HPC Engineer
Posted Oct 2, 2026 · We last checked this listing on Oct 6, 2026
Likely interview questions for this role
Written from this job description, not a generic list. Each one notes what the interviewer is really checking.
About your past
Tell me about a Linux system you troubleshot where the problem wasn't obvious. How did you find the root cause?
What they are checking: Methodical troubleshooting across OS, storage and network layers, which the posting asks for directly.
What interests you about high-performance computing specifically?
What they are checking: Genuine interest in HPC, which the posting lists as a requirement.
What would you do
A researcher says their jobs got much slower this week. Where do you start?
What they are checking: Ability to narrow a vague complaint into a testable problem across compute, storage and network.
You're working with another infrastructure team that owns the network. How do you collaborate when the issue might be theirs?
What they are checking: Collaboration across teams without finger-pointing during an outage.
How would you evaluate a new technology for the research platform before recommending it?
What they are checking: Whether they test new tools against real research needs before recommending them, rather than chasing novelty.
About the work
How would you set up a cluster to share GPU and CPU resources fairly between research teams?
What they are checking: Understanding of scheduling and resource management for diverse compute in HPC.
What have you built with Ansible or Terraform, and how did you keep it maintainable?
What they are checking: Real Infrastructure as Code experience beyond running someone else's playbooks.
When would you run a research workload in AWS, GCP or Azure instead of on-premises?
What they are checking: Judgment about cost, data gravity and burst capacity in hybrid infrastructure.
How do parallel file systems differ from regular network storage, and why do they matter for research?
What they are checking: Knowledge of storage systems that support high-throughput research workloads.
Explain how you would monitor a cluster so you catch problems before researchers do.
What they are checking: Proactive monitoring and alerting habits for critical research systems.
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As published by Optiver.