We serve as the central program management function for NVIDIA's VLSI Engineering organization, providing the structure and insight needed to deliver world-class silicon. We align roadmaps across all silicon product lines, enabling technical leads to focus on engineering while we accelerate end-to-end execution! Through the integration of domain-specific workflows and intelligent infrastructure, we deliver automated schedule tracking, resource planning, and program health visibility across the full lifecycle-from Arch/RTL handoff through silicon bring-up and productization.
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
#LI-Hybrid
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 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 October 3, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
