Nvidia Senior System Software Engineer 

India, Maharashtra, Pune 

280237644

What you’ll be doing:

• Partner alongside forward-thinking engineers to implement and optimize software to provide new capabilities in NVIDIA AI for Multimedia components as well as improve the existing features and framework architecture for different GPUs, CPUs and system OS platforms.

• Exposure to integrating evolving computer vision SDKs into applications & use cases on different platforms. We would be working on many groundbreaking features and their application that are redefining our industry.

• We will see features go through the whole cycle - from proof-of-concept to production.

• Together we will connect with multiple teams in our company, as well as our partners and customers.

What we need to see:

• Proficiency in C++ programming and debugging.

• You have a knack for full stack development - from implementing frameworks and interfaces to understanding the impact and consequence on the hardware.

• Passion for optimizing system performance, root causing bottlenecks and optimizing performance on GPU, CPU and memory.

• Strong knowledge of OS fundamentals and familiarity with device driver stacks.

• You have knowledge of usage of at least one graphics, video or image processing library (Direct3D, Vulkan, OpenGL, OpenCV, etc. or any proprietary library) in visual domain.

• CUDA programming experience would be a plus.

• Strong software engineering background and design fundamentals particularly related to creating robust system software.

• Familiarity with software lifecycle-based processes.

• Strong communication and analytical skills.

• Self-motivated, fast to act and eager to learn as well as guide.

• Bachelor/Master/PhD in Computer Science or Electronics or Electrical Engineering.

• 5+ years of experience developing systems software on Windows/Linux/iOS.

Ways to stand out from the crowd:

• Exposure to video conferencing, broadcasting applications and environments.

• Experience working with computer vision, image, video processing systems.

• Familiarity working with camera, mic, speaker devices.

• Knowledge of graphics hardware accelerated systems on PC or embedded systems.