Project codingLast seen Oct 2026
Build a System Metrics Reporter
Implement a VM metrics reporter that gathers CPU, memory, and disk usage, maintains a rolling window, and sends qualifying JSON reports.
Open practiceNVIDIA interview practice
NVIDIA Software Engineer Interview: Coding and Systems Start with verified evidence.
Practice from 72 NVIDIA-tagged public coding problems, organized only by the stage, topic, difficulty, and recency metadata FastPrep can verify. The broader public catalog also includes 9 system-design exercises, 2 project-coding exercises.
- Catalog
- 83 public practice assets (72 coding)
- Start here
- Use the stage named in your invitation
- Evidence
- OA · Phone · Onsite metadata, shown in context
OA practice path
Online Assessment
Build a timed implementation rhythm from prompt to edge cases. Problems are ranked by repeated public catalog sightings.
| Company | Problem | Difficulty | Public evidence | Action |
|---|---|---|---|---|
NVNVIDIA | Sparse Valid Conv2D From ScratchArrayMatrix | Medium | 1 public reportLast reported Oct 2025 | Practice |
NVNVIDIA | Break a PalindromeStringGreedy | Medium | 1 public reportLast reported Jul 2025 | Practice |
NVNVIDIA | Dynamic Path AccessorHash TableParsing | Easy | 1 public reportLast reported Jul 2025 | Practice |
NVNVIDIA | Palindromic StringsStringGreedy | Hard | 1 public reportLast reported Jul 2025 | Practice |
NVNVIDIA | Minimum Power-of-Two AdjustmentsMathBit Manipulation | Medium | 1 public reportLast reported Dec 2022 | Practice |
NVNVIDIA | Valid Bracket SequenceStackString | Easy | 1 public reportLast reported Nov 2021 | Practice |
NVNVIDIA | Decision Tree Regression from ScratchTreeRecursion | Hard | 1 public reportLast reported Jul 2020 | Practice |
NVNVIDIA | Generate Uniform rand3 from rand10Math | Medium | 1 public reportLast reported Jul 2020 | Practice |
Phone practice path
Phone Screen
Practice solving while explaining assumptions, tradeoffs, and complexity. Problems are ranked by repeated public catalog sightings.
44 NVIDIA-tagged Phone Screen problems available.
| Company | Problem | Difficulty | Public evidence | Action |
|---|---|---|---|---|
NVNVIDIA | LRU Key-Value Cache OperationsDesignHash Table | Medium | 2 public reportsLast reported Aug 2026 | Practice |
NVNVIDIA | Filter Paginated Medical RecordsHash TableArray | Medium | 1 public reportLast reported Oct 2026 | Practice |
NVNVIDIA | Least Frequently Used CacheDesignHash Table | Hard | 1 public reportLast reported Oct 2026 | Practice |
NVNVIDIA | Parallel String Counts with a Custom Hash TableHash TableConcurrency | Medium | 1 public reportLast reported Oct 2026 | Practice |
NVNVIDIA | Simulate a Reference-Counted Smart PointerHash TableDesign | Medium | 1 public reportLast reported Aug 2026 | Practice |
NVNVIDIA | Streaming Top-K Frequent ElementsHash TableSorting | Medium | 1 public reportLast reported Aug 2026 | Practice |
NVNVIDIA | Merge Multiple Sorted StreamsHeapArray | Medium | 1 public reportLast reported Aug 2026 | Practice |
NVNVIDIA | Transformer KV Cache OperationsDesignHash Table | Medium | 1 public reportLast reported Aug 2026 | Practice |
NVNVIDIA | Last Robot ScoreHeapSimulation | Easy | 1 public reportLast reported May 2026 | Practice |
NVNVIDIA | Attention With Absolute Index BiasArrayMath | Medium | 1 public reportLast reported Dec 2025 | Practice |
NVNVIDIA | Implement a Mini-Batch Training LoopArrayMath | Medium | 1 public reportLast reported Dec 2025 | Practice |
NVNVIDIA | Build a Bird’s-Eye-View Height GridArrayMatrix | Medium | 1 public reportLast reported Jun 2025 | Practice |
NVNVIDIA | Serialize and Deserialize a Binary TreeTreeDepth-First Search | Hard | 1 public reportLast reported Jun 2025 | Practice |
NVNVIDIA | Largest Number by ConcatenationArraySorting | Medium | 1 public reportLast reported Feb 2025 | Practice |
NVNVIDIA | Rotate a Linked List to the RightLinked List | Medium | 1 public reportLast reported Feb 2025 | Practice |
NVNVIDIA | Search a Rotated Sorted ArrayArrayBinary Search | Medium | 1 public reportLast reported Feb 2025 | Practice |
NVNVIDIA | Power with Integer ExponentsMathRecursion | Medium | 1 public reportLast reported Feb 2025 | Practice |
NVNVIDIA | Sliding Window MaximumArraySliding Window | Hard | 1 public reportLast reported Feb 2025 | Practice |
NVNVIDIA | Symmetric INT8 Tensor QuantizationArrayMath | Medium | 1 public reportLast reported Feb 2025 | Practice |
NVNVIDIA | Reveal Cards in Increasing OrderArrayQueue | Medium | 1 public reportLast reported Oct 2024 | Practice |
Onsite practice path
Onsite
Practice complete solutions and defend the choices behind them. Problems are ranked by repeated public catalog sightings.
