📍
Santa Clara, CA

Circuit Design Engineer, Power Modeling and Simulation - New College Grad 2026

No experience
Finance
Engineering
Posted:
December 28, 2025

Nvidia

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

We are now looking for a motivated Circuit Design Engineer in Power Modeling and Simulation to join our dynamic and growing Circuits Solutions Group. If you are looking for a significant and exciting role in improving the netlist and timing quality of our designs and if you are a strong self-starter and highly motivated individual who loves to collaborate and find solutions to hard technical problems, join us today!

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What you’ll 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

NVIDIA’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 “flexible work environment” 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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