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Performance Engineering Intern - Summer 2026

Internship
Finance
Engineering
Posted:
December 29, 2025

Nvidia

GPUs and accelerated computing company
76.6
Palpable Score
Apply >view company >

We are looking for a Performance Engineer intern who will assemble computer hardware, develop and run automation scripts on applications and design tools to better provide performance information. The ideal candidate is a game enthusiast with a good understanding of in-game settings and graphics technologies, would be familiar with NVIDIA products and its characteristics. Experience and passion for PC games is widely welcome.

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What you will be doing:

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What we need to see:

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Ways to stand out from the crowd:

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About the company

Nvidia

Company overview
NVIDIA designs GPUs and full-stack accelerated computing platforms used in gaming, professional visualisation, AI, and data centres. NVIDIA also builds networking and systems products for large-scale computing, plus software platforms such as CUDA and AI libraries that developers use to train and run models. NVIDIA sells to cloud providers, enterprises, researchers, and OEM partners, alongside a large consumer gaming ecosystem. NVIDIA is headquartered in Santa Clara, California and operates globally.

Locations and presence

NVIDIAโ€™s corporate headquarters is in Santa Clara, California, and NVIDIA operates across dozens of countries (38 countries reported for fiscal year 2025). NVIDIA reports a โ€œflexible work environmentโ€ with work-from-home under certain conditions, with day-to-day expectations varying by team and role.

Palpable Score

76.6
/ 100
NVIDIA is a strong early-career option because NVIDIA runs a clear set of student and new-grad pathways, and NVIDIA positions internships as the main pipeline into early-career hiring. The main friction point is hiring consistency: NVIDIA publishes an applicant-facing process, but public interview reports still include ghosting and uneven closure. Pay and intern experience signals are strong, while long-run early-career outcomes are not published as metrics candidates can easily compare.
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