| Company | Problem | Difficulty | Public evidence | Action |
|---|---|---|---|---|
NVNVIDIA | Fixed-Round K-Means AssignmentsArrayMath | Hard | 2 public reportsLast reported Jun 2021 | Practice |
NVNVIDIA | Check Endianness Of A Byte ArrayBit ManipulationArray | Easy | 1 public reportLast reported Sep 2026 | Practice |
NVNVIDIA | Implement MallocDesignSimulation | Medium | 1 public reportLast reported Sep 2026 | Practice |
NVNVIDIA | Implement PrintfString | Medium | 1 public reportLast reported Sep 2026 | Practice |
NVNVIDIA | Merge Two Arrays Into Sorted OrderArraySorting | Easy | 1 public reportLast reported Sep 2026 | Practice |
NVNVIDIA | Middle Node Of A Linked ListLinked ListTwo Pointers | Easy | 1 public reportLast reported Sep 2026 | Practice |
NVNVIDIA | Ping Reply TrackingArraySimulation | Medium | 1 public reportLast reported Sep 2026 | Practice |
NVNVIDIA | Reverse A StringStringTwo Pointers | Easy | 1 public reportLast reported Sep 2026 | Practice |
NVNVIDIA | Maximum Fish in a GridMatrixDepth-First Search | Medium | 1 public reportLast reported Sep 2024 | Practice |
NVNVIDIA | Minimum in a Rotated Sorted ArrayArrayBinary Search | Medium | 1 public reportLast reported Sep 2024 | Practice |
NVNVIDIA | First Register Overflow TickMathBinary Search | Medium | 1 public reportLast reported May 2024 | Practice |
NVNVIDIA | Two-Egg DroppingDynamic ProgrammingMath | Medium | 1 public reportLast reported May 2024 | Practice |
NVNVIDIA | Multinomial Sampling with Distribution ChecksArrayPrefix Sum | Medium | 1 public reportLast reported Feb 2024 | Practice |
NVNVIDIA | Alternate A and B with Two WorkersConcurrencyString | Medium | 1 public reportLast reported Jun 2021 | Practice |
NVNVIDIA | Circle Intersection in Three DimensionsMathGeometry | Hard | 1 public reportLast reported Jun 2021 | Practice |
NVNVIDIA | Find Graph Roots and Traverse with DFSGraphDepth-First Search | Medium | 1 public reportLast reported Jun 2021 | Practice |
NVNVIDIA | Maximum Gain on a Budgeted Returning WalkGraphDynamic Programming | Hard | 1 public reportLast reported Jun 2021 | Practice |
NVNVIDIA | Move Zeros to the Front with Two PointersArrayTwo Pointers | Easy | 1 public reportLast reported Jun 2021 | Practice |
NVNVIDIA | Swap Adjacent Bits in a 32-Bit WordBit Manipulation | Easy | 1 public reportLast reported Jun 2021 | Practice |
NVNVIDIA | Valid Max PoolingMatrixSliding Window | Medium | 1 public reportLast reported Jun 2021 | Practice |
01 · Preparation plan
Practice ownership, ordered streams, and cache state.
NVIDIA's public coding assets offer a systems-oriented path through ownership and data movement. Reference counting, merging sorted streams, and cache operations provide concrete implementation practice. They do not establish CUDA, GPU architecture, hardware design, or model-training coverage for every NVIDIA role. This is a suggested practice sequence, not the employer's interview process. Your invitation and recruiter guidance remain the source of truth.
- 01
Model ownership transitions explicitly
The reference-counted pointer exercise is useful for distinguishing objects from references to them. Copying, releasing, and reassignment should preserve the stated lifetime rules.
- Track references separately from object identity.
- Test the last reference being released.
- Check reassignment and repeated release behavior.
