The Senior Deep Learning Engineer at NVIDIA will focus on advancing artificial intelligence capabilities through the development of next-generation inference optimizations. This role involves characterizing emerging workloads and creating novel optimization methods across various inferencing engines and hardware architectures. The engineer will work closely with diverse teams to maximize the efficiency of AI datacenters and contribute to algorithmic improvements. A growth mindset and pragmatic attitude are essential for success in this high-impact, interdisciplinary environment.

• Master's degree or equivalent experience in Computer Science, Artificial Intelligence, Applied Mathematics, or related fields.
• A strong foundation in deep learning, particularly in generative models and inferencing.
• At least 5 years of relevant software development experience in modern deep learning frameworks such as PyTorch.
• A growth mindset and pragmatic attitude.

• Continuously keep up to date on the latest advancements in generative AI research.
• Analyze and prototype emerging workloads in multi-agent AI systems, generative multimodal models, and inference-time compute scaling.
• Pioneer and develop optimizations for these workloads across the inference stack to enhance inferencing quality and speed on NVIDIA systems.
• Collaborate closely with production teams to incorporate the latest advancements into cutting-edge software frameworks.

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.