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Statistical Process Control Engineer Jobs in Albuquerque, NM

3D Glass Solutions

Process Engineer

Albuquerque, NM · On-site

Familiarity with statistical process control methodologies and engineering analysis tools. Physical/Working Requirements * Must be able to wear personal protective gear most of the day (where ...

Automationtechies

Control Engineer

Albuquerque, NM · On-site +1

$80K - $104K/yr

Read, interpret, and update documents, drawings, and specifications related to process control and ... BA/BS degree in engineering or related discipline (Electrical, Chemical, Controls or Computer ...

Automationtechies

Control Engineer

Albuquerque, NM · On-site

$80K - $104K/yr

Read, interpret, and update documents, drawings, and specifications related to process control and ... BA/BS degree in engineering or related discipline (Electrical, Chemical, Controls or Computer ...

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All JobsStatistical Process Control Engineer JobsStatistical Process Control Engineer Jobs in Albuquerque, NM

Statistical Process Control Engineer information

See Albuquerque, NM salary details

$50.9K

$95.7K

$142.5K

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

As of Aug 28, 2026, the average yearly pay for statistical process control engineer in Albuquerque, NM is $95,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,200.00 and $112,900.00 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?

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.

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 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.

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. It involves collecting data from production processes, using control charts to detect variations, and ensuring consistent product quality by identifying and addressing issues early. SPC tools like Pareto charts and process capability analysis are commonly employed to maintain process stability and improve efficiency.

What are popular job titles related to Statistical Process Control Engineer jobs in Albuquerque, NM?

For Statistical Process Control Engineer jobs in Albuquerque, NM, the most frequently searched job titles are:

What job categories do people searching Statistical Process Control Engineer jobs in Albuquerque, NM look for?

The top searched job categories for Statistical Process Control Engineer jobs in Albuquerque, NM are:

Statistical Process Control Engineer jobs near you
Infographic showing various Statistical Process Control Engineer job openings in Albuquerque, NM as of June 2026, with employment types broken down into 77% Full Time, 17% Part Time, 3% Temporary, and 3% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $95,729 per year, or $46 per hour.

Process Integration and Defect reduction Engineer

Intel Corporation

Albuquerque, NM • On-site

Full-time

Medical, Retirement, PTO

Posted 8 days ago

Intel rating

8.7

Company rating: 8.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

18th of 159 rated electronics manufacturers

Job description

Job Details:
Job Description:
The New Mexico Silicon Manufacturing (NM Si Mfg) Yield Department is seeking Process Integration and Defect Reduction Engineers to support interconnect and advanced packaging semiconductor fabrication for Intel's Foveros and EMIB technologies. In this role, you will collaborate across multiple Yield Department functions, including Process Integration, Defect Reduction, Quality and Reliability, Device Analysis, and Yield Analysis.
Engineers in this organization are responsible for sustaining process health as products transition from development into high-volume manufacturing (HVM), while driving improvements in yield, quality, reliability, cost, and manufacturability. This position offers the opportunity to solve complex technical challenges, leverage data to drive decisions, and influence the successful ramp and production of next-generation semiconductor technologies.
The NM Si Mfg Yield team is looking for engineers who thrive in a fast-paced manufacturing environment and enjoy problem solving, data analysis, and cross-functional collaboration. In this role, you will design and conduct experiments, analyze large datasets, and optimize fabrication processes to improve device performance and manufacturing outcomes.
Key Responsibilities
  • Develop and execute experiments to optimize and characterize semiconductor manufacturing processes.
  • Analyze process, defect, and yield data to identify trends, correlations, and opportunities for improvement.
  • Monitor inline defectivity, parametric performance, and end-of-line yield metrics to ensure process stability.
  • Investigate process excursions, determine root causes, and drive corrective actions.
  • Manage and control technology change implementation within the manufacturing environment.
  • Partner with cross-functional teams to improve yield, quality, reliability, productivity, and cost.
  • Support the transfer of new technologies and products from Technology Development (TD) into High-Volume Manufacturing (HVM).
  • Develop and implement process control strategies to identify and respond to out-of-control conditions.
  • Lead and participate in projects focused on defect reduction, yield improvement, and manufacturing efficiency.
  • Respond to quality events and ensure timely disposition support across all phases of the product lifecycle.

Desired Skills and Competencies
  • Creative problem-solving skills with the ability to develop innovative technical solutions.
  • Strong analytical and data interpretation capabilities, including working with large and complex datasets.
  • Knowledge of inline defect detection methodologies and their impact on process performance and yield.
  • Effective project management skills, including planning, execution, and risk assessment.
  • Understanding of process control monitoring strategies and statistical methods for detecting process variation.
  • Ability to influence and collaborate effectively across technical and manufacturing organizations.
  • Strong written and verbal communication skills.

Qualifications:
Minimum Qualifications
Must possess a Bachelor's or Master's degree in Chemical Engineering, Electrical Engineering, Mechanical Engineering, Materials Science, Microelectronics Engineering, Chemistry, Physics, or a related technical field.
Preferred Qualifications
  • Experience working in a high-performing team environment with demonstrated leadership, teamwork, and problem-solving skills.
  • Fundamental understanding of semiconductor manufacturing process flow.
  • Experience applying Design of Experiments (DOE) methodologies.
  • Experience supporting High-Volume Manufacturing (HVM) environments.
  • Experience with data analysis and statistical process control tools such as JMP, SQL, and PCS.
  • Knowledge of Statistical Process Control (SPC), process capability, specification limits, and process variation analysis.
  • Strong written and verbal communication skills.
  • Experience with semiconductor yield improvement, defect reduction, process integration, or advanced packaging technologies.

Job Type:
College Grad
Shift:
Shift 1 (United States of America)
Primary Location:
US, New Mexico, Albuquerque
Additional Locations:
Posting Statement:
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Position of Trust
N/A
Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.
Annual Salary Range for jobs which could be performed in the US: $76,390.00-125,660.00 USD
The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.
Work Model for this Role
This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.
ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

What Intel employees say

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About Intel

Sourced by ZipRecruiter

Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore's Law to bring smart, connected devices to every person on Earth

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1968

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