NVIDIA is seeking a Senior ASIC Compose Verification Infrastructure and Tools Engineer to enhance the systems that qualify, integrate, and deliver complex ASIC IP across multiple products. This role focuses on improving automation, CI, metrics, and efficiency tooling within the high-speed IO infrastructure team. The ideal candidate will work collaboratively across various teams to streamline engineering systems and apply innovative AI tools effectively. This position offers the opportunity to make a significant impact in the field of ASIC development.

• 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.
• Self-directed execution ability to take a loosely defined technical problem, investigate across domains, and deliver a working solution.

• Apply practical AI workflows where they build leverage, including debug assistance, run triage, summarization, documentation, and workflow automation.
• Build and improve high-speed IO 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 development, verification, build systems, tools, infrastructure, and compute environments.
• Turn recurring integration or qualification difficulties into durable automation and process improvements.
• Define, publish, and actively use metrics for integration latency, flow health, failure trends, and engineering efficiency.
• Bring metrics into engineering discussions to guide priorities, forecast risk, and optimize the systems we operate.
• Collaborate with ASIC designers, verification engineers, firmware engineers, methodology teams, and infrastructure partners.
• Dive into unfamiliar technical areas, understand how the system works end to end, and drive ambiguous problems to closure.

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.