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NVIDIA

Senior ASIC Design Verification Infrastructure and Tools Engineer – GPU

NVIDIA
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senior full-time

First indexed 13 Aug 2026

Description

NVIDIA is seeking a Senior ASIC Compose Verification Infrastructure and Tools Engineer to advance the systems that qualify, integrate, and deliver complex ASIC IP across multiple products.

This role involves working on high-speed IO infrastructure, developing flows for integration automation, pre-submit qualification, build and verification infrastructure, operational metrics, and debug workflows.

Key responsibilities include:

  • Applying practical AI workflows to build leverage in areas such as debug assistance, run triage, summarization, documentation, and workflow automation.
  • Building and improving high-speed IO integration, build, simulation, and pre-submit qualification flows for large ASIC IP development.
  • Improving CI reliability, turnaround time, debuggability, and scalability across distributed compute environments.
  • Root-causing complex failures across development, verification, build systems, tools, infrastructure, and compute environments.
  • Turning recurring integration or qualification difficulties into durable automation and process improvements.
  • Defining, publishing, and actively using metrics for integration latency, flow health, failure trends, and engineering efficiency.
  • Collaborating with ASIC designers, verification engineers, firmware engineers, methodology teams, and infrastructure partners.

Requirements:

  • BS or MS in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience.
  • 5+ years of relevant industry experience.
  • Strong understanding of ASIC development workflows, including builds, simulation, regressions, debug, integration, and qualification.
  • Experience with verification methodology such as UVM or similar.
  • Strong working knowledge of Verilog/SystemVerilog, including RTL development or pre-silicon verification/debug experience.
  • Exposure to industry simulation and debug tools such as VCS, Verdi, Xcelium, or similar.
  • Strong programming skills in Python, Perl, or another scripting/systems programming language.
  • Experience with SystemVerilog and object-oriented verification environments.
  • Strong root-cause analysis skills, especially for intermittent or hard-to-isolate infrastructure failures.

NVIDIA offers equity and benefits to its employees.