Principal Product Development Engineer

Posted 14 Days Ago
Be an Early Applicant
Santa Clara, CA, USA
In-Office
240K-380K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead technical strategy and execution to move deep-submicron mixed-signal CMOS designs from validation into high-volume manufacturing. Drive yield architecture, test optimization, DFT/DFM/BIST strategies, parametric and mixed-signal characterization, root-cause analysis, and automated data pipelines for production monitoring and reliability. Coordinate cross-functional teams across test engineering, reliability, and manufacturing to improve yield, reduce test time, and validate product performance.
Summary Generated by Built In

NVIDIA seeks a Principal Sr. Product Development Engineer with transformative leadership skills to serve as the technical anchor for the Mixed-Signal Product Development team in our central Product Development Engineering Organization. In this key leadership position, you will build the technical roadmap and processes that enable next-generation, deep-submicron CMOS mixed-signal technologies to progress from design validation into manufacturing ramp and mass production.

You will serve as the main technical link between System Level Testing, test engineering, reliability, and manufacturing teams. Your role includes driving yield architecture, test optimization plans, and product performance validation for innovative mixed-signal solutions used in AI, networking, and high-performance computing systems. The ideal candidate has deep technical expertise in advanced CMOS nodes and high-speed mixed-signal systems. They also have a strong history of guiding complex product development lifecycles in high-volume semiconductor manufacturing.

What You'll Be Doing
  • Cross-functional leader to bridge design requirements to manufacturing solutions
  • Drive the end-to-end technical product development strategy from early silicon validation through qualification and high-volume manufacturing.
  • Define, develop, and implement advanced validation methodologies and innovative test strategies for deep-submicron analog and mixed-signal silicon builds.
  • Work in close partnership with Analog/Digital Development, System Level Testing, groups dedicated to product validation, durability, and production.
  • Influence strategies for design-for-test (DFT), design-for-manufacturability (DFM), and built-in self-test (BIST). Maintain consistent alignment from architectural codesign through to mass production.
  • Coordinate and architect complex parametric, electrical, and mixed-signal characterization frameworks for high-speed interfaces, power management units, and clocking circuits.
  • Lead deep-dive root-cause analysis and resolve highly complex technical anomalies related to silicon performance, Vmin/Fmax charting, yield excursions, and product reliability.
  • Architect yield improvement initiatives, test time reduction strategies, and manufacturing efficiency improvements across wafer-sort and final packaged test flows.
  • Provide structured, data-driven feedback to analyze silicon performance, design margins, process corners, and parametric sensitivities to improve future architectures.
  • Establish scalable data analysis frameworks, automated data pipelines, and statistical methodologies for high-volume validation and production monitoring.
What We Need to See
  • Master’s or Ph.D. in Electrical Engineering, Computer Engineering, or a related field, or equivalent experience.
  • More than 12 years of background in semiconductor product development, validation, or manufacturing engineering.
  • 12+ years of experience serving as a technical lead, principal engineer, or guiding cross-functional technical teams through product lifecycles.
  • Extensive technical knowledge of advanced CMOS process technologies, analog/mixed-signal circuit behavior, and digital logic interaction
  • Proven experience in yield analysis, product characterization, and applying statistical data analysis tools (e.g., JMP, Spotfire) for engineering insights and data-driven yield improvements.
  • Automation: High proficiency in automation and scripting (e.g., Python, MATLAB) for validation, data analysis, and test infrastructure.
  • Proven capability to overcome significant cross-functional obstacles and lead problem-solving within tight delivery timelines.
Ways to Stand Out From the Crowd
  • Extensive technical knowledge in foundry device physics and working closely with foundries to identify and address process anomalies and guide fab engineering teams to overcome major yield challenges
  • Deep expertise in defining ATE flows, structural and functional test pattern conversion, and handling high-power FinFET or gate-all-around (GAA) silicon.
  • Background in multi-chip modules (MCM), 2.5D/3D packaging integration, or CoWoS technologies.
  • Proven success leading silicon product ramps from low-yielding prototype phases to stable, high-volume manufacturing scale.

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.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 240,000 USD - 379,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 28, 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.

Skills Required

  • Master's or Ph.D. in Electrical Engineering, Computer Engineering, or related field, or equivalent experience.
  • More than 12 years background in semiconductor product development, validation, or manufacturing engineering.
  • 12+ years experience serving as a technical lead, principal engineer, or guiding cross-functional technical teams through product lifecycles.
  • Extensive technical knowledge of advanced CMOS process technologies, analog/mixed-signal circuit behavior, and digital logic interaction.
  • Proven experience in yield analysis, product characterization, and applying statistical data analysis tools (e.g., JMP, Spotfire) for engineering insights and yield improvements.
  • High proficiency in automation and scripting for validation, data analysis, and test infrastructure (e.g., Python, MATLAB).
  • Proven capability to overcome significant cross-functional obstacles and lead problem-solving within tight delivery timelines.
  • Extensive technical knowledge in foundry device physics and working with foundries to address process anomalies.
  • Deep expertise defining ATE flows, structural and functional test pattern conversion, and handling high-power FinFET or GAA silicon.
  • Background in multi-chip modules (MCM), 2.5D/3D packaging integration, or CoWoS technologies.
  • Proven success leading silicon product ramps from low-yield prototypes to stable, high-volume manufacturing.

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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

Edwards Lifesciences Logo Edwards Lifesciences

Principal Engineer

Healthtech • Pharmaceutical
In-Office
Irvine, CA, USA
13687 Employees
139K-196K Annually

SOPHiA GENETICS Logo SOPHiA GENETICS

Senior Sales Executive

Artificial Intelligence • Big Data • Healthtech • Software • Biotech
Remote or Hybrid
Los Angeles, CA, USA
450 Employees
88K-168K Annually

ServiceNow Logo ServiceNow

Dir, Software Engineering Management, Platform - Veza

Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Remote or Hybrid
Santa Clara, CA, USA
29000 Employees
221K-387K Annually

ServiceNow Logo ServiceNow

Machine Learning Engineer

Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Hybrid
Mountain View, CA, USA
29000 Employees

Similar Companies Hiring

Legora Thumbnail
Artificial Intelligence • Legal Tech • Software
Chicago, Illinois
700 Employees
Hanover Park Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
42 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account