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Nvidia Senior System Software Engineer GeForce - SW-GPU 
India, Maharashtra, Pune 
825901208

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India, Pune
India, Bengaluru
time type
Full time
posted on
Posted 12 Days Ago
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What you’ll be doing:
Your job will be to do full stack development to implement features for GeForce NOW products like Game Developer Portal (GDP) / Grpahics Delivery Network (GDN) powered by NVIDIA RTX and GTX GPUs. Your responsibilities will include:

  • Develop cross-platform software for frontend UI and back-end services that uses hardware-accelerated libraries for multimedia, artificial intelligence, graphics and display.

  • Software includes working on Python & JavaScript (JS) based back-end services, React/Redux framework with HTML/CSS for frontend UI development, Windows Server OS and Mac platforms.

  • Working with a worldwide development team through the complete product lifecycle - development, testing, deployment, telemetry and documentation.

  • Solve complex system-level issues, optimizations and resource utilization problems.

What we need to see:

  • M.Tech inComputer/Electronics/Communicationengineering from a reputed institute with 5+ years of software development experience, having a significant focus on cloud computing software & client-server products.

  • Experience of designing cloud computing features using React/Redux and JavaScript (JS) based services, Windows OS running on VM platforms and client-server communication.

  • Experience frontend UI design using React/Redux, JavaScript (JS), Typescript and CEF/Angular frameworks will be needed.

  • Knowledge of GPU drivers, OS kernel level services and cloud platforms will be an added advantage.

  • Background of service deployment, telemetry acquisition and Kibana / Tableau dashboard development skills will be helpful.

Ways to stand out from the crowd:

  • Knowledge of GPU drivers, display functions & interactions for Windows Server, Windows OS and PC systems.

  • Experience with application of computer vision and/or artificial intelligence to video or gaming systems.

  • Familiarity with modern AI Deep Learning frameworks such as PyTorch, Tensorflow and MXNet.

  • Cross-platform development experience: multiple hardware architectures, multiple operating systems.

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