•SYSTEM DESIGN
NVIDIA System Design Questions
Every system design problem candidates reported at NVIDIA between September 2025 and September 2026, most-asked first. Each one links to a full solution.
Problems
6
Candidate reports
6
Asked more than once
—
all reported once
Question type
6 HLD
Design an Autonomous-Vehicle Perception Pipeline
Design the camera perception pipeline for an autonomous vehicle: capture from multiple cameras, time synchronization, calibration, preprocessing, neural network inference (object detection, segmentation), sensor fusion and…
Design the Control Plane for a Compute Cluster: Host Monitoring + Job Dispatch
Design the control plane for a compute fleet of about 100,000 GPU hosts. Each host continuously reports health (GPU ECC errors, temperature, NVLink status, heartbeat); the control plane keeps live host state under high write…
Design a GPU Telemetry Collection and Analytics Platform
Design a telemetry pipeline for a very large fleet of devices or sensors (e.g., millions of temperature sensors, GPUs, or IoT devices each reporting every few seconds). Devices may be offline and upload batched, late-arriving…
Design a URL shortening service
Design a URL shortening service like TinyURL or bit.ly. Users submit a long URL and get a short code (optionally a custom alias and expiry); visiting the short URL redirects to the original. Assume hundreds of millions of new…
Design a bidirectional data sync dashboard
Design a dashboard system that keeps data synchronized in both directions between the dashboard's own store and one or more external systems: changes made in the dashboard propagate to the external systems and vice versa. Discuss…
Design first-time Kubernetes deployment in new cloud
Design how you would do a first-time Kubernetes deployment of your services in a new cloud environment: account/project bootstrapping, networking (VPC, subnets, ingress, load balancers), cluster setup and node pools (including…
Duplicate reports of the same problem are merged and counted.
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What system design questions does NVIDIA ask?
Candidates reported 6 distinct system design problems at NVIDIA between September 2025 and September 2026, including Design an Autonomous-Vehicle Perception Pipeline, Design the Control Plane for a Compute Cluster: Host Monitoring + Job Dispatch, Design a GPU Telemetry Collection and Analytics Platform.
How to prepare for NVIDIA system design interview?
Start with the NVIDIA problems reported most often, work through each full solution, then practice explaining a design end to end under time pressure in a mock interview.
What is the difference between HLD and LLD at NVIDIA?
HLD (High-Level Design) focuses on system architecture, scalability, and component interactions. LLD (Low-Level Design) dives into class diagrams, API contracts, and database schemas. NVIDIA tests both.