NVIDIA has continuously reinvented itself for over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the new era of computing, positioning GPUs as the driving force behind intelligent applications in productivity, gaming, and creative fields, solidifying NVIDIA's position as the leading "AI computing company."
There is a growing emphasis on processing AI computations at the edge, closer to the source of data. This approach reduces latency, improves real-time processing, and addresses privacy concerns by minimizing the need for data sending to centralized servers. As technology continues to advance, we can expect client-side AI (local execution) to play a pivotal role in crafting the digital landscape. WinAI seeks a Senior Systems Software Engineer interested in solving client-side AI challenges on Windows PCs with limited resources.
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.
We're a top employer known for innovation and growth. We are an equal-opportunity employer and value diversity at our company. With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we would like to hear from you.
Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
