Senior Architect, SOC Modeling
NVIDIAJob Title
Senior Architect, SOC Modeling
Role Summary
The Senior Architect, SOC Modeling will design, model, analyze and validate SoC and system architectures and features across datacenter, automotive, and client products. The role leads modeling efforts, delivers functional platforms to enable earlier software development, and coordinates across GPU, SOC and external EDA teams.
Experience Level
Senior-level — typically requires 5+ years of relevant experience.
Responsibilities
Primary responsibilities include architecture modeling, platform delivery, coordination, and validation.
- Model and analyze SoC and system algorithms and features across datacenter, automotive, and client domains.
- Build and deliver SoC platforms that enable earlier software development aligned with project milestones.
- Guide and coordinate modeling teams to produce high-quality functional models for SOC+GPU use cases.
- Develop tests, test plans, and testing infrastructure; perform code coverage analysis and reporting.
- Collaborate with EDA partners and internal GPU/modeling teams to align on technologies and customer-facing solutions.
- Ensure alignment across distributed modeling teams, including international groups.
Requirements
Must-have technical skills and experience.
- 5+ years of relevant experience in architecture, modeling, or simulation.
- Strong programming in C++ and C; familiarity with build systems (CMake, make), toolchains (GCC, MSVC) and libraries (STL, Boost).
- Experience with SystemC and TLM for architecture modeling is preferred.
- Familiarity with Docker, Jenkins, Python, and Perl.
- Experience developing tests, test plans, and test infrastructure; ability to perform coverage analysis and reporting.
- Excellent communication and interpersonal skills; ability to work in a distributed team environment.
Nice-to-have:
- Experience working with EDA tools and partners.
- Background in GPU or SoC architecture and systems-level performance/efficiency analysis.
Education Requirements
Master's or PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related technical field — or equivalent practical 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.
