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Statistical Process Control Engineer Jobs in Austin, TX

Process Engineer 5

Austin, TX · On-site

$105K - $231K/yr

The impact you'll make As a Process Engineer at Lam, you will operate on cutting-edge technology ... In-depth understanding of Statistical Process Control (SPC) and/or Design of Experiments (DOE)

QC Engineer

Kyle, TX · On-site

$50K - $100K/yr

The quality engineer oversees all of the quality processes and data in the field with a good eye ... Working knowledge of data analysis and statistical methods. * Certification in quality control is ...

Manufacturing Engineer

Austin, TX · On-site

$72K - $93K/yr

With an engineering-first culture, ACS values technical excellence and innovation. Backed by our ... cause analysis, and statistical process control. What You'll Do: * Design and optimize ...

Manufacturing Engineer

Austin, TX · On-site

$72K - $93K/yr

With an engineering-first culture, ACS values technical excellence and innovation. Backed by our ... cause analysis, and statistical process control. What You'll Do: * Design and optimize ...

Control Engineer

Austin, TX · On-site

$81K - $105K/yr

Engineers in this position collaborate closely with clients, manage multiple projects, and ... Experience with PLCs, motion control, process control, robotics, machine vision, and SCADA systems

Control Engineer

Austin, TX

$81K - $105K/yr

Engineers in this position collaborate closely with clients, manage multiple projects, and ... Experience with PLCs, motion control, process control, robotics, machine vision, and SCADA systems

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Showing results 1-20

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:
Process Engineer 3

Full-time

Posted 19 days ago


Lam Research rating

8.7

Company rating: 8.7 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

42nd of 421 rated machine equipment manufacturers


Job description

The group you'll be a part of
In the Global Products Group, we are dedicated to excellence in the design and engineering of Lam's etch and deposition products. We drive innovation to ensure our cutting-edge solutions are helping to solve the biggest challenges in the semiconductor industry.
The impact you'll make
As a Process Engineer at Lam, you will operate on cutting-edge technology, harnessing atomic precision, material science, and surface engineering to push technical boundaries. Your role involves developing new and advanced process formulations, defining equipment hardware to meet processing requirements, evaluating test data, and coordinating design requirements to ensure compatibility of processing methods. Your expertise and knowledge play a crucial role our customers success, making an impact on the next generation of semiconductor breakthroughs.
In this role, you will directly contribute to the Deposition Product Group in Austin, Texas.
What you'll do
  • Conduct process engineering research, development, and evaluation in support of Lam's cutting-edge semiconductor equipment and systems.
  • Review and enhance processing techniques and methods applied in the manufacture and fabrication of products.
  • Develop and sustain new processes and process improvements to reduce production costs and increase yields.
  • Compile and analyze test data to establish next steps in process development and determine appropriate limits and variables for process specifications.
  • Collaborate internally to plan, collect data, analyze results, and report on customer demos for existing process applications.
  • Contribute to next generation product development and release activities supporting the semiconductor roadmap.
  • Provide leadership, clear direction, and guidance to process technicians to support execution activities.

Who we're looking for
Minimum Qualifications:
  • Master's degree in Materials Science, Chemical Engineering, Chemistry or Physics or related field with 3+ years of experience; or a PhD with no previous professional experience; or equivalent experience.

Preferred qualifications
  • Familiarity with working in a laboratory and on semiconductor equipment with experience in surface preparation and analytical techniques.
  • In-depth understanding of Statistical Process Control (SPC) and/or Design of Experiments (DOE).
  • Highly proficient in MATLAB, Python, or other similar scientific computing language.
  • Working knowledge of statistical analysis and problem-solving methodologies.
  • Experience with statistical tools (JMP, Minitab, etc.)
  • Background in Atomic Layer Deposition (ALD), Chemical Vapor Deposition (CVD), Plasma Enhanced Chemical Vapor Deposition (PECVD), or Physical Vapor Deposition (PVD).
  • Background in Plasma Physics, Reactive Ion Etching (RIE), Atomic Layer Etching (ALE), Inductively Coupled Plasma (ICP), Capacitively Coupled Plasma (CCP).
  • Knowledge of Material synthesis and material characterization.
  • Experience working in a collaborative and matrixed environment with diverse teams, semiconductor customers, and/or partners.

Our commitment
We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.
Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.
Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories - On-site Flex and Virtual Flex. 'On-site Flex' you'll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. 'Virtual Flex' you'll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.
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Our Perks and Benefits
At Lam, our people make amazing things possible. That's why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits.

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About Lam Research

Sourced by ZipRecruiter

Lam Research designs and builds products for semiconductor manufacturing, including equipment for thin film deposition, plasma etch, photoresist strip, and wafer cleaning processes.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Fremont, CA, US

Year founded

1980

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