NVIDIA is seeking a Senior Deep Learning Performance Architect to join their Deep Learning Architecture team. The role focuses on analyzing and developing architectures that enhance AI and high-performance computing applications. Candidates will work on optimizing deep learning workloads and building performance models to inform architecture decisions. This position offers an opportunity to contribute to cutting-edge technology in a rapidly growing field.

• MS or PhD in a relevant field such as Computer Science, Electrical Engineering, or Computer Engineering.
• 5+ years of hands-on experience in GPU/ASIC architecture, parallel computing, or system performance engineering.
• Experience with deep learning workloads in production environments, including training and inference.
• Proficiency in Python and C++ for building performance models and analysis tools.
• Solid understanding of system architecture, including memory hierarchy and data movement.

• Design and evaluate hardware architectures to improve performance, efficiency, and scalability of production AI workloads.
• Analyze and optimize large-scale deep learning workloads, particularly LLM inference and training.
• Build and use performance and power models in Python and C++ to drive architecture and product decisions.
• Identify and resolve system bottlenecks across compute, memory, and interconnect.
• Evaluate PPA trade-offs and guide feature prioritization for next-generation GPU and ASIC designs.
• Collaborate closely with software, systems, and product teams to align hardware capabilities with workload requirements.

• 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.