Staff Engineer, Research Science Engineering

About Analog Devices

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, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible™. Learn more at www.analog.com and on LinkedIn and Twitter (X).

          

Staff Modeling Engineer

We are seeking a motivated, experienced SPICE Modeling Engineer to support advanced process development in Analog Devices Inc (ADI).  We are particularly interested in candidates with expertise in Silicon device modeling in devices such as high-voltage MOS/LDMOS, Bipolars, JFETs, and in the inter-device cross-coupling through parasitic bipolar action in monolithic silicon.  The candidate must excel at device physics and be eager to have hands-on experience with electrical and high frequency measurements and explore the limitation of electronic instruments. We are the ADI global modeling team at various US, Ireland and India locations, and this position is located in our offices in Beaverton, Oregon, US.

Responsibilities and Duties include but not limited to:

• SPICE transistor modeling, LDMOS, CMOS, BJT, JFET, resistors, capacitors.  Particular attention is given to high-voltage LDMOS, Bipolar and JFET modeling for this position.
• Characterization and analysis of same devices, including high frequency characterization (S-Parameters).
• Characterization and modeling which involves multi-physics disciplines (electrical, thermal, mechanical).
• Long-term device degradation modeling for LDMOS and Bipolars.

Minimum Qualifications: 

• PhD (or Master with 5+ years of working experience) in Electrical/Electronic Engineering or Applied Physics with strong device physics background.

Preferred Qualifications:

• Experienced device modeling expert with PhD in Electrical Engineering or Applied Physics, and with strong physical intuition of electrothermal, piezoelectric, and bipolar device action.  Process Engineering experience and programming skill in Python and similar languages is a plus. Experience in machine learning and AI is a plus.

For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export  licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls.  As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process.

Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.

EEO is the Law: Notice of Applicant Rights Under the Law.

Job Req Type: Experienced

          

Required Travel: Yes, 10% of the time

          

Shift Type: 1st Shift/Days

The expected wage range for a new hire into this position is $125,250 to $187,875.

• Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors.

• This position qualifies for a discretionary performance-based bonus which is based on personal and company factors.

• This position includes medical, vision and dental coverage, 401k, paid vacation, holidays, and sick time, and other benefits.