Senior GPU Functional Modeling Architect

at Nvidia

USD 152,000-287,500 per year

SENIOR

✅ On-site

Tech Stack
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1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI Communication @ 6 Debugging @ 7 Deep Learning GPU LangChain @ 6 Machine Learning @ 6 Perl @ 6 PyTorch @ 6 Python @ 6 Robotics TensorFlow @ 6

Details

NVIDIA's work focuses on visual and AI computing. The company pioneered visual computing through the invention of the GPU, which is used for computer graphics, deep learning, robotics, and self-driving technologies.

NVIDIA's Architecture Modeling group is seeking architects, functional modeling engineers, and simulation experts to support GPU architecture efforts. The role involves working with architects and engineering teams to enable functional simulation platforms across GPU generations.

Responsibilities

Model GPU architecture, baseboard components, and other features.
Work across modeling teams in a matrixed environment to document, design, develop, analyze, simulate, validate, and verify models.
Become familiar with NVIDIA's functional and performance simulation models and implement new modeling features.
Develop tests, test plans, and testing infrastructure for new architectures and features.
Guide improvements to the simulation platform and expand resources supporting future GPU architectures.
Develop or use AI to support day-to-day tasks.

Requirements

Bachelor's, master's, or doctoral degree, or equivalent experience, in Computer Science, Electrical Engineering, Computer Engineering, or a related field.
5 or more years of experience in related areas.
Proficiency in C++, C, and scripting languages such as Python or Perl.
Strong background in computer architecture, with modeling experience; SystemC and TLM experience preferred.
Proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, and LangChain.
Strong problem-solving and debugging skills, with a record of driving issues to closure.
Effective communication and interpersonal skills, including the ability to work successfully in a distributed team environment.
Strong collaboration skills with design and engineering teams.

Compensation and Benefits

Base salary range of $152,000–$241,500 for Level 3.
Base salary range of $184,000–$287,500 for Level 4.
Base salary is determined based on location, experience, and the pay of employees in similar positions.
Eligible for equity and benefits.
Applications will be accepted at least until July 31, 2026.
NVIDIA is an equal opportunity employer and is committed to fostering an inclusive work environment.
NVIDIA uses AI tools in its recruiting processes.