Nvidia Senior System Software Engineer - AI 

India, Maharashtra, Pune 

951226928

What You’ll Be Doing:

• Partnering with NVIDIA software, research, architecture, and product teams to align strategies and technical needs for encouraging the ecosystem of AI on Windows RTX PCs.

• Collaborate closely with Microsoft to advance AI across critical domains—including graphics, web browsers, and edge devices—by driving innovation in technologies such as WindowsML, ONNX Runtime, and NVIDIA’s proprietary libraries and driver stack.

• Improving performance on current and next-generation GPU architectures by conducting in-depth analysis and end-to-end optimization of AI models, data processing pipelines, and inference runtime features.

• Identifying, evaluating, and implementing compute and memory optimization techniques—such as quantization, distillation, and pruning—for large AI models; fine-tuning and compressing models to fit edge devices.

What We Need to See:

• Bachelor's, Master's, or PhD in Computer Science, Software Engineering, Mathematics, or a related field (or equivalent experience).

• Excellent C++ programming and debugging skills with a strong understanding of data structures and algorithms.

• 5+ years of experience with proficiency in AI inferencing pipelines and applications using ML/DL frameworks like ONNX RT, DirectML, PyTorch, Tensor RT.

• Strong analytical and problem-solving abilities, with the ability to multitask effectively in a dynamic environment.

• Outstanding written and oral communication skills enabling effective collaboration with management and engineering teams.

Ways To Stand Out from The Crowd:

• Understanding modern techniques in Machine Learning, Deep Neural Networks, and Generative AI with relevant contributions to major open-source projects will be a plus.

• Consistent track record of delivering end-to-end products with geographically distributed teams in multinational product companies.

• Proficiency in lower-level system/GPU programming, CUDA, developing high-performance systems.

• Hands-on experience with building applications using APIs like ONNX RT, DirectML, DirectX, PyTorch, TensorRT, Vulkan.