NVIDIA Corporation

Senior Silicon Product Engineer, DFP - Manufacturing

NVIDIA Corporation$168K — $310K *
Manufacturing & Automotive
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • MS in Electrical Engineering, Computer Engineering, or related field (or equivalent experience)
  • 6+ years in silicon post-silicon validation and/or high-volume manufacturing test for complex SoCs, GPUs, CPUs, or similar
  • Hands-on experience with test content bring-up, limit setting, and yield/coverage optimization
  • Proficiency with scripting and data analysis (e.g., Python, MATLAB, R, SQL)
  • Excellent communication skills for technical documentation and test plans
  • Prior ownership of manufacturing test strategy for a major silicon product
  • Strong AI-enabled skills for analysis and documentation.

Responsibilities

  • Own end-to-end manufacturing test methodology across all test stages.
  • Translate system specs and product POR into DFP requirements and test plans.
  • Define and maintain the DFP roadmap including infrastructure and planning.
  • Partner cross-functionally to implement test content and debug improvements.
  • Drive alignment on manufacturability and cost vs. coverage trade-offs.
  • Embed testability requirements into design.
  • Define data and analytics frameworks for yield analysis and continuous improvement.
  • Lead DFP documentation as the single source of truth.

Benefits

  • Eligible for equity and comprehensive benefits package.
Full Job Description
The DFP Engineer - Manufacturing role defines and implements the validation and screening of new silicon features within high-volume manufacturing flows. You will translate product requirements into executable test methodologies, infrastructure, and detailed manufacturing test plans that ensure quality, yield, and efficiency at scale. This role sits at the intersection of multiple multi-functional teams to make manufacturing test an outstanding part of the overall codesign and DFP lifecycle.

What you will be doing:
  • Own end-to-end manufacturing test methodology across all test stages.
  • Translate system specs and product POR into DFP requirements, test content, coverage, and flows.
  • Define and maintain the DFP roadmap, including infrastructure and turning point planning.
  • Partner multi-functionally to implement test content, debug hooks, and coverage improvements.
  • Drive alignment on manufacturability, test time, binning strategies, and cost vs. coverage trade-offs.
  • Embed testability requirements into design to enable robust screening and debug.
  • Define data and analytics frameworks to support yield analysis and continuous improvement.
  • Lead DFP documentation as the single source of truth and feed findings into future methodologies.


What we need to see:
  • MS in Electrical Engineering, Computer Engineering, or related field (or equivalent experience)
  • 6+ years in silicon post-silicon validation and/or high-volume manufacturing test for complex SoCs, GPUs, CPUs, or similar.
  • Hands-on experience with test content bring-up, limit setting, correlation to characterization, and yield/coverage optimization.
  • Proficiency with scripting and data analysis (e.g., Python, MATLAB, R, SQL) for test data analytics, limit tuning, and yield/debug analysis.
  • Demonstrated ability to drive multi-functional alignment around plans, dependencies, and sign-off criteria.
  • Excellent communication skills and comfort authoring structured technical documents and test plans used by global manufacturing and validation teams.
  • Strong AI-enabled skills and thinking - Use AI to accelerate analysis, exploration, and documentation, but also maintain rigor, originality, and judgment that do not come from AI.
  • Prior ownership of manufacturing test strategy for a major silicon product (e.g., GPU/SoC/CPU) from early planning through ramp to QS/production.


Ways to stand out from the crowd:
  • Integrate AI tools (LLMs, copilots, intelligent search) into daily workflows to explore architectures, test strategies, and design options.
  • Use AI to accelerate documentation, DFP development, and creation of scripts and data-analysis tools for optimized coverage and HVM enablement.
  • Apply strong engineering judgment-know when to trust AI outputs, verify against specs/data, or override them.
  • Build AI-assisted validation and debug workflows (e.g., log triage, anomaly detection, pattern recognition, data analysis).
  • Share effective methods, prompts, and tools to elevate team efficiency while maintaining technical rigor.


#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 - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 29, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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