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Process Engineer I/II – Photolithography
| Company | Atomica |
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| Location | Goleta, CA, USA |
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| Salary | $75000 – $115000 |
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| Type | Full-Time |
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| Degrees | Bachelor’s |
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| Experience Level | Junior, Mid Level |
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Requirements
- Degree in Engineering, Physics, Materials Science, Chemistry or other relevant physical science
- BA/BS with a minimum of 3 years relevant industry experience
- Hands-on experience in wafer lithography processing
- Strong experience in data analysis and demonstrated critical thinking skills
- Background in MEMS or CMOS development or manufacturing
- Strong Knowledge of Micro-Electro-Mechanical Systems (MEMS) or semiconductor photolithography process
- Focused, self disciplined, multi tasking, and work collaboratively with cross-functional teams of various backgrounds
- Effective use of problem solving tools, eg six sigma, PDCA, DMAIC.
- Ability to work in both a clean room environment and an office environment
- Must be able to don and wear Personal Protective Equipment as required.
- Each additional level of education will be considered in lieu of industry experience
- SPC and JMP experience
- Ability to clearly communicate
- US person as defined by the International Traffic in Arms Regulations
Responsibilities
- Tool Health and predictive process management including daily SPC monitoring, Cpk improvement and troubleshooting process and tool issues
- New equipment/technology selection, installation, operational qualification, process qualification and tool matching.
- Improve process robustness through characterization, cornering and DOE’s.
- Collaborate broadly to standardize equipment recipes, processes, and layers (multi-step) to reduce complexity / cost and reduce development lead time and effort
- Monitor and improve the efficiency, output and safety of manufacturing processes through observations and measurements of data
- Ensure close interaction with equipment suppliers. Supplier management – own escalation and work together on resolution of tool issues.
- Mentor and coach Technicians to teach best practices for quality control and manufacturing
- Data analysis and presentation during product development and production support
- Implementing Lean Six Sigma mindset and processes
Preferred Qualifications
No preferred qualifications provided.
