Chip Modeling Architect
NVIDIAJob Title
Chip Modeling Architect
Role Summary
Design and build cycle-accurate network simulation and performance models to guide architecture and micro-architecture decisions for high-performance network ASICs. The role works across hardware and software teams to define end-to-end network adapter architecture and validate design choices throughout the product lifecycle.
Experience Level
Mid-level (3–7 years). The posting specifies 4+ years in a relevant chip architecture or system integration role; 5+ years is listed as a distinguishing factor.
Responsibilities
Primary responsibilities include:
- Define network adapter chip architecture end-to-end from market requirements through design and product lifecycle (pre-/post-silicon and deployment).
- Collaborate with cross-functional teams: physical design, logic design, system software, firmware, and applications.
- Develop cycle-accurate simulation components to evaluate and analyze micro-architecture and architectural options.
- Explore and validate ideas to improve system and chip performance.
- Act as a technical focal point and distribute knowledge across the organization.
Requirements
Must-have and preferred qualifications.
Must-have:
- Experience developing simulation models.
- 4+ years of relevant experience in chip architecture or system integration.
- Knowledge of computing and networking systems.
- Strong debugging skills and attention to design quality.
- Good interpersonal skills and ability to learn complex concepts quickly.
Nice-to-have:
- Experience with system architecture across CPU/GPU/Memory/Storage/Networking.
- Experience with network simulation tools such as OMNeT, ns-3, SST, or gem5.
- 5+ years of practical experience (listed as a differentiator).
Education Requirements
Bachelor's or Master's degree in Electrical Engineering or Computer Science from a recognized university. A master's degree is listed as a way to stand out.
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.
