NVIDIA interview process (2026)

Round-by-round breakdown of the NVIDIA software engineering interview across 4 levels and 13 rounds: interview mode, sample questions, and worked solutions.

NVIDIA salary & ratings · All interview processes

Software Engineer Intern / System Software Engineer Intern (Summer / ~6-month)

Difficulty: Medium · Timeline: ~1 week

  1. Round 0: Online Assessment (HackerRank)

    Assessment · 60-90 minutes · difficulty 2/5 · elimination round

    Mode of interview: Online assessment · HackerRank

    Sample question: Reverse Linked List — Given the head of a singly linked list, reverse it and return the new head. Iterative O(n) time, O(1) space expected.

  2. Round 1: Technical Interview (panel, virtual)

    Onsite · 5-2 hours · difficulty 3/5

    Mode of interview: Onsite or virtual onsite interview

    Sample question: Search in Rotated Sorted Array — An ascending-sorted array of distinct integers is rotated at an unknown pivot. Given the array and a target, return the index of the target, or -1 if it is not present. Aim for O(log n).

  3. Round 2: HR / Behavioral Round

    Behavioral · 30-45 minutes · difficulty 1/5

    Mode of interview: Live behavioral interview

Software Engineer / SDE (entry & early-career, incl. campus and off-campus drives)

Difficulty: Medium · Timeline: ~3-6 weeks · Recommended prep: 4-8 weeks · Cooldown: ~6-12 months

  1. Round 0: Recruiter / HR screen

    Phone · ~30 minutes · difficulty 1/5 · elimination round

    Mode of interview: Remote phone or video interview

  2. Round 1: Online Assessment (HackerRank)

    Assessment · ~90 minutes · difficulty 2/5 · elimination round

    Mode of interview: Online assessment

    Sample question: Search in Rotated Sorted Array — Given a sorted array rotated at an unknown pivot and a target, return the index of target in O(log n) time, or -1 if not present. All values are distinct.

  3. Round 2: Technical / coding interview panel

    Onsite · ~90 minutes · difficulty 3/5

    Mode of interview: Onsite or virtual onsite interview

    Sample question: Number of Islands — Given an m x n 2D grid of '1' (land) and '0' (water), return the number of islands. An island is formed by connecting adjacent lands horizontally or vertically.

  4. Round 3: Domain / system-design + behavioral round(s)

    System_design · 45-60 minutes · difficulty 3/5

    Mode of interview: Live system design interview

    Sample question: Design a Distributed Cache for GPU Workloads — Design a distributed key-value caching layer (for training data / inference results) that reduces GPU idle time. Discuss cache servers, sharding/consistent hashing, eviction policy (LRU/LFU), consistency model, and hit/miss handling.

Senior Software Engineer

Difficulty: Hard · Timeline: ~4-8 weeks · Recommended prep: 6-10 weeks · Cooldown: ~12 months

  1. Round 0: Recruiter screen

    Phone · ~30 minutes · difficulty 1/5 · elimination round

    Mode of interview: Remote phone or video interview

  2. Round 1: Technical phone screen (coding)

    Phone · 45-60 minutes · difficulty 3/5 · elimination round

    Mode of interview: Remote phone or video interview

    Sample question: Trapping Rain Water — Given n non-negative integers representing an elevation map where each bar has width 1, compute how much water it can trap after raining.

  3. Round 2: Hiring-manager call

    Behavioral · ~30 minutes · difficulty 2/5

    Mode of interview: Live behavioral interview

  4. Round 3: Onsite loop (coding + system design + domain deep-dive + behavioral)

    Onsite · 45-60 min · difficulty 4/5

    Mode of interview: Onsite or virtual onsite interview

    Sample question: Design a Large-Scale GPU Job Scheduler — Design a scheduler that allocates GPU resources across a cluster to tens of thousands of concurrent jobs. Discuss scheduling policies (FIFO / priority / fairness / gang scheduling), throughput-vs-latency trade-offs, queueing, preemption, fragmentation, and fault handling.

Principal Software Engineer

Difficulty: Hard · Timeline: ~4-8+ weeks; senior/principal loops move at team pace and ma · Recommended prep: Prep is less about LeetCode grinding and · Cooldown: Not published.

  1. Round 0: Recruiter + hiring-manager screens

    Phone · ~30 minutes · difficulty 2/5 · elimination round

    Mode of interview: Remote phone or video interview

  2. Round 1: Onsite loop (architecture/system design + domain leadership + coding + behavioral)

    Onsite · 45-60 min · difficulty 4/5

    Mode of interview: Onsite or virtual onsite interview

    Sample question: Design a Distributed Deep-Learning Training System (GPT-4 / 100B+ scale) — Architect a distributed training platform for a very large model. Address data vs. model vs. pipeline vs. tensor parallelism, collective communication (all-reduce / NCCL), gradient synchronization, checkpointing/fault tolerance across thousands of GPUs, and network-bandwidth and straggler bottlenecks.

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Worked sample solutions (code, design diagrams, and STAR answers) for every round are available in the FAANGPlus app: open interview processes.