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Nvidia Senior System Software Engineer Video Code 
India, Maharashtra, Pune 
631181138

24.06.2024

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!

What you will be doing:

  • Work alongside brilliant and forward-thinking engineers on core video technologies to develop, maintain, optimize and deliver NVIDIA GPU driver and SDKs.

  • 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.

  • Bachelors/Masters in Computer Science or related discipline from a reputed university with 3+ years of proven experience.

Ways to stand out from the crowd:

  • You are dedicated, fast to act, self-motivated and enthusiastic about video technologies.

  • Background of hardware-accelerated video codec pipeline.

  • Knowledge of graphics APIs like OpenGL/Vulkan and CUDA.

  • Passionate about learning and experimenting with new technologies such as CUDA, Deep Learning, Computer Vision in the field of video decode/encode.

  • Contribution to Open Source Software projects.