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Statistical Process Control Jobs in Texas (NOW HIRING)

Implementing statistical process control (SPC) methods to monitor and improve manufacturing processes.Continuous Improvement:Identifying areas for process improvement and implementing corrective ...

Implementing statistical process control (SPC) methods to monitor and improve manufacturing processes. Continuous Improvement: * Identifying areas for process improvement and implementing corrective ...

Implementing statistical process control (SPC) methods to monitor and improve manufacturing processes. Continuous Improvement: * Identifying areas for process improvement and implementing corrective ...

By utilizing statistical process control and value stream mapping techniques, the role drives continuous improvement efforts aimed at reducing scrap and enhancing overall operational efficiency.

Senior Process Engineer

Austin, TX · On-site

$140K - $180K/yr

Develop and implement statistical process control methodologies to improve process stability, quality, throughput, and yield * Partner with design, electrical, mechanical, and manufacturing teams to ...

Senior Process Engineer

Austin, TX · On-site

$103K - $133K/yr

Develop and implement statistical process control methodologies to improve process stability, quality, throughput, and yield * Partner with design, electrical, mechanical, and manufacturing teams to ...

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Statistical Process Control information

See Texas salary details

$78.7K

$137.2K

$232K

How much do statistical process control jobs pay per year?

As of Aug 31, 2026, the average yearly pay for statistical process control in Texas is $137,225.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,500.00 and $149,100.00 per year, depending on experience, location, and employer.

What is statistical process control?

A Statistical Process Control (SPC) job involves monitoring and improving manufacturing or business processes using statistical methods. SPC professionals collect and analyze data to detect variations, identify root causes, and ensure process stability and efficiency. They use control charts, process capability analysis, and other tools to maintain quality standards. Their goal is to reduce defects, minimize waste, and improve overall performance.

What are the typical daily responsibilities for someone working in statistical process control?

In a Statistical Process Control role, your day-to-day tasks often include collecting and analyzing production data, generating control charts, and identifying trends or deviations in process performance. You will frequently collaborate with production teams and engineers to investigate causes of process variation and recommend improvements. Preparing detailed reports, conducting root cause analyses, and supporting quality audits are also common aspects of the job. This role requires a blend of technical analysis and hands-on engagement with cross-functional teams to ensure consistent product quality and efficient manufacturing operations.

What are the key skills and qualifications needed to thrive in statistical process control, and why are they important?

To thrive in Statistical Process Control, a strong background in statistics, data analysis, and industrial process optimization—often supported by a degree in engineering, mathematics, or related fields—is essential. Familiarity with statistical software (such as Minitab, JMP, or SPSS), process monitoring tools, and industry certifications like Six Sigma are commonly required. Excellent problem-solving, attention to detail, and effective communication skills set standout professionals apart in this role. These abilities are crucial for accurately monitoring production quality, driving continuous improvement, and ensuring process stability in manufacturing environments.

What does a statistical process control specialist do?

A statistical process control specialist monitors manufacturing processes using statistical methods to ensure quality and consistency. They analyze data from production, develop control charts, and identify variations to prevent defects, often using tools like Minitab or SPC software. Certification in quality management and strong analytical skills are typically required for this role.

What are the most commonly searched types of Statistical Process Control jobs in Texas?

The most popular types of Statistical Process Control jobs in Texas are:

What are popular job titles related to Statistical Process Control jobs in Texas?

For Statistical Process Control jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Statistical Process Control jobs in Texas look for?

The top searched job categories for Statistical Process Control jobs in Texas are:

Infographic showing various Statistical Process Control job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, 3% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $137,225 per year, or $66 per hour.

Yield and PCI (Process Control Innovation) Engineer

Samsung Electronics Co., Ltd.

Taylor, TX • On-site

$76K - $145K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago


Samsung Electronics rating

6.7

Company rating: 6.7 out of 10

Based on 50 frontline employees who took The Breakroom Quiz

128th of 159 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.
  • 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 $76,000 - $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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