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Yield Analysis Engineer Jobs in Nevada (NOW HIRING)

The ideal candidate brings a strong foundation in process development, data analysis, and ... Champion continuous improvement projects to improve yield, capacity, and process capability ...

Translate production problems (yield loss, scrap, downtime, traceability gaps) into deployable data ... Lead and mentor forward-deployed data engineers, analytics engineers, and data scientists * Manage ...

Manufacturing Engineer

Las Vegas, NV ยท On-site

$69K - $89K/yr

Production Line Optimization Perform time studies and labor analysis. Support takt time ... First Pass Yield Defect reduction Rework reduction Process capability Support investigations ...

Identify and execute continuous improvement projects focused on cycle time reduction, yield ... Demonstrated success improving OEE through structured root cause analysis and continuous ...

Manufacturing Engineer

Reno, NV ยท On-site

$65K - $120K/yr

... and process yield, and improving the reliability and stability of our processes by using their ... Improves manufacturing efficiency by analyzing and planning workflow, space requirements, equipment ...

New

Manufacturing Engineer

Reno, NV

$72K - $93K/yr

... and process yield, and improving the reliability and stability of our processes by using their ... Improves manufacturing efficiency by analyzing and planning workflow, space requirements, equipment ...

Manufacturing Engineer

Reno, NV ยท On-site

$65K - $120K/yr

... and process yield, and improving the reliability and stability of our processes by using their ... Improves manufacturing efficiency by analyzing and planning workflow, space requirements, equipment ...

New

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Yield Analysis Engineer information

What are Yield Analysis Engineers?

Yield Analysis Engineers are professionals who focus on analyzing and improving the manufacturing yield of products, particularly in industries like semiconductor fabrication. They collect and interpret process data to identify patterns, root causes of yield loss, and opportunities for process optimization. Their work helps companies maximize production efficiency and minimize defects, ultimately reducing costs and increasing profitability. Yield Analysis Engineers collaborate with cross-functional teams, including manufacturing, quality assurance, and process engineering, to implement solutions that improve yield.

What is the difference between Yield Analysis Engineer vs Process Engineer?

AspectYield Analysis EngineerProcess Engineer
Primary FocusAnalyzing and improving manufacturing yields through data analysisDesigning, implementing, and optimizing manufacturing processes
Skills & CertificationsData analysis, statistical tools, engineering fundamentalsProcess design, engineering principles, certifications like Six Sigma
Work EnvironmentManufacturing plants, R&D labs, data analysis teamsProduction floors, process development departments

While both roles are integral to manufacturing, Yield Analysis Engineers focus on analyzing yield data to identify issues and improve output, whereas Process Engineers develop and optimize manufacturing processes. Both roles require strong analytical skills and engineering knowledge, often working closely to enhance production efficiency.

How does a Yield Analysis Engineer typically collaborate with cross-functional teams to address manufacturing issues?

Yield Analysis Engineers regularly work alongside process engineers, product engineers, and quality assurance teams to identify and resolve manufacturing bottlenecks or defects. They analyze data from production lines, share findings with relevant teams, and participate in root cause analyses to implement corrective actions. This collaborative approach ensures that yield improvements are based on comprehensive insights and that solutions are effectively integrated into existing workflows. Strong communication and teamwork skills are essential in this role, as addressing yield challenges often requires input from multiple technical disciplines.

What are the key skills and qualifications needed to thrive as a Yield Analysis Engineer, and why are they important?

To thrive as a Yield Analysis Engineer, you need a solid background in electrical engineering, semiconductor manufacturing, and data analysis, typically supported by a relevant engineering degree. Experience with statistical analysis tools (like JMP or Minitab), data visualization software, and familiarity with yield management systems are commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills help you identify issues and collaborate with cross-functional teams. These skills are crucial for optimizing manufacturing processes, reducing defects, and ensuring high product yield in a competitive semiconductor industry.
What are popular job titles related to Yield Analysis Engineer jobs in Nevada? For Yield Analysis Engineer jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Yield Analysis Engineer jobs in Nevada look for? The top searched job categories for Yield Analysis Engineer jobs in Nevada are:
What cities in Nevada are hiring for Yield Analysis Engineer jobs? Cities in Nevada with the most Yield Analysis Engineer job openings:

Process Engineer

Amperesand

Reno, NV โ€ข On-site

Other

Posted 20 days ago


Job description

Role Summary

We are seeking a skilled and hands-on Process Engineer to join our Production Engineering team, focused on developing, sustaining, and optimizing manufacturing processes across our production lines.

The ideal candidate brings a strong foundation in process development, data analysis, and continuous improvement, along with the drive to expand expertise across disciplines. This role requires critical thinking, fast learning, and direct ownership of process performance in a high-paced production environment.

This is a floor-facing, high-impact role. You will work closely with Quality, Equipment, and Operations teams to ensure processes are capable, repeatable, and continuously improving.

Responsibilities

  • Support production operations across shifts, including remote or onsite escalation response as needed to minimize process-related downtime and yield loss
  • Develop, implement, and optimize production processes to ensure safety while maximizing Overall Equipment Effectiveness (OEE) and achieving world-class quality levels
  • Diagnose process failures and defects, drive corrective actions to root cause, and implement sustainable countermeasures to prevent recurrence
  • Monitor and reduce process variation using Statistical Process Control (SPC) and Measurement Systems Analysis (MSA); audit manufacturing processes to ensure product specifications and standards are consistently achieved
  • Develop data collection, visualization, and analysis tools to enable data-driven decision making and predictive insight into process performance
  • Champion continuous improvement projects to improve yield, capacity, and process capability, including cycle time reduction, scrap reduction, and labor efficiency gains
  • Develop and maintain FMEAs and Control Plans; analyze, develop, and implement Engineering Change Orders
  • Create and maintain Manufacturing Instructions, process routings, and related documentation, including rework procedures
  • Own process-level metrics, present performance data to engineering and operations stakeholders, and drive structured improvement initiatives
  • Maintain comprehensive process documentation and participate in Engineering Change Management

Qualifications

  • Bachelor's or Master's degree in Mechanical, Manufacturing, Chemical, or Industrial Engineering, or a related field
  • 3+ years of experience in a high-volume, highly automated manufacturing environment developing and improving processes
  • Proven experience driving process and OEE improvements through structured root cause analysis and continuous improvement methods
  • Proficiency in structured problem-solving methodologies such as DMAIC, 5 Whys, 8D, or Ishikawa
  • Knowledge of Statistical Process Control (SPC) and its application in manufacturing environments
  • Experience with data collection and analysis for process performance and development
  • Ability to lead cross-functional projects and support 24/7 operations during escalations
  • Strong written and verbal communication skills

Bonus Qualifications

  • Experience with data analysis and visualization tools such as Python, JMP, Minitab, Tableau, or similar
  • Familiarity with Measurement Systems Analysis (MSA) and gauge R&R studies
  • Experience developing or improving HMIs or factory data systems such as Ignition, SCADA, or MES platforms
  • Knowledge of GD&T and its impact on process capability and manufacturability
  • Experience with power electronics or electromechanical assembly processes in energy, automotive, aerospace, or consumer electronics manufacturing
  • Experience with MES or factory data platforms for process monitoring, alarming, and analysis
  • Creative problem-solving mindset with a focus on faster, better, and more cost-effective solutions

Please note: This role requires working on-site 5 days a week. We do not offer hybrid or remote options.ย