Senior Verification Engineer

Job Title

Senior Verification Engineer

Role Summary

Join the Display Verification team to develop verification plans, build UVM-based infrastructure, and lead verification sign-off for GPU and SoC display IP. Work with architects and ASIC engineers to deliver silicon-proven display engines used across consumer, professional, automotive, and AI products.

This role emphasizes technical leadership, cross-site collaboration, and automation to increase verification throughput and quality.

Experience Level

Senior — 10+ years of relevant verification or ASIC experience.

Responsibilities

Primary responsibilities include ownership of verification strategy, testbench and infrastructure development, and cross-team debugging and sign-off.

• Define verification scope and develop functional and performance testplans; drive coverage closure and metrics tracking.
• Design and implement UVM/SystemVerilog testbenches, checkers, and C/C++ reference testbenches and models.
• Build and maintain scalable verification infrastructure; leverage AI and automation to reduce repetitive work and accelerate debug.
• Debug complex failures, root-cause issues, and support silicon bring-up and post-silicon verification.
• Collaborate with architects, ASIC engineers, external partners, and customers to resolve system-level integration issues.
• Validate display protocols, MMU/SMMU behavior, and system low-power sequences in integration contexts.

Requirements

Must-have technical skills and experience.

• 10+ years of relevant verification experience, ideally on shipped silicon.
• Strong hands-on expertise in UVM, SystemVerilog, and Verilog; experience with constrained-random stimulus, functional coverage, and assertions.
• Proficiency in Python and C/C++ for testbenches, debug models, and tooling.
• Experience with industry EDA and debug tools (eg. VCS, Verdi/Debussy, GDB) and strong software engineering practices (version control, code review, maintainable code).
• Domain knowledge of display pipelines and protocols (DisplayPort, HDMI, MIPI DSI/CSI), MMU interactions, and system low-power features.
• Ability to reason about architecture, influence micro-architecture decisions, and communicate effectively across teams and time zones.
• Self-starter with experience using AI/automation to improve verification productivity.

Education Requirements

BS or MS in Electrical Engineering, Computer Engineering, Computer Science, or a related 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.