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Statistical Process Control Engineer Jobs in Austin, TX

skywater

Process Sustaining Sr. Engineer (CMP)

Austin, TX

$98K - $127K/yr

The process engineer will be responsible for maintaining the existing process ensuring production ... Maintain and improve process control using Statistical Process Control (SPC), Advanced Process ...

T1 Energy Inc.

Senior Deposition Process Engineer

Austin, TX · On-site

$103K - $133K/yr

Monitor process performance through statistical process control (SPC) and respond to out-of-control ... Partner with cross-functional teams including device engineering, materials, and operations to meet ...

T1 Energy Inc.

Senior Diffusion Process Engineer

Austin, TX · On-site

$103K - $133K/yr

The Role T1 Energy is looking to hire a Thermal Process Engineer to join our team supporting the ... Optimize process performance through statistical process control (SPC) and lead OEM work inspection ...

T1 Energy

Senior Diffusion Process Engineer

Austin, TX · On-site

$125 - $150/hr

The Role T1 Energy is looking to hire a Thermal Process Engineer to join our team supporting the ... Optimize process performance through statistical process control (SPC) and lead OEM work inspection ...

T1 Energy

Senior Deposition Process Engineer

Austin, TX · On-site

$100 - $125/hr

Monitor process performance through statistical process control (SPC) and respond to ... Partner with cross‑functional teams including device engineering, materials, and operations to ...

Austin, Inc.

Process Engineer II

Austin, TX · On-site

$100 - $125/hr

... Statistical process control (SPC), etc Typically requires 2-5 years of medical device, tissue ... Masters in Engineering). * Process Optimization / Lean Mfg.: Demonstrated execution of lean ...

Samsung Electronics

Etch Process Engineer - Days

Austin, TX · On-site

$70K - $179K/yr

Position Summary Samsung Austin Semiconductor is seeking a skilled Process Engineer to join our ... Understanding of Statistical Process Control (SPC) methods and their implementation. * Familiarity ...

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Statistical Process Control Engineer information

See Austin, TX salary details

$52K

$97.9K

$145.7K

How much do statistical process control engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for statistical process control engineer in Austin, TX is $97,890.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,800.00 and $115,500.00 per year, depending on experience, location, and employer.

What does a Statistical Process Control Engineer do?

A Statistical Process Control (SPC) Engineer is responsible for designing, implementing, and maintaining systems that monitor and control manufacturing processes using statistical methods. They analyze data to identify trends, reduce process variation, and improve product quality. SPC Engineers work closely with production teams to ensure processes remain stable, efficient, and in compliance with industry standards. Their role often involves training staff in SPC techniques and troubleshooting quality issues using data-driven approaches.

What are the key skills and qualifications needed to thrive as a Statistical Process Control Engineer?

To thrive as a Statistical Process Control Engineer, you need a solid background in statistics, process engineering, and quality management, often supported by a degree in engineering or a related field. Familiarity with SPC software (such as Minitab or JMP), Six Sigma methodologies, and quality system certifications like ASQ are typically required. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting data and collaborating with cross-functional teams. These skills and qualifications are vital to maintain product quality, optimize processes, and drive continuous improvement within manufacturing or production environments.

How does a Statistical Process Control Engineer typically collaborate with production and quality teams to drive process improvements?

A Statistical Process Control Engineer regularly works alongside both production and quality assurance teams to identify trends, troubleshoot issues, and implement data-driven improvements. They analyze real-time data from manufacturing processes, facilitate root cause analysis sessions, and communicate findings through reports or presentations. Collaboration often includes training team members on SPC tools and methodologies, as well as guiding them in using statistical techniques to monitor and control process variability. This cross-functional teamwork ensures that process adjustments are both technically sound and operationally practical, leading to sustained quality improvements.

What is the difference between Statistical Process Control Engineer vs Quality Engineer?

AspectStatistical Process Control EngineerQuality Engineer
Primary FocusMonitoring and controlling manufacturing processes using statistical methodsEnsuring overall product quality through testing, inspection, and process improvements
CertificationsSix Sigma, Statistical Process Control (SPC) certificationsSix Sigma, Quality Management certifications (e.g., CQE)
Work EnvironmentManufacturing plants, process development labsQuality departments, production facilities
Industry UsageManufacturing, automotive, electronicsManufacturing, healthcare, aerospace

While both roles focus on improving product quality, the Statistical Process Control Engineer specializes in using statistical tools to monitor and control manufacturing processes, whereas the Quality Engineer oversees broader quality assurance activities, including testing and compliance. Understanding these differences helps in choosing the right career path or job search focus.

What is statistical process control in engineering?

Statistical Process Control (SPC) is a method used by engineers, including those in quality and manufacturing roles, to monitor and control a process through statistical analysis. It involves collecting data from production processes, using control charts to detect variations, and ensuring consistent product quality by identifying and addressing issues early. SPC tools like Pareto charts and process capability analysis are commonly employed to maintain process stability and improve efficiency.

What are popular job titles related to Statistical Process Control Engineer jobs in Austin, TX?

