NVIDIA is seeking a Senior Deep Learning Performance Architect to join a team focused on advancing AI Inference performance through hardware-software co-design. This role offers the opportunity to develop performance strategies, influence GPU architecture decisions, and drive AI innovation. Candidates should have a passion for optimizing AI efficiency and a strong background in modeling LLM performance. The position involves collaboration across various teams to shape the future of AI.

• A MS or PhD in a relevant field (CS, EE, Math) or equivalent experience with 5+ years of relevant experience.
• Strong mathematical foundation in machine learning and deep learning.
• Expert programming skills in C, C++, and/or Python.
• Familiarity with GPU computing (CUDA or similar) and HPC (MPI, OpenMP) stack.
• Strong knowledge and coursework in computer architecture.

• Design novel GPU and system architectures to advance AI Inference performance and efficiency.
• Construct, investigate, and test popular deep learning algorithms and applications.
• Understand and analyze the relationship between hardware and software architectures as it influences future algorithms and applications.
• Build efficient power and performance models of the AI inference stack.
• Collaborate across the company to guide the direction of AI, working with software, research, and product teams.

• 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.