Senior Technical Program Manager – DFX Engineering

Posted 18 Days Ago
Be an Early Applicant
Santa Clara, CA
In-Office
160K-305K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead DFX engineering programs for chip designs, ensuring program execution from pre-silicon to release, coordinating schedules, and improving workflow efficiency.
Summary Generated by Built In

We seek a Senior Technical Program Manager to lead Design-for-Test (DFX) engineering programs for our next-generation chip designs. This role sits at the intersection of silicon design, bring-up, and manufacturing test, driving product quality and scalability innovation. You'll own the full program lifecycle from pre-silicon through release, ensuring flawless execution, efficiency, and predictability across teams. Combining strong technical depth with program leadership will help accelerate tape-out cycles and optimize testability across NVIDIA's cutting-edge silicon programs.
 

What You'll Be Doing:

  • Drive DFX program execution from pre-silicon through product release, ensuring timely delivery and alignment across development, verification, test, and operations.

  • Develop detailed project schedules and workflows, coordinating milestones, dependencies, and scope changes.

  • Partner with engineering and CAD teams to automate tracking, reporting, and data integration, improving clarity and efficiency.

  • Identify and mitigate technical or schedule risks early, providing clear, data-driven updates to leadership.

  • Gather lessons learned and standardize best practices to strengthen future programs.

What We Need to See:

  • BS/MS in Electrical or Computer Engineering (or equivalent experience).

  • 8+ years of experience in semiconductor program management or engineering leadership.

  • Strong understanding of ASIC/SoC design, verification, bring-up, and productization flows (RTL-to-release).

  • Experience scripting or automating workflows (Python preferred).

  • Strong communication and organizational abilities; flourishes in fast-paced, multi-functional atmospheres.

Ways to Stand Out from the crowd:

  • Background in DFX, DFT, or datacenter-class silicon testability.

  • Experience with EDA tool data analytics, APIs, or dashboards for program management.

  • Consistent track record of implementing automation or process improvements at scale.

At NVIDIA, you'll collaborate with individuals who consistently exhibit outstanding problem-solving skills, contributing to the advancement of accelerated computing. You'll lead programs directly impacting GPU and SoC innovation—transforming how silicon is designed, validated, and delivered at scale. If you thrive at the intersection of engineering excellence, automation, and execution leadership, we want to hear from you.

 

#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 160,000 USD - 253,000 USD for Level 4, and 192,000 USD - 304,750 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 20, 2025.NVIDIA is committed to fostering a diverse 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.

Top Skills

Python
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

Similar Jobs

Hinge Logo Hinge

Staff Product Designer

Artificial Intelligence • Machine Learning • Mobile • Other • Social Impact • Software • App development
Easy Apply
Hybrid
3 Locations
305 Employees
200K-260K Annually

Hinge Logo Hinge

Senior Software Engineer

Artificial Intelligence • Machine Learning • Mobile • Other • Social Impact • Software • App development
Easy Apply
Hybrid
Palo Alto, CA, USA
305 Employees
205K-260K Annually

Hinge Logo Hinge

Senior Product Manager

Artificial Intelligence • Machine Learning • Mobile • Other • Social Impact • Software • App development
Easy Apply
Hybrid
Palo Alto, CA, USA
305 Employees
170K-200K Annually

Hinge Logo Hinge

Senior Data Scientist

Artificial Intelligence • Machine Learning • Mobile • Other • Social Impact • Software • App development
Easy Apply
Hybrid
Los Angeles, CA, USA
305 Employees
160K-170K Annually

Similar Companies Hiring

Credal.ai Thumbnail
Software • Security • Productivity • Machine Learning • Artificial Intelligence
Brooklyn, NY
Standard Template Labs Thumbnail
Software • Information Technology • Artificial Intelligence
New York, NY
10 Employees
Scotch Thumbnail
Software • Retail • Payments • Fintech • eCommerce • Artificial Intelligence • Analytics
US
25 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account