Senior Architect, GPU and SoC Modelling
NVIDIAJob Title
Senior Architect, GPU and SoC Modelling
Role Summary
Work on modeling, analysis, and validation of GPU and SoC architectures and features within the Architecture Modelling group. Collaborate across modelling teams to design, implement, and verify functional and performance models and related tooling.
Deliver simulation and analysis tools, develop test infrastructure, perform coverage analysis, mentor junior engineers, and evaluate new modelling techniques including AI-based tooling to improve efficiency.
Experience Level
Senior — typically 8+ years of relevant industry experience, or MS with 5+ years, or PhD with 3+ years.
Responsibilities
Primary responsibilities include delivering models, tools, and validation for GPU/SoC features and supporting the modelling lifecycle.
- Design, implement, and analyze graphics and SoC models (functional and performance).
- Develop simulation and analysis tools, test plans, and testing infrastructure.
- Implement feature support in existing models and validate correctness and performance.
- Perform code coverage analysis and reporting.
- Collaborate across teams in a matrixed environment to document and integrate models.
- Mentor junior engineers and promote good coding practices.
- Evaluate and adopt new modelling techniques and frameworks; help develop AI-based efficiency tools.
Requirements
Must-have technical skills; preferred items noted.
- Strong programming in C++ and C; familiarity with build systems (CMake, make), compilers/toolchains (GCC, MSVC), and libraries (STL, Boost).
- Solid background in computer architecture and performance modelling.
- Experience with testing, test plans, and building testing infrastructure; code coverage analysis.
- Familiarity with Docker, Jenkins, Python, and Perl.
- Strong communication skills and ability to work in distributed teams; experience mentoring engineers.
- Nice-to-have: Experience modeling with SystemC & TLM.
Education Requirements
Bachelor's degree (or equivalent practical experience) in Computer Science, Electrical Engineering, Computer Engineering, or a related technical field. Alternatives accepted: MS with relevant experience or PhD with relevant experience.
About the Company
Company: NVIDIA
Headquarters: Santa Clara, California, USA
NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.
