Senior Technical Program Manager – DFX Software Methodology

NVIDIA Corporation; Santa Clara (CA); Hybrid; USD 168,000 - 322,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation in Santa Clara, California, seeks a Senior Technical Program Manager to lead the DFX software methodology programs across infrastructure, implementation, verification, and bring-up. You will build roadmaps, align with silicon milestones, and drive end-to-end program execution with DFX engineers and multi‑functional partners.

8+ years in software/PM, strong ASIC/SoC bring-up knowledge, and proven ability to manage releases, dependencies, and adoption are required.

Qualifications

• BS in CS/CE/EE or equivalent.
• 8+ years in software or TPM roles.
• Minimum 3 years of technical program management experience.
• Strong understanding of ASIC/SoC bring-up and DFX integration.
• Experience managing software/tooling or methodology programs (releases, gates, adoption).
• Ability to lead cross-functional teams and drive change.

Responsibilities

• Lead end-to-end DFX software methodology programs across infrastructure, implementation, verification, and bring‑up.
• Build roadmaps, schedules, and dependencies for DFX flow, tool, and infrastructure releases.
• Drive release and deployment processes for DFX flows, tooling, and adoption.
• Coordinate license and data infrastructure needs with CAD and IT partners for scalability.
• Lead verification planning, pattern coverage, regression health, and lab support for silicon bring‑up.
• Identify risks, propose mitigations, and communicate to leadership with data-driven recommendations.
• Develop metrics and dashboards for methodology health, adoption, and efficiency.

Skills

Leadership

Program management

Cross-functional

Software methodology

Communication

Problem solving

Communication

Education

BS in Computer Science/Engineering

Tools

Python

APIs

Data analytics

Job description

NVIDIA is now looking for a Senior Technical Program Manager to join our DFX engineering team and lead the software methodology programs that make our chips testable, debuggable, and manufacturable at scale — across infrastructure, implementation, verification, and silicon bring-up! 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. We serve as the central program management function for NVIDIA’sVLSI 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

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 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.

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.

NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry.

Learn more about NVIDIA.