Senior Architect, GPU and SoC Modelling

Nvidia · Bengaluru · 8+ yrs experience · Posted 2026-07-28

Tech stack: C, C++, Docker, Jenkins, Python

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About the role

NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life’s work , to amplify human creativity and intelligence. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join our diverse team and see how you can make a lasting impact on the world!
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 3+ 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.
NVIDIA is

Qualifications

- 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 3+ 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.

Responsibilities

- 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.

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