Graphics performance team works on delivering an efficient and powerful graphics architecture every generation. The team studies graphics workloads and test out innovative HW/SW solutions on various platforms to address the inefficiencies in the current architecture. The work we do paves the path for real time rendering of some of the most complex and compute intensive visualization technique.

What you'll be doing:

Investigate and study state-of-the-art real-time rendering techniques their implementation on GPU, to find performance issues

Study D3D12, DX Machine Learning, DX and Vulkan APIs and their impact to GPU

Propose ideas to improve GPU architecture based on quantitative study of existing and projected architectures.

Develop performance simulation models and simulation infrastructure.

Design performance testplan and tests for new graphics units and architectural features.

What we need to see:

Pursuing Bachelor in CS or EE. Master and PHD is preferred.

Solid knowledge of computer science, with the focus on computer graphics and/or computer architecture.

Strong interest in GPU graphics architecture, real time rendering technologies.

Good mastery of C++ language and practical C/C++ development experience.

Ways to stand out from the crowd:

Good understanding of state-of-the-art rendering techniques and their usage of GPU.

Experience of performance modelling, profiling and analysis is a plus.

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. If you're creative, autonomous and love a challenge, we want to hear from you.