We are currently seeking a Senior System Software Engineer experienced in video driver development, is a detail- oriented C/C++ programmer, knows system programming fundamentals, and is capable of learning new and complex technologies. If you dream to learn, explore, and apply the latest technologies to solve complex problems, we want to hear from you!
We work with various NVIDIA GPU products related to video technology, more details at:
https://developer.nvidia.com/vulkan/video/get-started
https://developer.nvidia.com/video-codec-sdk
What you will be doing:
-
You will work alongside brilliant and forward-thinking engineers on core video technologies to develop, maintain, optimize, and deliver NVIDIA GPU video driver stacks.
-
Define Vulkan extensions for video encode and decode and implement them on NVIDIA GPUs.
-
You will help harness maximum performance from NVIDIA GPU hardware.
-
Collaborate with multiple teams worldwide in our company, as well as our partners and customers.
-
Generate innovative solutions for difficult problems in the industry, build prototypes and productize them.
-
Mentor and work with other engineers; help, motivate and technically lead them.
-
You will do peer code reviews, design reviews, test plan reviews, and write user documentation.
What we need to see:
-
Understanding of video standards (H.264/H.265/VPx/AV1 etc).
-
Fundamental knowledge in software design, system programming, optimization, and performance tuning with expertise in using relevant tools.
-
Ability to understand the product’s use-cases.
-
Proficient in C and/or C++ and strong software development, optimization, and debugging skills.
-
Good in written and verbal communication, along-with strong collaborative, technical leadership skills.
-
Ability to work on Linux and Windows as a development and test platform.
-
You have an ability to follow, develop and influence software development processes.
-
BS or MS with 6+ years of proven experience.
Ways to stand out from the crowd:
-
Experience in Vulkan specification development.
-
Knowledge of hardware-accelerated video codec pipeline.
-
Knowledge of graphics APIs like OpenGL/Vulkan/DX and compute APIs like CUDA.
-
Passionate about learning and experimenting with new technologies such as Deep Learning, Computer Vision in the field of video decode/encode.
-
Contribution to Open-Source Software projects.
Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
.jpg)
