📍
Santa Clara, CA

Research Scientist, Embodied and Agentic AI - New College Grad 2026

No experience
Technology & Digital
Software engineering
Posted:
December 29, 2025

Nvidia

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

NVIDIA is searching for an outstanding AI researcher to join the learning and perception research team. We are passionate about research that pushes boundaries but also has impact in the real world. Specific areas we are excited by include -- but are not limited to -- perception, agentic reasoning, multi-modal learning, as well as embodied AI. You will work within an amazing and collaborative research team that consistently publishes at the top venues in computer vision and machine learning. Our existing expertise includes computer vision, deep learning, generative models, and so forth. Your contributions have the chance to create real impact on our products.

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What you'll 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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