Senior Deep Learning Hardware Modeling Architect - LPU

NVIDIA seeks a Senior DL Hardware Modeling Architect to join our group of pioneers who are pushing the performance boundaries of AI inference. Our team focuses on ambitious hardware-software co-design to optimize AI inference speed and efficiency. This role gives an outstanding opportunity to model critical components of our world-class LLM inference solutions. If you are passionate about LLM inference hardware, want to contribute at the deepest levels to the state of the art, and have a proven record of C++ hardware modeling experience, this role may be perfect for you!

What you’ll be doing:

• 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 working across teams.

• A BS or higher degree in a relevant field (CS, EE, Math) or equivalent experience, with 5+ years of relevant experience.
• Expert programming and software skills in C++.
• Experience in RTL design and/or architecture with the ability to understand common chip design concepts.
• An automation-centered mindset.
• A desire to improve work efficiency using AI.

Ways to stand out from the crowd:

• Experience with systems-level/architectural/chip modeling, profiling, and analysis.
• Strong combined RTL and C++ skillset.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.