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About the Role

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 is ideal for an RTL compose or pre-silicon verification engineer who has developed a strong interest in infrastructure, automation, CI, metrics, and efficiency tooling. You will work across build, verification, firmware, methodology, and infrastructure teams to make sophisticated engineering systems faster, more reliable, and easier to reason about. You’ll also have access to innovative AI efficiency tools, and we’re looking for someone excited to help us apply them effectively.

Responsibilities

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.

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

Skills

Infrastructure
Automation
CI
Metrics
Efficiency tooling
AI workflows
Debug assistance
Run triage
Summarization
Documentation
Workflow automation
High-speed IO integration
Build flows
Simulation flows
Pre-submit qualification flows
CI reliability
Turnaround time
Debuggability
Scalability
Distributed compute environments
Root-cause analysis
Verilog
SystemVerilog
RTL development
Pre-silicon verification
Pre-silicon debug
VCS
Verdi
Xcelium
Python
Perl
Scripting
Systems programming
Object-oriented verification environments
Intermittent failure analysis
Hard-to-isolate infrastructure failure analysis
Self-directed execution
Problem investigation
Domain investigation
Solution delivery
Established passion for infrastructure
Established passion for automation
Driving efficiency gains
Curiosity about complex systems
Cross-domain problem solving
Practical AI tool application
Tool-assisted development
Engineering habits
Data-driven decision making
Signal definition
Technical conversation skills
System optimization
ASIC IP delivery

Experience Level

Senior
5+ years of relevant industry experience

Education Level

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

Salary/Compensations

136,000 USD – 218,500 USD for Level 3
168,000 USD – 264,500 USD for Level 4

Benefits

Equity
Benefits

About the Company

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years.
It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.
Today, we’re tapping into the unlimited potential of AI to define the next era of computing.
An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world.
Doing what’s never been done before takes vision, innovation, and the world’s best talent.
As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work.
Come join the team and see how you can make a lasting impact on the world.
NVIDIA uses AI tools in its recruiting processes.

Equal Opportunity

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer.
As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.