NVIDIA is seeking a Senior Deep Learning Hardware Modeling Architect to join their innovative team focused on enhancing AI inference performance. This role involves collaborating on hardware-software co-design to optimize the speed and efficiency of LLM inference solutions. The ideal candidate will have a strong background in C++ hardware modeling and a passion for advancing AI technology. This position offers the opportunity to work on critical components that influence state-of-the-art AI systems.

• A BS or higher degree in a relevant field such as Computer Science, Electrical Engineering, or Mathematics, or equivalent experience.
• 5+ years of relevant experience in hardware modeling.
• Expert programming and software skills in C++.
• Experience in RTL design and/or architecture with an understanding of common chip design concepts.
• An automation-centered mindset and a desire to improve work efficiency using AI.

• Drive architectural specifications to closure across multiple stakeholders.
• Develop written specifications for key component-level and system-level designs.
• Embody specifications in an executable model used by many customers across NVIDIA.
• Ensure high performance using good C++ software practices, solid algorithms and data structures, and parallelism.
• Resolve performance and correctness issues across chip and hardware subsystems by collaborating with various 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.