Windows AI Software Engineer
12 hours ago
NVIDIA is a leader in the field of artificial intelligence, and we're looking for talented individuals to join our team. As a Windows AI Engineer, you'll be working on developing inference runtimes, optimizing GenAI pipelines and inference backends, and devising algorithms that flawlessly incorporate AI into games and applications for Windows.
Key Responsibilities- Partner with NVIDIA software, research, architecture, and product teams to align strategies and technical needs for fostering the ecosystem of AI on a Windows RTX PC.
- Perform in-depth analysis and optimization of AI models, AI frameworks, data processing pipelines, and inference backends to ensure the best performance on current and next-generation GPU architectures.
- Identify and implement compute and memory optimizations across the full AI inference stack on RTX Windows PC.
- Develop model compression and fine-tuning techniques to reduce resource consumption and improve performance, enabling efficient deployment and better user experience.
- Design and implement an optimized framework for running AI NPCs in gaming applications as part of the NVIDIA ACE Platform.
- Collaborate with Microsoft to drive 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.
- Bachelor's, Master's, or PhD in Computer Science, Software Engineering, Mathematics, or a related field (or equivalent experience).
- 2 years of experience in AI inferencing pipelines and applications using ML/DL frameworks like PyTorch, ONNX Runtime, DirectML preferred.
- 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.
- Understanding Machine Learning, Deep Neural Networks, and Generative AI with meaningful contributions to major open-source projects will be a plus.
- Proficiency in lower-level system/GPU programming, CUDA, and developing high-performance systems.
- Hands-on experience with building applications using graphics APIs like OpenGL, DirectX, Vulkan, etc.
- Proven track record of delivering end-to-end products with geographically distributed teams in multinational product companies.
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