Senior Deep Learning Hardware Modeling Architect - LPU

We are now looking for a Senior Deep Learning Hardware Modeling Architect!

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.

What we need to see:

• 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.

#LI-Hybrid

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.