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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
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