Nvidia · Software Engineer (New Grad)
Nvidia's new-grad SWE loop leans toward systems and performance, reflecting a company built on GPUs, drivers, and heavy C/C++. Beyond standard data-structure coding, expect questions on memory, pointers, concurrency, and often computer-architecture or OS fundamentals, with a real edge if you can talk about CUDA or parallelism. The team you interview with shapes the emphasis, but low-level fluency and performance intuition run through nearly every loop.
Practice this interview
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What this interview tests
- C/C++ fluency (pointers, memory layout, lifetimes)
- Systems fundamentals (OS, virtual memory, architecture)
- Concurrency and data races
- Performance intuition (cache, constant factors, throughput)
- Parallel / GPU / CUDA reasoning (a strong plus)
- Medium data-structure coding done precisely
Common question themes
Pointer, bit-manipulation, and memory-layout problems
"Explain stack vs heap / how virtual memory works"
Concurrency: spot and fix a data race
Optimize code for cache and real-hardware performance
GPU/CUDA deep dive (threads, coalescing, sync) if known
Medium tree/array problems in C or C++
Modeled on a public Nvidia new-grad SWE posting