3D Reconstruction Research Engineering Intern - Zurich, Schweiz - NVIDIA

NVIDIA

Geprüftes Unternehmen

Zurich, Schweiz

vor 2 Wochen

Geschrieben von:

Lena Schneider

beBee Recruiter

Beschreibung

We're Hiring a 3D Reconstruction Research Engineering Intern

GPU deep learning has provided the foundation for machines to learn, perceive, reason and solve problems.

The GPU started out as the engine for simulating human imagination, conjuring up the amazing virtual worlds of video games and Hollywood films.

Now, NVIDIA's GPU runs deep learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world.

Just as human imagination and intelligence are linked, computer graphics and artificial intelligence come together in our architecture. Two modes of the human brain - two modes of the GPU.

This may explain why NVIDIA GPUs are used broadly for deep learning, and NVIDIA is increasingly known as "the AI computing company.

"

What you'll be doing:

Optimize and improve research techniques to enable production-quality results
Integrate deep learning based reconstruction rendering techniques with traditional 3D rendering approaches
Participate in projects to conduct Deep Learning research and publish papers to well-known conferences (ex.

SIGGRAPH, CVPR, NeurIPS)What we need to see:

Currently pursuing a B.S., Master's or Ph.

D. in Electrical Engineering, Computer Science/Engineering, Math/Physics/Statistics or a related field- Strong technical abilities in traditional computer graphics or 3D reconstruction techniques such as NeRF, Gaussian Splatting, etc - with at least one working project demonstrating these abilities

Requirements if pursuing a Bachelor's:

Minimum 1 course on theories and practices of machine learning, including common machine learning frameworks
Minimum 1 course on traditional computer graphics or compilers

Requirements if pursuing a Master's or PhD:

In-depth knowledge of the theory and practice of machine learning and traditional computer graphics
Strong publication record with at least 1 accepted paper for a related well-known conference (SIGGRAPH, NeurIPS, ICML, AAAI, CVPR, ECCV, ICCV, etc.)
Knowledge of common machine learning frameworks

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you creative and autonomous? If so, we want to hear from you