Senior ASIC Design Verification Infrastructure and Tools Engineer — GPU

Job Title

Senior ASIC Design Verification Infrastructure and Tools Engineer — GPU

Role Summary

Advance systems that qualify, integrate, and deliver complex ASIC IP across multiple GPU products. Work on high-speed I/O integration, pre-submit qualification, CI, metrics, automation, and debug workflows to improve reliability and engineering efficiency.

Experience Level

Senior — typically 5+ years of relevant industry experience.

Responsibilities

Deliver and maintain infrastructure, automation, and tools that accelerate ASIC integration and verification.

• Apply practical AI workflows to debugging, run triage, summarization, documentation, and workflow automation.
• Build and improve high-speed I/O integration, build, simulation, and pre-submit qualification flows for large ASIC IP development.
• Improve CI reliability, turnaround time, debuggability, and scalability across distributed compute environments.
• Root-cause complex failures across verification, build systems, tools, infrastructure, and compute environments.
• Automate recurring integration or qualification problems and implement durable process improvements.
• Define, publish, and use metrics for integration latency, flow health, failure trends, and engineering efficiency.
• Use metrics to guide priorities, forecast risk, and optimize operational systems.
• Collaborate with ASIC designers, verification engineers, firmware teams, methodology teams, and infrastructure partners.
• Investigate unfamiliar technical areas and drive ambiguous problems to closure.

Requirements

Must-have technical skills and experience.

• 5+ years of relevant industry experience in ASIC development or verification infrastructure.
• Strong understanding of ASIC development workflows: builds, simulation, regressions, debug, integration, and qualification.
• Experience with verification methodology such as UVM or similar.
• Strong working knowledge of Verilog/SystemVerilog and pre-silicon verification/debug.
• Exposure to industry simulation and debug tools (e.g. VCS, Verdi, Xcelium) or similar.
• Strong programming/scripting skills (Python, Perl, or similar).
• Experience with SystemVerilog object-oriented verification environments.
• Strong root-cause analysis skills for intermittent or hard-to-isolate infrastructure failures.
• Self-directed execution: ability to investigate across domains and deliver solutions for loosely defined problems.

Nice-to-have:

• Practical experience applying AI tools to engineering workflows (debug automation, summarization, tool-assisted development).
• Passion for infrastructure, automation, and driving cross-domain efficiency gains.
• Experience providing ASIC IP for multiple products or SoCs simultaneously.
• Strong habits around defining and using data-driven metrics.

Education Requirements

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