NVIDIA Software Engineer Interview Questions
Master your tech interview with our curated database of real questions from top companies.
Find Top K Frequent Elements
Question LeetCode 347. Top K Frequent Elements – given an integer array nums, return the k most frequent elements. Initial requirement: return the top...
Implement simple VM manager with CRUD operations
You are asked to implement a simple in-memory virtual machine (VM) manager that can: - List all VMs - Add (create) a new VM - Modify (update) an exist...
Find all unique triplets summing to zero
Problem Given an integer array nums, return all unique triplets [nums[i], nums[j], nums[k]] such that: - i, j, and k are distinct indices (i != j != k...
Design an artifact store on K8s and Cassandra
System Design: Exactly-Once Creation by Name on Cassandra, Deletes, and Read API Design Context You run a Java web API on Kubernetes backed by a Cassa...
Design a distributed multi-user counter
Design a Horizontally Scalable Distributed Counter Service Context You are designing a distributed counter service used concurrently by many clients. ...
Decide on competitive comparison policy
Comparative Benchmarking Blog Post: Go/No-Go and Ethical Positioning You are a software engineer asked whether the company should publish a blog post ...
Design signals across power and clock domains
Interface Design for A → B Signal Across Power and Clock Domains Context: You are designing an SoC with two power domains, A and B. A signal (signal_1...
Identify impactful blog content pillars
Content Pillars for a Developer-Facing Software Product Blog (Beyond Performance) Context You are planning the editorial strategy for a developer-focu...
Define developer-centric usability metrics
Usability and Product Metrics Beyond Latency and Accuracy Context: In a technical screen focused on analytics and experimentation, propose how you wou...
Plan discovery and adoption strategy
New ML Technique: Discovery Questions and Developer Adoption Plan Context: You are a software engineer preparing to introduce a new ML technique to de...
Explain ML compilation optimizations and hardware fit
ML Compiler Optimizations and Platform Targeting Context You are designing a compiler/runtime stack for deep learning workloads that must run efficien...
Compare ML frameworks and trends
ML Framework Trends and PyTorch vs. JAX Differences Context You are in a technical screen for a software engineer (machine learning systems) role. Ans...
Design cross-power/clock-domain signal interface
Cross-Power/Clock-Domain Design for a 1‑bit Control S1 (A → B → A) Context You are designing a SoC with two power domains (voltage islands) A and B. A...
Implement 2D convolution using NumPy slicing
Implement 2D convolution on a 4×4 input and a 3×3 filter with stride 1 using NumPy. Avoid explicit Python loops by relying on array slicing, broadcast...
Explain optimization and tensor vs pipeline parallelism
Task: Deep Learning Optimization and Parallelism You are asked to explain optimization techniques commonly used to improve deep learning training and ...
Explain a graphics testing project in depth
Behavioral: End-to-End Walkthrough of a Graphics Testing Project Context: You are interviewing for a software engineering role focused on graphics and...
Design a Dockerized GPU test pipeline
Design a Docker-Based Environment for Automated Graphics Tests on NVIDIA/AMD GPUs Context You need to design a reproducible, secure, and debuggable CI...
Build a Jenkins CI for graphics tests
Take‑Home: Design a Jenkins Pipeline for GPU Graphics Test Matrix Context You need to design a Jenkins-based CI/CD system that builds a graphics appli...
Define a Git workflow for CI
Design a Git Branching and Release Strategy for a Graphics Testing Repository Context You are designing the source control and CI/CD workflow for a gr...
Implement a Python test harness
Implement a Python-based test harness for graphics validation. Discuss design of fixtures, parametrization, dependency injection, logging, retries, an...