Samsung ElectronicsCleans Equipment Engineer - Day
Samsung Electronics is hiring a Cleans Equipment Engineer - Day. It pays $76k-$120k a year and Level rates it ; you can apply on Samsung Electronics.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- Tools and skills the posting cites include Python, VBA and Spotfire.
- Level classifies it as a mid-level role.
- Level lists 596 other open roles at Samsung Electronics.
AI in this role
Monitor and maintain wafer fabrication equipment while driving yield enhancement and process improvements.
About Samsung Austin Semiconductor
Samsung is a world leader in advanced semiconductor technology, founded on the belief that the pursuit of excellence creates a better world. At Samsung Austin Semiconductor, we are Innovating Today to Power the Devices of Tomorrow.
Come innovate with us!
Position Summary
Seeking an equipment engineer interested in working alongside a talented team of professionals with a key focus on establishing and maintaining world class process/equipment and implementing yield enhancement as a competitive advantage along with ability to identify complex problems and implementing solutions.Role and Responsibilities
Here's what you'll be responsible for:
Monitoring the wafer fabrication equipment and respond to issues
Qualifying new manufacturing equipment
Coordinating the scheduling of equipment qualifications and equipment down time with manufacturing
Utilizing software to analyze data, identify trends to make decisions about processing product.
Adjusting equipment parameters as needed when exceeded and monitors process parameters when tools return from maintenance.
Executing in line changes (CPM) to the process or equipment.
Communicating technical information within the department through presentations.
Continuously revising Standard Operating Procedures (SOPs)
Developing improved processes to increase capability.
Monitoring operations costs and develop cost reduction projects
Skills and Qualifications
Additional Job DescriptionHere's what you'll need:
2+ years work experience
BS or MS in Chemical, Mechanical, Electrical, or Industrial Engineering, Physics, Chemistry, Material Science, or Computer Science w/3.0 GPA or higher
Experience scripting in Python, VBA, or equivalent language
Understanding of statistical methods
Experience with Change Point Management
Good Presentation and Technical Writing skills
Understanding of Lean, TPS, or 5S principles
Exposure to Structure Problem Solving (8D, 7-step, etc..)
Experience with Data Analysis software (Spotfire, JMP, Matlab, etc.
Experience Troubleshooting Equipment or Process failures
Ability to wear clean room suit and Personal Protective Equipment (PPE) per the SAS FAB protocol and be able to lift < 35 lbs
The current base salary range for this role is between $76,000.00 - $120,000.00. Individual base pay rates will depend on factors including duties, work location, education, skills, qualifications and experience. Total compensation for this position will include a competitive benefits package and may include participation in company incentive compensation programs, which are based on factors to include organizational and individual performance.
Total Rewards
At Samsung Austin Semiconductor, base pay is just one part of our total compensation package. The base compensation for this role will depend on education, experience, skills, and location.
We offer a comprehensive benefits package, including:
Medical, dental, and vision insurance
Life insurance and 401(k) matching with immediate vesting
Onsite café(s) and workout facilities
Paid maternity and paternity leave
Paid time off (PTO) + 2 personal holidays and 10 regular holidays
Wellness incentives and MORE
Eligible full-time employees (salaried or hourly) may also receive MBO bonuses based on company, division, and individual performance.
All positions at Samsung Austin Semiconductor are full-time on-site.
U.S. Export Control Compliance
This role may require access to information subject to U.S. export control laws. Applicants must be authorized to access such information or eligible for government authorization.
Trade Secrets Notice
By submitting an application, you agree not to disclose to Samsung—or encourage Samsung to use—any confidential or proprietary information (including trade secrets) belonging to a current or former employer or other entity.
* Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here.
* Samsung Electronics America, Inc. and its subsidiaries are committed to Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.
How we rate this
Cleans Equipment Engineer - Day at Samsung Electronics rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where equipment engineering was part of your work. What did you do?
- Tell me about a project where data analysis was part of your work. What did you do?
- Tell me about a project where troubleshooting was part of your work. What did you do?
- Tell me about a project where statistical methods was part of your work. What did you do?
- Tell me about a project where lean was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Equipment Engineering, Data Analysis, Troubleshooting, Statistical Methods, and Lean. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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