英伟达SOC Methodology Engineer - New College Grad 2026

任职要求

• CS/EE/CE/AE
• Proficient in scripting languages ​​such as Python, Perl, and JavaScript.
• Experience in web front-end and back-end development, familiar with major databases.
• Proficient in writing and debugging Makefiles.
• Mastery of dependency decoupling techniques.
• Fluent in written and spoken English, adept at cross-team communication and building consensus.

Ways to stand out from the crowd:
• Basic ASIC knowledge.
• Experience in FLOW/Methodology development.
• Background in AI application development.
• Experience in integrated circuit-related CAD projects, such as CDC/RDC checking, static analysis, and simulation regression management.

工作职责

The NVIDIA ASIC/SoC team is seeking a CAD/Infra Engineer with a passion for optimizing design, verification, and architecture processes. This position will focus on developing innovative automation and intelligent tools to standardize team workflows and improve overall efficiency and quality. The ideal candidate will possess web development experience, strong programming skills, and excellent communication skills. Candidates with a background in AI application development or fundamental ASIC knowledge will be preferred.
What you’ll be doing:
• Gain a deep understanding of NVIDIA's design, verification, and architecture development environments, execution processes, and decision-making methodologies.
• Collaborate with IP design, verification, and architecture engineers to identify existing process bottlenecks and explore infrastructure improvement solutions; clarify requirements and select appropriate methodologies for developing infrastructure processes and tools.
• Participate in the implementation of ASIC/SoC architecture partitioning strategies for multiple NVIDIA chips.
• Responsible for the establishment and management of the hardware development environment (Tree).
• Maintain and develop automated and intelligent infrastructure processes and tools, including GUI-based web systems and other graphical applications, as well as AI-based/automated regression and analysis processes, to provide an efficient development environment for design, verification, and architecture.
• Research leading design and verification tool flows within NVIDIA and the industry, and develop new applications based on these flows to address new challenges facing the team.