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Summer Cvd Process Engineer Jobs in Virginia (NOW HIRING)

As a Process Engineer, you will develop, optimize, and sustain the semiconductor processes that ... Semiconductor process areas (Photo, CVD, PVD, Diffusion, Implant, Etch, CMP, Wet), High-volume ...

As a Process Engineer, you will develop,optimize, and sustain the semiconductor processes that ... Semiconductor process areas (Photo, CVD, PVD, Diffusion, Implant, Etch, CMP, Wet), High-volume ...

Evonik's Summer Professional Enrichment (SPE) Program is a 12 week internship program that provides ... Process Engineering Intern: Contributed to the startup activities of a new chemical process ...

Evonik's Summer Professional Enrichment (SPE) Program is a 12 week internship program that provides ... Process Engineering Intern: Contributed to the startup activities of a new chemical process ...

Summer Internship

Richmond, VA · On-site

$21 - $27/hr

Evonik's Summer Professional Enrichment (SPE) Program is a 12 week internship program that provides ... Process Engineering Intern : Contributed to the startup activities of a new chemical process ...

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Process Engineer

Micron Technology

Manassas, VA • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Micron Technology rating

8.6

Company rating: 8.6 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

27th of 159 rated electronics manufacturers


Job description

As a Process Engineer, you will develop, optimize, and sustain the semiconductor processes that drive yield, quality, cost, and productivity by solving complex technical challenges and partnering across equipment, integration, manufacturing, and supplier teams. As part of Micron's AI-enabled ecosystem, Fab Process Engineers leverage AI-assisted process monitoring, SPC/FDC insights, and data analytics to optimize process stability, yield, quality, cost, and productivity across wafer fabrication.
RESPONSIBILITIES
  • Develop, optimize, and sustain fabrication process steps for yield, quality, cost and productivity

  • Drive step-level process changes, validate new technology node readiness, evaluations and lead continuous improvement initiatives

  • Investigate yield and defectivity issues by tracking process performance with methods like FMEA, 8D, SPC, FDC, APC

  • Apply data analytics to prevent recurring issues and minimize production downtime

  • Manage qualifications and process control plans

  • Hit production targets during ramp and transitions, and protect cycle time, throughput and product quality

  • Partner and collaborate across functions (Process, Manufacturing, Facilities, Quality, Maintenance teams) to resolve issues

  • Communicate findings and recommendations to stakeholders

MINIMUM REQUIREMENTS
Shown through education, internships, research, military, manufacturing, or professional experience.
  • Bachelor's degree or advanced certification in a related technical field OR equivalent technical military experience OR equivalent combination of education and relevant experience

  • Experience with SPC, FDC, FMEA, 8D

MINIMUM QUALIFICATIONS
Shown through education, internships, research, military, manufacturing, or professional experience.
  • Semiconductor process development, process flow, recipe management

  • Quality management methodologies such as SPC, FDC, FMEA, 8D

  • Data analysis, interpreting results, continuous improvement

  • Collaboration and teamwork across different functions

  • Effective communication with a customer and stakeholder focus

  • Takes ownership and initiative, adaptable to new environments

  • Attention to detail, analytical thinking

  • Preferred disciplines include Electrical Engineering, Mechanical Engineering, Chemical Engineering, Materials Science, Manufacturing, Mechatronics, Industrial Engineering

PREFERRED QUALIFICATIONS
Experience or exposure to one or more of:
Semiconductor process areas (Photo, CVD, PVD, Diffusion, Implant, Etch, CMP, Wet), High-volume manufacturing, DRAM development, SPC, FDC, APC, Metrology & inspection, JMP & data analytics, Machine learning, Process qualification

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