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How much do root cause analysis engineer jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for root cause analysis engineer in the United States is $55.99, according to ZipRecruiter salary data. Most workers in this role earn between $40.14 and $74.52 per hour, depending on experience, location, and employer.

What is the difference between Root Cause Analysis Engineer vs Quality Engineer?

AspectRoot Cause Analysis EngineerQuality Engineer
CredentialsBachelor's in Engineering, certifications like Six Sigma or RCA toolsBachelor's in Engineering or Quality Management, certifications like ASQ CQE or Six Sigma
Work EnvironmentManufacturing, industrial, or process improvement settingsManufacturing, service, or product development environments
Industry UsageFocuses on identifying underlying causes of failures or defectsFocuses on ensuring product/service quality and compliance

While both roles aim to improve processes, the Root Cause Analysis Engineer specializes in diagnosing fundamental issues causing failures, whereas the Quality Engineer concentrates on maintaining overall product quality and compliance. The roles often overlap but differ in primary focus and scope.

What are the key skills and qualifications needed to thrive as a Root Cause Analysis Engineer, and why are they important?

To thrive as a Root Cause Analysis Engineer, you need strong analytical skills, a solid engineering background, and experience with problem-solving methodologies like Six Sigma or 8D. Familiarity with technical tools such as statistical analysis software, failure mode and effects analysis (FMEA), and quality management systems is typically required, along with relevant certifications like Six Sigma Green or Black Belt. Effective communication, attention to detail, and cross-functional collaboration are vital soft skills for conveying findings and driving corrective actions. These abilities ensure accurate diagnosis of issues, effective implementation of solutions, and prevention of recurring problems in complex systems.

What are some common challenges faced by Root Cause Analysis Engineers, and how can they be addressed?

Root Cause Analysis Engineers often encounter challenges such as incomplete data, time constraints for investigations, and coordinating input from multiple departments. Addressing these issues requires strong communication skills, a systematic approach to data collection, and the ability to facilitate cross-functional meetings. Building strong relationships with stakeholders and using established RCA tools (like 5 Whys or Fishbone diagrams) can help streamline the process and lead to more accurate, actionable conclusions.

What does a Root Cause Analysis Engineer do?

A Root Cause Analysis (RCA) Engineer specializes in investigating problems, failures, or defects in products, systems, or processes to identify their underlying causes. By using structured methodologies and analytical tools, they determine why issues occurred and recommend corrective actions to prevent recurrence. Their work often involves collaborating with cross-functional teams, collecting and analyzing data, and documenting findings to improve overall quality and reliability. Root Cause Analysis Engineers play a crucial role in industries such as manufacturing, engineering, and IT, ensuring continuous improvement and operational excellence.
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Root Cause Analysis Engineer jobs near you
Infographic showing various Root Cause Analysis Engineer job openings in the United States as of July 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $116,463 per year, or $56 per hour.
Senior Physical Failure Analysis Engineer

Senior Physical Failure Analysis Engineer

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Posted 5 days ago

Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies

Job description

NVIDIA is the pioneer of GPU-accelerated computing and the engine powering the global AI revolution. We build the full-stack AI infrastructure, advanced microelectronics, and hardware ecosystems that drive everything from massive data center AI factories to autonomous vehicles, robotics, and advanced scientific simulation. Physical Failure Analysis team is relentlessly committed to quality, pushing the boundaries of semiconductor innovation and hardware reliability.
We are seeking a highly skilled and motivated Failure Analysis Engineer to join our world-class Failure Analysis Lab. In this role, you won't just solve problems-you will work at the dynamic intersection of physics, process technology, physical design, and circuit design to investigate complex product failures and drive critical engineering solutions. The Mission: Perform Physical Failure Analysis (PFA) on some of the world's most advanced integrated circuits, deep learning processors, and system architectures, uncovering root causes that directly shape the future of computing. We are looking for an adaptable technical expert capable of translating open-ended challenges into actionable insights. If you excel in fast-paced environments and want to help build the infrastructure defining the modern era, we encourage you to apply.
What You'll Be Doing:
Develop Advanced FA Techniques & Methodologies
  • Pioneer Novel Methods: Design and implement cutting-edge methodologies to drive successful root-cause investigations on leading-edge silicon, advanced heterogeneous packaging technologies, and complex integrated systems.
  • Precision De-processing: Perform mechanical cross-sectioning, parallel de-layering, and advanced chemical/plasma de-processing of integrated circuit (IC) devices across die, package, component, and board levels.
  • Nanoscale Analysis: Apply advanced Focused Ion Beam (FIB) sample preparation and analysis techniques to enable high-resolution electrical and physical diagnostics of IC chips.
  • Innovate Characterization Platforms: Develop novel characterization techniques and specialized analysis platforms tailored for emerging chip structures with advanced silicon architectures and complex packaging schemes.
  • Optimize Workflows: Design and implement robust failure analysis (FA) workflows to improve laboratory efficiency and guarantee accurate, reproducible root-cause determination.

Conduct In-Depth FA Investigations
  • Lead Root-Cause Investigations: Head high-impact failure analysis investigations to isolate the root causes of critical failures affecting product yield, performance, and long-term reliability.
  • Support multi-functional Engineering: Deliver precise physical characterization data to support engineering teams with Design of Experiments (DOE) evaluations, design optimization, process node improvements, and critical customer FA requests.

What We Need to See:
  • Domain Expertise: Deep understanding of semiconductor IC fabrication, advanced packaging/assembly processes, and advanced failure analysis methodologies.
  • Sample Preparation: Proven proficiency in precision IC device sample preparation for targeted defect localization and physical root-cause analysis.
  • Microscopy & Inspection: Hands-on expertise with advanced Optical and Electron microscopy (SEM/TEM), alongside related analytical inspection techniques.
  • System-Level Analysis: Strong working knowledge of physical and electrical failure analysis across die, package, component, and board levels.
  • Education & Experience: A B.S., M.S., or Ph.D. in Electrical Engineering, Materials Science, Physics, Chemistry, or a closely related field (or equivalent experience), paired with at least 8 years of relevant, hands-on experience.

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most hard-working and dedicated people in the world working for us and, due to unprecedented growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 144,000 USD - 230,000 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until July 13, 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.

What Nvidia employees say

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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