ZipRecruiter

Log In

1

Statistical Process Control Engineer Jobs in Austin, TX

Last Energy

Quality & Test Engineer

Austin, TX · On-site

$71K - $92K/yr

Partner with manufacturing and design engineering on tolerance stack-up, process capability (Cpk), and statistical process control (SPC) * Support supplier quality activities, including source ...

Last Energy

Quality & Test Engineer

Austin, TX · On-site

$71K - $92K/yr

Partner with manufacturing and design engineering on tolerance stack-up, process capability (Cpk), and statistical process control (SPC) * Support supplier quality activities, including source ...

Last Energy

Quality & Test Engineer

Austin, TX · On-site

$71K - $92K/yr

Partner with manufacturing and design engineering on tolerance stack-up, process capability (Cpk), and statistical process control (SPC) * Support supplier quality activities, including source ...

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 ...

previous pagenext page

Showing results 21-40

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 Aug 16, 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 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 of data. It involves using control charts and data collection to detect variations, ensuring processes operate consistently and within specified limits. SPC helps improve product quality and reduce defects by identifying and addressing process issues early.

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.

How much do statistical process control engineers make in the US?

Statistical Process Control (SPC) engineers in the US typically earn between $70,000 and $110,000 annually, with the median salary around $85,000. Salaries vary based on experience, industry, location, and certifications such as Six Sigma or quality management training.

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.

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
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.

Manufacturing Staff Engineer - Films Dielectric Deposition

skywater

Austin, TX • On-site

Full-time

Re-posted 11 hours ago

Job description

SkyWater Technology is hiring an experienced semiconductor Manufacturing Staff Engineer in the area of Films Dielectric Deposition at its Austin, TX location.  The process engineer will be responsible for maintaining the existing process, ensuring production metrics are met and drive process improvements.  Areas of improvement may include establishing new process settings, reducing defect levels, or qualifying new equipment.  Along with applicable technical knowledge, candidates will need to possess strong troubleshooting skills along with ability to conduct statistical analysis on data.

Responsibilities:

  • Responsible for one or more dielectric deposition toolsets
  • Maintain and improve process control through the use of Statistical Process Control (SPC), Advanced Process Control (APC), and Fault Detection Control (FDC)
  • Investigate and resolve process, defect, and yield issues, including qualifying process improvements which will require the use of Design of Experiments (DOE)
  • Work with the equipment and industrial engineers to improve tool availability, throughput, and utilization
  • Develop and execute plans to drive down overall costs while ensuring high quality
  • Work on cross functional teams to address integrated technology and yield issues
  • Work with the integration and process development engineers to transfer new processes into the fab

Requirements:

  • Bachelors Degree in Engineering, Chemistry, or related experience in lieu of a degree. 
  • 5+ years of semiconductor manufacturing experience
  • Experience with Dielectric deposition at a semiconductor company
  • The ability to handle challenging work with time constraints
  • Good data analysis skills and the ability to use tools such as JMP and SQL
  • Shift: Position is on-site, M-F from 7:30am-4:30pm

Apply