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Remote Statistical Process Control Jobs (NOW HIRING)

Nokia

Staff PIC Process Engineer

Sunnyvale, CA · On-site +1

Proven ability to work effectively with remote fabs and crosssite teams Preferred Qualifications ... Apply SPC, process capability analysis (Cp/Cpk), and statistical methods to monitor and improve ...

Crown Holdings, Inc.

Process Engineer

Development and implementation of Standard Operational Procedures (SOP) to control and measure the ... Collect statistical process data and parameters for can making process, monitoring can weight ...

Merrick & Company

Process Engineer III

Oak Ridge, TN · Remote

This remote position will be a part of our Nuclear Services Technology Team and will support a ... Conduct sizing of control valves, pressure relief devices, and flow elements, considering system ...

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Remote Statistical Process Control information

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

As of Jul 21, 2026, the average yearly pay for remote statistical process control in the United States is $72,143.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $77,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Statistical Process Control vs Remote Quality Analyst?

AspectRemote Statistical Process ControlRemote Quality Analyst
CredentialsStatistical certifications, engineering backgroundQuality assurance certifications, analytical skills
Work EnvironmentManufacturing, production settings, data analysisQuality departments, inspection, testing environments
Industry UsageManufacturing, industrial sectorsHealthcare, manufacturing, service industries
Job FocusMonitoring and controlling processes using statistical methodsEnsuring product quality and compliance

Remote Statistical Process Control specialists focus on analyzing manufacturing data to optimize processes, while Remote Quality Analysts concentrate on maintaining product quality standards. Both roles require analytical skills and industry knowledge but differ in their primary objectives and work environments.

What is Remote Statistical Process Control?

Remote Statistical Process Control (SPC) refers to the use of statistical methods and software to monitor, control, and improve manufacturing or business processes from a remote location. By collecting and analyzing data in real time, SPC professionals can detect variations, identify trends, and recommend corrective actions without being physically present at the production site. This approach helps organizations maintain product quality, reduce defects, and improve efficiency, especially in environments where on-site monitoring is not feasible. Remote SPC often involves the use of cloud-based tools and secure data transmission to ensure effective oversight.

How does a Remote Statistical Process Control specialist typically collaborate with on-site teams to ensure process quality?

Remote Statistical Process Control (SPC) specialists frequently work with on-site production and quality teams through virtual meetings, shared dashboards, and collaborative data analysis tools. They provide actionable insights by monitoring real-time process data, identifying trends or anomalies, and recommending corrective actions. Effective communication is crucial, as remote SPC specialists must clearly convey findings and support implementation of process improvements. Regular coordination ensures that remote oversight aligns with on-site operational goals and compliance requirements.

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

To thrive as a Remote Statistical Process Control Specialist, you need strong analytical skills, a solid understanding of statistics, and experience in quality assurance, often supported by a degree in engineering, mathematics, or a related field. Proficiency with statistical software tools like Minitab, JMP, or SPC modules within ERP systems, as well as familiarity with Six Sigma or similar certifications, is typically required. Attention to detail, problem-solving, and effective remote communication are essential soft skills for interpreting data trends and collaborating with distributed teams. These skills ensure accurate process monitoring, timely quality improvements, and efficient coordination, which are critical for maintaining manufacturing standards remotely.
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Remote Statistical Process Control jobs near you
Infographic showing various Remote Statistical Process Control job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $72,143 per year, or $34.7 per hour.
Staff PIC Process Engineer

Staff PIC Process Engineer

Nokia

Sunnyvale, CA • On-site, Remote

Full-time

Re-posted 17 days ago

Nokia rating

8.6

Company rating: 8.6 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

6th of 82 rated telecommunications companies

Job description

As a Staff PIC Process Development Engineer, you will be a senior individual contributor within Nokia's Optical Components organization, responsible for the development, optimization, and transfer of InP photonic integrated circuit (PIC) and laser fabrication processes for highvolume manufacturing.

This role requires deep technical expertise across epitaxial design, semiconductor processing, datadriven manufacturing analysis, and close collaboration with remote fabrication partners. You will play a key role in enabling nextgeneration optical component technologies that support Nokia's highcapacity optical networking platforms.

  • Ph.D. in Electrical Engineering, Physics, or a related field
  • Minimum 3 years of industry experience developing and manufacturing InP PIC or laser fabrication processes for highvolume applications
  • Demonstrated expertise in: 
    • Design of epitaxial layer structures
    • Process design and fabrication process development for InP devices or PICs
    • Photonic device data query and analysis in a manufacturing environment
    • Metal, semiconductor, and dielectric deposition and etching tools, chemistries, and methods
    • FMEA, SPC, process capability, and metrology
    • Building endtoend fabrication process flows from tool and design specifications

  • Proven ability to work effectively with remote fabs and crosssite teams

Preferred Qualifications

  • Experience supporting technology transfer to highvolume manufacturing
  • Familiarity with yield ramp, qualification, and reliability testing for photonic devices
  • Strong communication skills with the ability to translate complex technical issues across disciplines
  • Experience working in foundry or captive fab environments supporting compound semiconductor technologies

Process Development & Integration

  • Lead the design, development, and optimization of InP PIC and laser fabrication processes for highvolume manufacturing
  • Design and specify epitaxial layer structures in collaboration with device designers and epitaxy suppliers
  • Develop complete fabrication process flows based on design requirements, tool capabilities, and manufacturing constraints
  • Drive process integration, ensuring compatibility across metal, semiconductor, and dielectric modules

Manufacturing Data & Yield Excellence

  • Perform extensive data analysis of photonic device, wafer, and process data in a manufacturing environment
  • Apply SPC, process capability analysis (Cp/Cpk), and statistical methods to monitor and improve process performance
  • Lead or contribute to FMEA activities, root cause analysis, and corrective actions for yield and reliability issues
  • Define and utilize metrology strategies to ensure robust process control

Fab Execution & CrossFunctional Collaboration

  • Shepherd wafers successfully through the fab, coordinating closely with test, development, integration, and fabrication engineers
  • Act as a senior technical interface with external or remote fabrication facilities, ensuring alignment on process execution and priorities
  • Collaborate with device design, product engineering, and reliability teams to support technology readiness and product ramp

Technical Leadership & Impact

  • Provide technical leadership within the PIC process development domain
  • Contribute to continuous improvement of tools, methods, and best practices
  • Mentor junior engineers and support knowledge transfer across the broader team

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