CVD Equipment Engineer
- Austin, TX, United States
$90,000 to $160,000 USD / year
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Job details
- Pay
- $90,000 to $160,000 USD / year
- Posting language
- English
- Posted
Original job description
Required Skills & Experience
A bachelor’s degree in an engineering discipline is required, with Mechanical Engineering preferred, along with 5+ years of equipment engineering experience in a high-volume semiconductor manufacturing environment. Candidates must have hands-on experience with Applied Materials Producer and/or Applied Materials Centura equipment. Strong troubleshooting and problem-solving skills are required, including the ability to analyze equipment performance data, isolate failures, and develop corrective action plans. Candidates should also have strong written and verbal communication skills, be comfortable training others and presenting technical information, and be able to manage multiple priorities while working closely with manufacturing technicians and process engineering teams.
Nice to Have Skills & Experience
Experience with Applied Materials Endura, Ultima, and RTA platforms is a plus. Previous experience with Lean Manufacturing, Six Sigma, capacity planning, equipment specifications, and cross-functional improvement initiatives is also highly desirable. An ideal candidate will be self-motivated, proactive, and able to bring creative solutions to equipment and manufacturing challenges.
Job Description
Insight Global is hiring for a CVD Equipment Engineer will support high-volume semiconductor manufacturing by identifying and reducing recurring equipment faults, improving tool reliability and availability, reducing defects, scrap, and overall cost, and supporting equipment installations and development activities. The role will define maintenance procedures, troubleshoot complex equipment issues, analyze tool performance data, and develop action plans to prevent repeat failures. This person will also train technicians and peers, develop equipment specifications, support capacity planning, implement Six Sigma statistical process control methods, and participate in or lead cross-functional and Lean improvement initiatives.
More about this job
Skills
- Mechanical engineering
- Troubleshooting
- Problem solving
- Communication skills
- Process engineering
- Lean manufacturing
- Troubleshoot
- Statistical process control