NVIDIA

NVIDIA

Posted via Workday

Senior Architect, SOC Modeling

Posted Aug 5, 2026

Role at a glance

Job function
Engineering & R&D Computer Hardware Engineering
Salary
Not Disclosed
Location
Santa Clara, California, United States
Work arrangement
On-site
Employment
Full-time
Experience
with 5+ years of relevant work experience.
Education
Master’s or PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related relevant field (or equivalent experience).

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Qualifications

Requires a master’s or PhD in a relevant field or equivalent experience, at least 5 years of relevant work experience, strong C++ and C programming ability, and familiarity with build systems, toolchains, libraries, Docker, Jenkins, Python, and Perl. Also requires strong communication and interpersonal skills and the ability to work in a distributed team environment.

Preferred

  • Computer Architecture background with experience in modelling with SystemC & TLM.

About the role

Original posting provided by NVIDIA

View original

NVIDIA Architecture Modeling group is looking for Architects, Functional Modeling Engineers, and Simulation experts to join various architecture efforts across GPU/ SOC Architecture teams. A key part of NVIDIA's strength is to innovate in parallel computing fields, delivering the highest performance in the world for high-performance computing. We are constantly looking for ways to improve our SoC and Systems architecture and maintain our leadership. In this position, you will be working with other world-class architects on modeling, analysis and validation of chip & system architectures and features that advance the state of art in performance and efficiency.


What you'll be doing:

  • Modeling and analysis of SoC & Systems algorithms and features, across datacenter, automotive, and client products

  • Build and deliver platforms for SOC's that enable left shift for the SW teams aligned with project milestones

  • Work closely with the SOC architects and guide modeling teams to deliver high-quality functional models that involve SOC+GPU use cases

  • Collaborate with our EDA partners to align on customer-facing technologies

  • Develop tests, test plans, and testing infrastructure for new architectures/features and code coverage analysis and reporting

  • Ensure alignment between the various modeling teams at NVIDIA, GPU modeling teams, and modeling teams overseas

What we need to see:

  • Master’s or PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related relevant field (or equivalent experience) with 5+ years of relevant work 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 modelling with SystemC & TLM preferred

  • Familiarity with Docker, Jenkins, Python, Perl

  • Excellent communication and interpersonal skills and ability to work in a distributed team environment

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 September 27, 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.

NVIDIA

About the company

NVIDIA

Large Enterprise

NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.