- 02
Merge streams with bounded candidate state
Use multiple sorted streams to compare a heap of current heads with repeatedly scanning all inputs. Preserve stream identity when advancing one candidate.
- Test empty streams and equal values.
- Include the number of streams in complexity.
- Avoid loading unnecessary future elements.
- 03
Maintain recency independently of lookup
The LRU cache exercise connects constant-time key lookup with ordering updates. Reads and replacements can change recency without changing the number of entries.
- Test capacity zero or one if allowed.
- Move accessed entries consistently.
- Check eviction after updating an existing key.
02 · Broader technical practice
Practice beyond standalone coding questions.
These public NVIDIA-tagged exercises cover additional technical formats. They are included only when a verified catalog record and a crawlable practice page both exist.
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Autonomous-Driving Camera Perception Pipeline
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Governed SQL Generation Chatbot
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GPU Telemetry Collection and Analytics Platform
Design an end-to-end GPU telemetry platform with 30-second fleet monitoring, bounded one-second investigations, three-month trends, and per-GPU drilldown.
Open practiceSystem designLast seen Sep 2024
Design a Visual Conversation and Speech Assistant
Give a language model image-grounded conversational ability and turn the same answer into ordered speech, with model-quality checks and clear interruption behavior.
Open practiceSystem designLast seen Sep 2024
Design Continued Multimodal Model Pretraining
Continue pretraining an existing image-text model on new domain data while measuring adaptation, preserving general capabilities, and recovering a bounded distributed run.
Open practiceSystem designLast seen Sep 2024
Design Few-Shot Vision-Language Model Adaptation
Adapt a pretrained language model and vision backbone into a VLM using few supplied SFT examples, synthetic training data, and reproducible evaluation.
Open practiceProject codingLast seen Sep 2023
Neural-Network Graph Tracing and Autograd
Trace a neural-network graph, implement backpropagation from scratch, and add gradient accumulation.
Open practiceSystem designLast seen Jun 2021
Design a GPU-Limited Three-Model Pipeline
Run a fixed chain of three models on two GPUs while balancing model-loading cost, bounded waiting, and durable recovery.
Open practiceSystem designLast seen Jun 2021
Design an Embedded Thread Sleep and Wakeup Service
Design timed thread blocking, early wakeup, timer interrupts, and low-power idle for a small embedded kernel.
Open practiceSystem designLast seen Apr 2020
Design a Versioned Flask Model Inference Service
Package a saved or reviewed pretrained model, load it safely into a Flask service, and serve attributable predictions with useful logs.
Open practice03 · Evidence boundary
What “NVIDIA interview questions” means here.
It means practicing transferable implementation, testing, and technical reasoning with public catalog assets FastPrep tags to NVIDIA. It does not mean FastPrep has access to the company's assessments or any private interview bank.
Repeated public sightings and last-reported dates can help you prioritize practice, but they cannot predict the questions, format, or platform in a specific interview.
- Only NVIDIA-tagged FastPrep catalog problems appear above.
- Stage labels and report dates remain visible as context.
- No official, private, leaked, or proprietary questions are claimed.
04 · Plain answers
NVIDIA interview practice questions, answered plainly.
This page owns technical-practice intent for NVIDIA. Hiring activity, timelines, and market signals remain on the separate hiring-insights page.
01Does this NVIDIA page teach CUDA or GPU kernel interviews?
Not as a dedicated course. The verified catalog supports general software and selected systems practice. Even a transformer-cache title describes a bounded programming exercise, not a complete GPU or machine-learning curriculum. Follow the actual role requirements for specialist preparation.
02Is FastPrep affiliated with NVIDIA?
No. FastPrep is an independent interview-preparation product and is not affiliated with NVIDIA. The page uses FastPrep's public practice catalog and does not claim official, private, leaked, or proprietary employer questions.
03How are NVIDIA problems assigned to interview stages?
Stage labels come from FastPrep's public problem metadata. A problem can carry more than one reported stage, and hiring processes can change by role, level, location, and date. Treat the labels as preparation context, not a guarantee.
04Which NVIDIA interview stage should I practice first?
Start with the stage named in your invitation or recruiter message. If no stage is known, use the largest available set to build general problem-solving fluency, then rehearse explanation and testing separately.
05Does this page predict the NVIDIA interview process?
No. Public catalog counts, stage tags, and last-reported dates can help prioritize practice, but they cannot predict a specific interview's questions, sequence, timing, or platform.
Your next stage, made concrete
Pick a problem. Solve it end to end.
Start with the stage named in your invitation, then use public evidence as context—not as a promise of what you will be asked.
Open the practice set