For Statistical Process Control Engineer jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Statistical Process Control Engineer jobs in Austin, TX look for?

The top searched job categories for Statistical Process Control Engineer jobs in Austin, TX are:

What cities near Austin, TX are hiring for Statistical Process Control Engineer jobs?

Cities near Austin, TX with the most Statistical Process Control Engineer job openings:

Statistical Process Control Engineer jobs near you
Infographic showing various Statistical Process Control Engineer job openings in Austin, TX as of June 2026, with employment types broken down into 72% Full Time, 22% Part Time, 3% Temporary, and 3% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $97,890 per year, or $47.1 per hour.

Yield and Process Control Innovation Engineer

Samsung Electronics Co., Ltd.

Taylor, TX • On-site

$106K - $145K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Samsung Electronics rating

6.7

Company rating: 6.7 out of 10

Based on 50 frontline employees who took The Breakroom Quiz

129th of 161 rated electronics manufacturers

Job description

About Samsung Austin Semiconductor
Samsung is a world leader in advanced semiconductor technology, founded on the belief that the pursuit of excellence creates a better world. At Samsung Austin Semiconductor, we are Innovating Today to Power the Devices of Tomorrow.
Come innovate with us!
Position Summary
We are seeking a highly analytical and detail-oriented Yield and Process Control and Investigation(PCI) Engineer to join our semiconductor manufacturing team. In this role, you will be critical in monitoring wafer manufacturing processes, driving yield enhancement, and investigating process excursions. You will utilize advanced statistical process control (SPC), defect inspection data, and parametric testing results to identify root causes of yield limiters. Working closely with cross-functional teams-including Process, Equipment, and Integration engineering-you will implement robust solutions to ensure process stability, minimize defects, and maximize product yield.
Role and Responsibilities
Here's What You'll Be Responsible For:
  • Process Monitoring: Monitor daily inline data, metrology, and defectivity trends to identify out-of-control (OOC) or out-of-spec (OOS) conditions across the fabrication line.
  • Electrical Test (ET) Monitoring: Monitor, extract, and analyze ET data to ensure continuous process stability and line health.
  • Data Pipeline Development & Automation: Design scalable data pipelines to extract, clean, and structure ET data and develop automation apps
  • Automated Anomaly Detection: Develop and deploy Machine Learning models to autonomously scan electrical test dataset for subtle anomalies, process drift.
  • Corrective Action Implementation: Collaborate with Process and Equipment engineers to develop, validate, and implement Corrective and Preventive Actions (CAPA) to resolve process variations.
  • Statistical Process Control: Develop, maintain, and optimize SPC charts, control limits, and sampling plans to ensure sensitive process nodes remain tightly controlled.
  • Reporting & Strategy: Summarize complex data into actionable reports and present yield/defectivity metrics to management and engineering teams to drive continuous improvement initiatives.

Skills and Qualifications
Here's what you'll need:
  • B.E. M.Sc. in Electrical Engineering, Materials Science, Physics, Applied Physics, or related field.
  • Understanding of semiconductor device physics and CMOS fabrication processes (Lithography, Etch, Thin Films, CMP, Diffusion, Implant).
  • Understanding of electrical parametric testing, defect inspection mechanisms.
  • Strong technical writing and presentation skills to effectively communicate technical data to diverse audiences. Ability to thrive in a fast-paced, 24/7 cleanroom manufacturing environment.
  • Capable of managing multiple high-priority investigations simultaneously while collaborating seamlessly with cross-functional teams.
  • Proactive and organized with excellent verbal and written communication skills for reporting to "home teams" and global stakeholders.
  • Cross-functional leadership and communication.
  • Exceptional analytical problem-solving skills with a proven track record of resolving complex process excursions.

The current base salary range for this role is between $106,000 - $145,000. Individual base pay rates will depend on factors including duties, work location, education, skills, qualifications and experience. Total compensation for this position will include a competitive benefits package and may include participation in company incentive compensation programs, which are based on factors to include organizational and individual performance.
Total Rewards
At Samsung Austin Semiconductor, base pay is just one part of our total compensation package. The base compensation for this role will depend on education, experience, skills, and location.
We offer a comprehensive benefits package, including:
  • Medical, dental, and vision insurance
  • Life insurance and 401(k) matching with immediate vesting
  • Onsite café(s) and workout facilities
  • Paid maternity and paternity leave
  • Paid time off (PTO) + 2 personal holidays and 10 regular holidays
  • Wellness incentives and MORE

Eligible full-time employees (salaried or hourly) may also receive MBO bonuses based on company, division, and individual performance.
All positions at Samsung Austin Semiconductor are full-time on-site.
U.S. Export Control Compliance
This role may require access to information subject to U.S. export control laws. Applicants must be authorized to access such information or eligible for government authorization.
Trade Secrets Notice
By submitting an application, you agree not to disclose to Samsung-or encourage Samsung to use-any confidential or proprietary information (including trade secrets) belonging to a current or former employer or other entity.
* Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here.
* Samsung Electronics America, Inc. and its subsidiaries are committed to Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.

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