📍
Taipei, Taiwan

Research Scientist, Deep Learning and Computer Vision - New College Graduate

Graduate Program
Technology & Digital
Software engineering
Posted:
December 29, 2025

Nvidia

GPUs and accelerated computing company
76.6
Palpable Score
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NVIDIA is searching for several outstanding computer vision and deep learning researchers to join our research team. We are passionate about research that pushes boundaries but also has an impact in the real world. Specific areas we are excited by include but are not limited to computer vision for 3D vision, generative and multimodal AI (e.g., vision and language, audio-visual learning, etc.), as well as explainable and trustworthy AI. You will work within an amazing and collaborative research organization that consistently publishes at the top venues across computer science. You have the opportunity to join and shape a new research team, where your contributions can create a real impact on our products.

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What you will be doing:

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What we need to see:

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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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