NVIDIASenior GPU Functional Modeling Architect
NVIDIA is hiring a Senior GPU Functional Modeling Architect in Santa Clara, United States. It pays $152k-$242k a year and Level rates it ; you can apply on NVIDIA.
Level's read on this job
- Builds AI ●●●● is how Level rates this role: the job is building AI systems.
- Tools and skills the posting cites include LangChain, PyTorch and TensorFlow.
- Level classifies it as a senior role.
- Level lists 2,600+ other open roles at NVIDIA.
AI in this role
Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team!
NVIDIA Architecture Modeling group is looking for Architects, Functional Modeling Engineers, and Simulation experts to join various architecture efforts across GPU Architecture teams. In this position, you will be working with other world-class architects on enabling functional simulation platforms across GPU generations.
What you’ll be doing:
- Modeling of GPU architecture, baseboard components and other features
- Work in a matrixed environment, across the different modeling teams, to document, design, develop tools to analyze and simulate, validate and verify models
- Familiarize with different functional and performance simulation models across Nvidia and work through modeling features
- Develop tests, test plans and testing infrastructure for new architectures/ features
- Guide the improvement of the simulation platform and expand other resources to support future GPU architectures
- Develop or use AI to help with day-to-day tasks
What we need to see:
- BS, MS, PhD or equivalent experience in Computer Science, Electrical Engineering, Computer Engineering, or a related field with 5+ years of experience in related areas
- Proficient programming skills in C++, C, and scripting languages such as Python or Perl.
- Solid background in Computer Architecture with experience in modeling (System C & TLM preferred)
- Proficiency in Python and ML frameworks like PyTorch, TensorFlow, and LangChain
- Strong problem-solving and debugging skills, with a track record of driving issues to closure
- Effective communication and interpersonal skills, with the ability to work successfully in a distributed team environment
- Strong collaboration skills with design and engineering teams
#ArchitectYourFuture
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: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 November 3, 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.How we rate this
Senior GPU Functional Modeling Architect at NVIDIA rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- What's a project where you used LangChain hands-on?
- Walk me through how you've used PyTorch in your day-to-day work.
- What are the limits of TensorFlow that you've run into, and how did you work around them?
- How would you decide a model or AI system is ready to ship?
- Tell me about a time a model underperformed in production. How did you find out, and what did you change?
Adapt your resume
- List these exact terms on your resume: LangChain, PyTorch, and TensorFlow. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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