๐Ÿ“
Tel Aviv, Israel

Chip Design Engineer

No experience
Technology & Digital
Engineering
Posted:
January 6, 2026

Nvidia

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

NVIDIA is looking for best-in-class Chip Design Engineers to join our outstanding Networking Silicon engineering team, developing the industry's best high speed communication devices, delivering the highest throughput and lowest latency! Come and take a significant part in designing and verifying our groundbreaking and innovating chips, enjoy working in a meaningful, growing and highly professional environment where you make a huge impact in a technology-focused company.

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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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