent Memory Architecture Intern �
United States·78 interview reviews·Hard difficulty
Memory Architecture Intern � Interview Reviews
78Just one round with 2 LC hards in 45 min. It wasn't too bad at all — if you've done a lot of LC you're gonna be fine. Make sure to check off your approach with the interviewer before you begin implementing.
“Merge Intervals - Merge all overlapping intervals”
CodeSignal online assessment, then one 45-minute interview. Interviewer was friendly and helpful. 2 leetcode questions then 5 minutes for any questions I had. Got my results in a few days.
“LRU Cache - Design a data structure for Least Recently Used cache”
Online assessment was difficult, but the final round technical was just 2 leetcode questions. Studying tagged questions and general leetcode helps a lot. Interviewer was friendly and wanted me to succeed.
“Tell me about a time when you had to work with a difficult team member”
CodeSignal online assessment, then one 45-minute interview. Interviewer was friendly and helpful. 2 leetcode questions then 5 minutes for any questions I had. Got my results in a few days.
“Design Rate Limiter - Implement an API rate limiting system”
About This Role
Frequently Asked Questions
How hard is it to get hired as a Memory Architecture Intern � at Tenstorrent?
The interview difficulty is rated 4/5 by candidates. 60% report a positive experience. Focus on C/C++, Embedded Systems, Algorithms to improve your chances.
How long does the Tenstorrent Memory Architecture Intern � hiring process take?
The process typically takes 2–6 weeks from application to final decision, depending on the hiring cycle and team availability.
What is the interview process like?
Most candidates go through a recruiter screen, followed by technical coding rounds, and a final interview loop. 55% of candidates applied online.
What questions are asked in a Tenstorrent Memory Architecture Intern � interview?
Common topics include data structures & algorithms (arrays, trees, graphs), system design, and behavioral questions using the STAR method. Practice with our AI mock interviewer to prepare.
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