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Statistical Process Control Engineer Jobs in Austin, TX

Approach Venture LLC

Senior Process Engineer

Austin, TX · On-site

$140K - $180K/yr

Senior Process Engineer - Advanced Packaging & Manufacturing Austin, Texas | On-site Opportunity ... Develop and implement statistical process control methodologies to improve process stability ...

Approach Venture

Senior Process Engineer

Austin, TX · On-site

$140K - $180K/yr

Senior Process Engineer - Advanced Packaging & Manufacturing Austin, Texas | On-site Opportunity ... Develop and implement statistical process control methodologies to improve process stability ...

Apply Early

SolarEdge

Process Engineer

Austin, TX · On-site

Monitor production performance, statistical process control (SPC) data, first-pass yield, defect ... Partner with design engineering, manufacturing, quality, test, and operations teams during Design ...

Solaredge

Process Engineer

Austin, TX · On-site

Monitor production performance, statistical process control (SPC) data, first-pass yield, defect ... Partner with design engineering, manufacturing, quality, test, and operations teams during Design ...

Apply Early

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All JobsStatistical Process Control Engineer JobsStatistical Process Control Engineer Jobs in Austin, TX

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 Jul 2, 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, and why are they important?

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.

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.

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 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

Diffusion Process Engineer - Entry Level

NXP Semiconductors N.V.

Austin, TX • On-site

Full-time

Posted 9 days ago

Job description

The Diffusion Process Engineer opportunity is in a high-volume semiconductor wafer manufacturing environment. The position requires ownership and responsibility for control, development, and optimization of semiconductor processes and equipment. This role plays a critical part in ensuring high material quality, yield, and process stability for high-volume manufacturing.
Key Challenges:
  • Develop and optimize processes for silicon semiconductors
  • Implement and maintain SPC (Statistical Process Control) and FDC (Fault Detection and Classification) systems.
  • Analyze metrology data to monitor material quality and drive improvements.
  • Reduce defectivity mechanisms and improve process control
  • Lead troubleshooting and root cause analysis for process deviations and yield issues.
  • Participate in and/or lead cross-functional and lean activity teams.
  • Work with minimal supervision, balancing competing priorities, to serve the needs of the engineering and manufacturing communities
  • Drive equipment performance to maximize capacity and yield performance.
  • Improve cost performance of equipment.
  • Mentor engineers and provide technical leadership.

Job Qualifications:
  • Recent B.S. Degree in Engineering or Materials Science
  • Up to 2 years work experience
  • Positive interpersonal skills, highly energetic and self-motivated
  • Excellent verbal and written communication skills
  • Quality first mindset
  • Statistical analysis skills
  • Project management skills

More information about NXP in the United States...
NXP is an Equal Opportunity/Affirmative Action Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, NXP will provide reasonable accommodations for otherwise qualified disabled individuals.
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