Senior Design Verification Engineer - Hardware
NVIDIAJob Title
Senior Design Verification Engineer - Hardware
Role Summary
The Senior Design Verification Engineer will develop and execute verification plans and testbenches for IP and SoC hardware in the MMPLEX team based in Shanghai. The role focuses on functional verification, coverage analysis, regression infrastructure, and automation to ensure product quality across NVIDIA product lines.
Work spans IP-level verification, SOC full-chip environments, and verification methodology improvement to increase automation and productivity.
Experience Level
Senior — typically requires 5+ years of industry verification experience.
Responsibilities
Primary responsibilities include building verification environments, running regressions, and improving verification methodology and infrastructure.
- Develop test plans from design specifications and review them with architects and designers.
- Implement block/IP testbenches using UVM and appropriate HVLs.
- Create and maintain regression flows, run regressions, triage failures, and support designers with root cause analysis.
- Collect and monitor verification metrics (pass rate, functional coverage) and report health.
- Analyze functional and code coverage to identify holes and work with design teams to improve coverage.
- Perform SoC-level verification in full-chip test environments for IPs.
- Research and deploy advanced verification methodologies and automation to improve productivity.
Requirements
Must-have technical skills and experience; nice-to-have items are listed separately.
- Must-have: 5+ years of practical verification experience (industry); strong experience with verification flow including testplan, testbench, coverage models, and BFM modeling.
- Deep understanding of Verilog and one or more high-level verification languages (HVL).
- Familiarity with advanced verification methodologies, tools, and flows (UVM experience required).
- Experience building and maintaining regression infrastructure and coverage-driven verification.
- Ability to triage regression failures and collaborate with designers to resolve functional issues.
- Nice-to-have: Strong programming skills in Python and/or C/C++; scripting experience in Perl, Shell, or Ruby is a plus.
- Architectural or design experience is a significant advantage.
Education Requirements
MS in Electrical Engineering, Computer Engineering, or a related technical field preferred, 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.
