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
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. You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until June 8, 2026. This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
Additional Information
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!
Nvidia · CA