Senior Architect, GPU and SoC Modeling

Reposted 2 Days Ago
Be an Early Applicant
Santa Clara, CA, USA
In-Office
184K-357K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Designs and models GPU and SoC architectures, develops simulation and analysis tools, validates functional and performance models, creates testing infrastructure, analyzes code coverage, evaluates modeling frameworks, and contributes to AI-based engineering tools. The role also involves cross-team collaboration, documentation, verification, and mentoring junior engineers.
Summary Generated by Built In

We are now looking for a Senior Architect for GPUs and SoCs:


The NVIDIA Architecture Modelling group is looking for architects and software developers to join our various architecture efforts. A key part of NVIDIA's strength is to innovate in the graphics and parallel computing fields, delivering the highest performance in the world for high-performance computing. We are constantly looking for ways to improve our GPU architecture and maintain our leadership. In this position, you will be working with other world-class architects on modeling, analysis and validation of chip architectures and features that advance the state of art in performance and efficiency.


What you'll be doing:

  • Modeling and analysis of graphics and / or SOC algorithms and features
  • Work in a matrixed environment, across the different modelling teams, to document, design, develop tools to analyze and simulate, validate, and verify models
  • Familiarize with the different models (functional and performance) that are used at Nvidia and help with feature implementation as required.
  • Develop tests, test plans, and testing infrastructure for new architectures/features.
  • Code coverage analysis and reporting
  • Mentor younger engineers and help sustain good coding practices.
  • Learn about newer modelling techniques and frameworks, evaluate the best solution for our needs and work with your manager to drive the change
  • Help develop AI based tools to increase efficiency.

What we need to see:

  • Bachelors Degree (or equivalent experience) in a relevant discipline (Computer Science, Electrical Engineering or Computer Engineering)
  • 8+ years of relevant work experience or MS with 5+ years of experience or PhD with 2+ years of experience
  • Strong programming ability: C++, C along with a good understanding of build systems (CMAKE, make), toolchains (GCC, MSVC) and libraries (STL, BOOST)
  • Computer Architecture background with experience in modeling with SystemC & TLM preferred
  • Familiarity with Docker, Jenkins, Python, Perl
  • Excellent communication and interpersonal skills and ability to work in a distributed team environment.

#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:
184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.

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.

Skills Required

  • Bachelor's degree or equivalent experience in Computer Science, Electrical Engineering, Computer Engineering, or a related discipline
  • 8+ years of relevant work experience, or a master's degree with 5+ years, or a PhD with 2+ years
  • Strong programming ability in C++ and C
  • Understanding of build systems including CMake and Make
  • Experience with GCC and MSVC toolchains
  • Experience with STL and Boost libraries
  • Computer architecture background
  • Experience modeling with SystemC and TLM
  • Familiarity with Docker, Jenkins, Python, and Perl
  • Excellent communication and interpersonal skills
  • Ability to work in a distributed team environment

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
  • Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
  • Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.

NVIDIA Insights

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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