Engineer, Process Sustaining Engineering

Analog Devices•Beaverton, OR

2d•Onsite

About The Position

Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at www.analog.com and on LinkedIn and X.

Requirements

Bachelor’s in Physics, Chemistry, Materials Science, Electronics, or a related engineering field of study.
2+ years of semiconductor manufacturing experience in photolithography, with preference for TEL ACT8 track, die coat polyimide and spin on glass experience
Good understanding of photolithography theory and process knowledge
Able to work on-site in cleanroom

Nice To Haves

Excellent communication and teamwork skills
Demonstrated technical leadership skills and ability to productively engage with individuals from a range of backgrounds.
Ability to manage multiple projects simultaneously and work independently with a high degree of ownership
Flexibility to learn new systems, platforms and processes
Able to adapt to frequently changing environment
Self-starter with a strong work ethic who will thrive in a dynamic 24/7 operation
Strong knowledge and past ownership of photolithography track tool is desired

Responsibilities

Sustaining high volume wafer manufacturing by providing technical expertise in photolithography processes
Developing improvements to manufacturing processes and modifications to production process flows to improve yield, quality, cost, and cycle time
Root cause investigation of discrepant material and implementation of quality improvement programs
Troubleshooting process shifts and applying SPC fundamentals to identify areas for improvement
Optimizing process to lower cost, maximize output, and match performance across tools
Qualifying new equipment and new processes
Analyzing cycle time and equipment overall operational efficiency