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Statistical Process Control Spc Jobs (NOW HIRING)

Absolics Inc

Inline Monitoring (IM) Engineer

Covington, GA · On-site

$100K - $150K/yr

This role focuses on utilizing Statistical Process Control (SPC) and inline data to detect process excursions at an early stage, initiating immediate corrective actions to prevent mass scrap, and ...

Micron

Process Control Engineer (SPC)

Boise, ID

... Control (SPC) conditions, and identify process capability improvement opportunities ... You can expect to act as a mentor and trainer on statistical concepts, applications, and techniques ...

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$52.5K

$98.8K

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

As of May 30, 2026, the average yearly pay for statistical process control spc in the United States is $98,759.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,500.00 and $116,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Statistical Process Control (SPC) Specialist, and why are they important?

To thrive as a Statistical Process Control (SPC) Specialist, you need a solid background in statistics, quality management, and process improvement, usually supported by a degree in engineering, mathematics, or a related field. Familiarity with statistical software (such as Minitab or JMP), control charting, and Six Sigma or other quality certifications is typically required. Attention to detail, analytical thinking, and effective communication skills help SPC specialists interpret data and drive process improvements across teams. These skills ensure accurate process monitoring, reduce variability, and promote consistent product quality in manufacturing or production environments.

What are some common challenges faced by Statistical Process Control (SPC) Specialists when implementing new control systems?

SPC Specialists often encounter challenges such as resistance to change from production teams, ensuring accurate data collection, and integrating new control systems with existing manufacturing processes. It can require significant effort to train staff on proper data recording and interpretation of control charts. Collaborating closely with operators and quality engineers is essential to address these challenges and drive continuous improvement in process quality.

What is Statistical Process Control (SPC)?

Statistical Process Control (SPC) is a method used in manufacturing and other industries to monitor and control processes through the use of statistical tools. By collecting and analyzing data from production processes, SPC helps identify variations that could indicate problems or areas for improvement. Common tools include control charts, process capability analysis, and histograms. The goal of SPC is to ensure that processes operate efficiently, produce consistent quality, and reduce waste or defects.

What is the difference between Statistical Process Control Spc vs Quality Control Technician?

AspectStatistical Process Control SpcQuality Control Technician
CertificationsASQ SPC Certification, Six SigmaASQ CQI Certification, Six Sigma
Work EnvironmentManufacturing, production lines, quality departmentsManufacturing plants, inspection areas, quality labs
Primary FocusMonitoring and analyzing process data to control qualityInspecting products, identifying defects, ensuring quality standards

While both roles focus on quality, Statistical Process Control Spc specialists analyze data to optimize processes, whereas Quality Control Technicians perform inspections and identify defects. SPC professionals develop statistical methods to prevent issues, while QC Technicians verify product quality at various stages.

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What job categories do people searching Statistical Process Control Spc jobs look for? The top searched job categories for Statistical Process Control Spc jobs are:
Statistical Process Control Spc jobs near you
Infographic showing various Statistical Process Control Spc job openings in the United States as of May 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 100% Physical job distribution, with an average salary of $98,759 per year, or $47.5 per hour.

Inline Monitoring (IM) Engineer

Absolics Inc

Covington, GA

$100K - $150K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

Job description

Position: Semiconductor Mass Production - Inline Monitoring (IM) Engineer

Location: COVINGTON, GA

 

JOB SUMMARY

The Inline Monitoring (IM) Engineer is responsible for monitoring real-time metrology and inspection data during the manufacturing process to ensure process stability and prevent yield loss. This role focuses on utilizing Statistical Process Control (SPC) and inline data to detect process excursions at an early stage, initiating immediate corrective actions to prevent mass scrap, and driving overall yield stability. The IM Engineer serves as a guardian of the production line, ensuring that every process step remains within its optimized window.

 

ROLES & RESPONSIBILITIES

Real-time Process Monitoring, Statistical Process Control (SPC), OCAP Management, Yield Correlation Analysis

 

DUTIES/RESPONSIBILITIES:

  • Monitor real-time inline metrology and inspection data to evaluate the stability of the production line.
  • Establish and maintain Statistical Process Control (SPC) systems, including setting and optimizing control limits for key process parameters.
  • Identify Out-of-Control (OOC) or Out-of-Spec (OOS) events and lead the Out-of-Control Action Plan (OCAP) to hold and disposition affected lots.
  • Analyze correlations between inline defect data and final wafer/substrate yield to improve yield prediction models.
  • Collaborate with Process Engineering teams to identify sources of variability and develop new monitoring points to enhance process control.
  • Generate daily and weekly yield reports on Key Performance Indicators (KPIs) for management and cross-functional teams.
  • Optimize data sampling strategies to balance inspection coverage with manufacturing throughput.
  • Design and manage automated monitoring dashboards and alarm systems for 24/7 production oversight.
  • Perform other duties as assigned.

 

 

REQUIREMENTS:

  • Strong proficiency in Statistical Process Control (SPC) methodologies and their application in a high-volume manufacturing environment.
  • Advanced skills in statistical software (e.g., JMP, Minitab, Spotfire) to analyze large-scale manufacturing datasets.
  • Solid understanding of semiconductor or substrate manufacturing process flows and key metrology parameters.
  • Proficiency in using MES (Manufacturing Execution Systems) and basic database querying (SQL).

 

QUALIFICATIONS:

  • Data-driven mindset with the ability to make rapid, accurate decisions under pressure.
  • Excellent communication and teamwork skills to coordinate between Production, Engineering, and Quality departments.
  • Proactive problem-solving approaches identify and mitigate potential yield risks before they escalate.
  • Bilingual in Korean

 

EDUCATION:

  • Bachelor's or Master's degree in Yield Improvement, Statistics, Materials Science, Electrical Engineering, or a related field preferred.

 

EXPERIENCE:

  • 10+ years of experience in yield enhancement, process control, or quality engineering within the semiconductor, display, or PCB industry.
  • Proven track record of yield improvement projects in a high-volume manufacturing (HVM) environment.

SALARY:

  • $100,000 - $150,000

 

BENEFIT:

  • 401K 6% matching (NO vesting period)
  • Healthcare 100% support (Health, Dental, Vision)
  • Life, STD, LTD 100 % support
  • Cell phone allowance
  • PTO and self-development

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