Nvidia Senior System Software Engineer - AI 

India, Maharashtra, Pune 

168966989

What You’ll Be Doing:

• Design and implement a highly performance optimized framework for running AI NPCs in gaming applications as part of the NVIDIA ACE Platform through CUDA-DX interop

• Develop a Hybrid AI platform which can execute AI inferencing seamlessly across cloud and local devices supporting different ML backends like TensorRT, ONNX RT, DirectML, PyTorch etc.

• Identify and implement compute and memory optimizations across the full inferencing stack – HW scheduling, driver, backends and model pipelines to ensure the best performance and quality of service

• Collaborate with AI application developers from different focus areas – gaming, creator, and productivity– to develop inferencing platforms targeting high developer adoption.

• Collaborate with Microsoft to drive the advancements in APIs, AI frameworks, and platforms for developing and deploying AI inferencing applications.

• Ensure the effective deployment of directed tests through collaboration with the automation team, thereby ensuring the robustness of automated testing.

What We Need To See:

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

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

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

• Strong analytical and problem-solving abilities, with the capacity 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 of 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 graphics APIs like OpenGL, DirectX, Vulkan