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Senior Video System Software Engineer at NVIDIA, Bengaluru Onsite
Senior engineer building GPU-accelerated video streaming software for NVIDIA GeForce NOW cloud gaming, with a focus on codecs, video quality, reliability, AI processing, and latency.
विवरण
- Create video streaming capabilities that enable new interactive experiences
- Build features that improve image quality, performance, reliability, security, and maintainability
- Profile GPU and CPU performance across the video pipeline, identify bottlenecks, and implement solutions with GPU hardware and software teams
- Develop tools to measure video quality from the user’s perspective and assess improvements
- Use modern video compression technologies to deliver high-quality streaming for interactive graphics applications
- Build quality assessment and analysis tools using video metrics and encoder statistics to identify regressions, assess features, and guide codec and pipeline tuning
- Apply machine learning and AI models to video processing and adaptive streaming algorithms that reduce artifacts and latency across changing network conditions
आवश्यकताएँ
- At least five years of experience and a bachelor’s or master’s degree in computer science or a related field
- Proficiency in C, C++, and Python
- Strong knowledge of real-time, GPU-accelerated video pipeline performance, including encoder behavior, color spaces, scaling, transport efficiency, buffering, pacing, bitrate adaptation, frame handling, and latency optimization in distributed or cloud systems
- Familiarity with Vulkan, CUDA, OpenGL, and DirectX APIs
- Strong understanding of H.264, HEVC, and AV1 codecs, including configuration tuning and application trade-offs
- Experience debugging and improving reliability in complex streaming systems under degraded network conditions, including packet-loss recovery, telemetry, tracing, field validation, and long-running sessions
- Proficiency in telemetry, statistical analysis, and performance monitoring for cloud infrastructure
- Experience integrating AI models into real-time video pipelines
- Experience with objective video quality assessment using VMAF, CAMBI, PSNR, and SSIM/MS-SSIM, including correlation with perceived quality
- Strong understanding of operating-system internals, user-mode and kernel-mode drivers, system software performance analysis, testing, and debugging
- Experience optimizing video pipelines across GPU families such as Intel integrated graphics and AMD GPUs
- Experience developing or analyzing graphics-rendering applications or advanced AI-based graphics-generation technologies such as DLSS, RTX, or FSR
लाभ
- NVIDIA is an equal opportunity employer committed to diversity, equity, and inclusion
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