What you'll be doing
In this role, you will work closely with DFX software and methodology engineers, development managers, and multi-functional partners to lead methodology programs and process improvements from concept through adoption.
Lead the end-to-end program lifecycle for DFX software methodology across infrastructure, implementation, verification, and bring-up — from requirements and specification through release, adoption, and continuous improvements
Build and lead roadmaps, schedules, and dependencies for DFX flow, tool, and infrastructure releases, aligning methodology drops to chip program milestones through development, tapeout, fab out, and bring-up
Drive the release and deployment process for DFX flows and tooling: version planning, regression and quality gates, migration paths, and user adoption across design teams
Collaborate with engineering teams to define requirements and document architecture, interfaces, and workflows; participate in key design reviews and handle scope changes efficiently
Coordinate license, and data infrastructure needs with CAD and IT partners so methodology programs scale with the portfolio
Lead verification and validation planning for methodology — pattern coverage, regression health, and sign-off criteria — and support silicon bring-up by prioritizing lab and field debug tooling needs
Proactively identify technical, resource, and schedule risks; develop mitigations in partnership with engineering, and provide clear status to leadership with recommendations that support tough trade-offs
Build metrics and dashboards for methodology health, adoption, and efficiency; capture takeaways, and drive process improvement through automation
What We Need To See
BS in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience (advanced degree a plus)
8+ years of combined experience, built on a software engineering or computer science foundation, including a minimum of 3 years of technical program management experience
Solid understanding of the ASIC/SoC design, verification, and bring-up/productization flow, and a clear understanding of where DFX fits: DFT insertion, scan/ATPG/MBIST, pattern verification, ATE and in-system test, and post-silicon debug
Experience managing software, tooling, or methodology programs — release cycles, quality gates, infrastructure dependencies, and user adoption — not just implementation schedules
Strong collaborative and interpersonal skills, specifically a proven track record to effectively guide and influence within a dynamic environment
Deep understanding of technology and passionate about what you do, with excellent judgment, strong problem solving skills, and strong communication — written and verbal
Understands and deals well with rapid development cycles and constant change; remains flexible and calm in the face of uncertainty
Ways To Stand Out From The Crowd
Familiarity with DFX methodologies is a strong plus
Proven experience scripting and automating tasks; proficiency in Python preferred
Knowledge of APIs and data analytics for program management and metrics dashboards
A track record of mentorship — bringing engineers or emerging program managers up to speed on methodology and program execution
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence.
#LI-Hybrid
- Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
- 168,000 USD – 258,750 USD for Level 4; and 200,000 USD – 322,000 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 3, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
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.
