Technical practice
Optimizing GPU-Accelerated Workloads in Kubernetes
What to coverDiscuss your approach to performance tuning GPU-accelerated systems within a Kubernetes environment. Focus on how you manage resource requests/limits, utilize NVIDIA GPU Operators, and identify bottlenecks in high-throughput AI workloads.
Troubleshooting High-Speed Interconnect Fabrics
What to coverExplain your methodology for diagnosing link-level issues in InfiniBand or RDMA-based fabrics. Address how you verify topology, interpret link-health metrics, and resolve physical layer faults like transceiver failures or link flaps.
Infrastructure as Code (IaC) Strategy
What to coverDescribe how you use Terraform and Ansible to manage large-scale, heterogeneous cloud or HPC environments. Focus on maintaining consistency, handling configuration drift, and ensuring security at the OS level across diverse clusters.
Designing Observability for Fault-Tolerant Systems
What to coverExplain how you architect monitoring solutions using the Prometheus, Loki, and Grafana stack. Detail how you define meaningful alerts for AI infrastructure to ensure high availability and proactive incident resolution.
Managing GPU Clusters with Base Command Manager
What to coverDiscuss your experience with cluster provisioning and lifecycle management tools like Base Command Manager. Explain how such tools simplify the deployment of large-scale AI infrastructure compared to manual configuration.
CI/CD for Infrastructure Automation
What to coverDescribe how you implement CI/CD pipelines to automate infrastructure deployments. Suggestion: Focus on how you ensure testing and validation of infrastructure changes before they are applied to production HPC environments.
Linux OS Security in HPC Environments
What to coverDetail your approach to hardening Linux-based nodes in a high-performance computing cluster. Discuss balancing strict security requirements with the performance needs of low-latency, GPU-intensive applications.
Scripting for Automation and Orchestration
What to coverProvide examples of how you use Python and Bash to automate complex infrastructure tasks. Suggestion: Highlight scenarios where you have used these scripts to bridge gaps between orchestration tools or to perform custom system diagnostics.
Behavioural practice
Acting as a Trusted Advisor to Customers
What to coverDescribe a situation where you had to guide a customer through a complex architectural decision. Explain how you balanced their specific business needs with technical best practices and NVIDIA's infrastructure roadmap.
Leading Incident Retrospectives
What to coverProvide an example of a time you led a post-deployment review or incident retrospective for a critical infrastructure failure. Focus on how you identified the root cause and implemented changes to prevent recurrence.
Managing Stakeholder Expectations
What to coverDescribe a time you had to present technical infrastructure strategies to executive-level stakeholders. How did you translate complex technical challenges into actionable business insights?
Collaborating Across Functional Teams
What to coverGive an example of a project where you had to coordinate with multiple internal teams to deliver a large-scale infrastructure solution. How did you manage competing priorities and ensure project alignment?