Senior Deep Learning Hardware Modeling Architect - LPU
At a glance
Senior AI Research role at NVIDIA. Remote, United States · full-time.
In listing AI Research salary
aimlroles summary, based on the employer's posting.
What you'll do
- Close architectural decisions with stakeholders, then turn component and system designs into written specifications
- Build executable models from those specifications for use by NVIDIA customers
- Apply C++ practices, algorithms, data structures and parallelism to keep models performing well
- Work across teams to fix speed and correctness problems spanning chips and hardware subsystems
What you bring
- At least five years of relevant experience and a relevant bachelor's degree or higher, or equivalent experience
- Expert-level C++ programming and software skills
- RTL design or architecture experience, with an understanding of common chip design concepts
Who this fits
This senior role suits someone focused on modeling hardware for LLM inference and comfortable working across teams. It is remote in the United States.
From the employer
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.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until August 10, 2026.This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.