Senior Technical Program Manager – DFX Engineering at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

SemiconductorIndustries

Requirements

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

Responsibilities

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

Skills

Key technologies and capabilities for this role

DFXDFTASICSoCRTLPythonEDA toolsCADscriptingautomationproject scheduling

Questions & Answers

Common questions about this position

What is the salary range for this Senior Technical Program Manager role?

The base salary range is 160,000 USD - 253,000 USD for Level 4, and 192,000 USD - 304,750 USD for Level 5, determined based on location, experience, and pay of employees in similar positions. You will also be eligible for equity and benefits.

Is this position remote or hybrid?

This is a hybrid role.

What are the key required skills for this role?

Candidates need a BS/MS in Electrical or Computer Engineering, 8+ years in semiconductor program management or engineering leadership, strong understanding of ASIC/SoC design flows from RTL-to-release, experience scripting or automating workflows (Python preferred), and strong communication and organizational skills in fast-paced environments.

What is the company culture like at NVIDIA for this role?

You'll collaborate with individuals who exhibit outstanding problem-solving skills in a diverse work environment, leading programs that impact GPU and SoC innovation at the intersection of engineering excellence, automation, and execution leadership.

What makes a candidate stand out for this position?

Stand out with background in DFX, DFT, or datacenter-class silicon testability, experience with EDA tool data analytics, APIs, or dashboards, and a track record of implementing automation or process improvements at scale.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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