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
You will also be eligible for equity and benefits.
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
- Master's or PhD in Computer Science, Electrical Engineering, Computer Engineering, or related field, or equivalent experience with 5+ years
- 5+ years of relevant work experience in architecture modeling or simulation
- Strong programming ability in C++ and C
- Good understanding of build systems (CMake, make), toolchains (GCC, MSVC), and libraries (STL, Boost)
- Computer architecture background with modelling experience using SystemC and TLM
- Familiarity with Docker, Jenkins, Python, and Perl
- Excellent communication and interpersonal skills and 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.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
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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