
Barcelona Supercomputing Center Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 36 interview experiences · FREE TO READ
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12 roles · 36 reportsCandidate interview experiences
First-hand accounts from people who interviewed at Barcelona Supercomputing Center.
Research Engineer
The interview process included 4 rounds, with 3 technical interviews and 1 HR interview, all conducted in person and happening on the same morning, which really sped things up. They were very good to me. They covered my travel, accommodation, and lunch expenses.
- English talks
- Academic background
- Specific questions about your experience with RTOS
Executive Assistant
It starts with a 30-minute chat with external HR, then a more in-depth one with the internal team. Following that, there are tests for English, psychometric, Excel, and writing an email in English. The final step is with the person you'll be supporting, to nail down the day-to-day tasks. All in all, it's a really thorough process that gives a good sense of the candidate's profile.
- How do you manage a schedule and what would you do if something unexpected happens?
Postdoctoral Fellow
This interview was quite pleasant. It began with a brief overview of the position. Then, I presented my CV and explained my motivations, which lasted about 10 minutes. Following that, there was a 15-minute discussion that I found very helpful.
- Are you familiar with R programming?
MLOps Engineer
First a screening round that lasts an hour, then a technical interview for an hour, and finally an HR interview for 30 minutes. The initial screening is all about your recent work experience and if you're a good fit for the role. The technical part dives into your general AI/ML knowledge and operational best practices. The last HR chat is to talk about the specifics of your current employment like salary, if you can relocate, and so on.
- Can you tell me about your past projects, what you did, and the solutions you implemented?
- Explain fundamental Machine Learning concepts like bias, variance, overfitting, and model deployment.
- Describe high-level architectures and approaches for handling large datasets and optimizing inference performance.
Barcelona Supercomputing Center Interview Questions
Quoted word for word from Barcelona Supercomputing Center interview reports.
“Describe high-level architectures and approaches for handling large datasets and optimizing inference performance.”
Read reports →“Explain fundamental Machine Learning concepts like bias, variance, overfitting, and model deployment.”
Read reports →“How do you go about verifying the performance of deployed models?”
Read reports →“Could you tell me about parallel programming?”
Read reports →“Can you tell me about your PhD research and MPI collectives?”
Read report →“Do you want to go to "xyz" place for training?”
Read report →“Were there any HPC and Linux related questions?”
Read report →“Are you familiar with R programming?”
Read report →“Which programming languages do you know?”
Read report →Formats, difficulty and experience
Across all 36 Barcelona Supercomputing Center interview reports.