Senior System Software Engineer, GeForce NOW

NVIDIA — India, Pune

We are looking for a 'full stack' engineer who can move quickly between Windows, Mac, frontend, backend, networking, native development, and much more. If you're experienced with various technologies, a fast learner and have a “get things done” mentality, we'd love to hear from you! In this role, you will play a significant part in helping to craft and guide the future of Cloud Gaming experience for our GeForce Now application and Local Gaming experience for our NVIDIA App. The Full Stack role provides technical excellence within the application tier of a multi-layer application architecture. You will serve as the technical domain authority for development spanning across multiple applications and product lines. GeForce NOW is NVIDIA's Cloud Gaming service streaming games at the highest quality to any and every user regardless of their device types and capabilities – low-end PCs, Macs, or mobile devices. Using the most advanced GPUs and software, GeForce NOW transforms the gaming experience with always up-to-date games on always the latest hardware, a streaming experience rivalling that of a local PC, and near-instant launch – just click and play! For more details see https://www.nvidia.com/en-us/geforce/products/geforce-now/ The NVIDIA App is the essential companion for PC gamers and creators. Keep your PC up to date with the latest NVIDIA drivers and technology. Optimize games and applications with a new unified GPU control center, capture your favorite moments with powerful recording tools through the in-game overlay, and discover the latest NVIDIA tools and software. For more details see https://www.nvidia.com/en-us/software/nvidia-app/ What you’ll be doing: Design and Deliver high performance applications for desktop and mobile platforms. Work closely with our PM and design teams to define feature specifications and build the next generation of products using frameworks such as Angular & React. Work closely with operations for reliability and scalability of our

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