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Nvidia Senior System Software Engineer 
India, Maharashtra, Pune 
6624481

Yesterday
India, Pune
India, Bengaluru
time type
Full time
posted on
Posted 5 Days Ago
job requisition id

What you'll be doing:

  • Implementing Intelligent Video analytics end-to-end solutions incorporating perception and analytics for heterogeneous computing platforms incorporating deep learning accelerators scaling from edge devices to enterprise systems, powered by NVIDIA Tesla and the Jetson platform.

  • Develop applications implemented using NVIDIA SDKs and scale them to internal deployments to test-drive our technologies within real-world scenarios.

  • Implement and extend portions of the Deep Stream SDK and APIs that interface with NVIDIA hardware-accelerated libraries for artificial intelligence, multimedia, graphics and display technologies.

  • Develop applications that demonstrate the use of the SDK along with other technologies to enable use-cases for Intelligent video analytics.

  • Implement and develop applications and solutions using cutting-edge state of the art distributed technologies to ensure scalability, reliability and efficiency.

What we need to see:

  • Brief understanding of video/image processing, computer vision , Deep learning and Video/Audio codecs technologies.

  • Good understanding of operating systems concepts, RTOS etc.

  • Masters or Bachelors degree in Computer Science/ EE, or related discipline, or equivalent experience.

  • 5+ years of industry experience.

  • Excellent C/C++/python programming skills.

  • Excellent debugging and analytical skills.

  • Knowledge in scripting, UI development working experience on Linux Embedded system preferred.

  • Demonstrate strong interpersonal skills, be a phenomenal teammate and be self driven.

Ways to stand out from the crowd:

  • Experience specifically in System optimizations , Performance tuning.

  • Knowledge of GPU or parallel computing platforms like CUDA.

  • Python programming experience.

  • Flexibility to work and communicate effectively in a multinational, multi-time-zone corporate environment.

  • Knowledge of LLMs and VLM is a big plus