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, 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.
We are seeking a highly motivated Senior Engineer to develop, calibrate, and optimize compact models for bulk CMOS, BJT, and LDMOS devices used in RF, analog, automotive, and high-voltage applications. The successful candidate will combine expertise in semiconductor device physics, compact modeling, and AI/ML techniques to develop next-generation modeling methodologies and automation workflows. This position is part of Analog Devices’ Engineering Enablement organization based in Bangalore, India.
The role demands strong expertise in semiconductor device physics, circuit simulation, and industry‑standard compact models such as BSIM4, BSIM-BULK, PSP, and Mextram. The engineer will also be responsible for building and applying machine‑learning‑based modeling methodologies. This role combines device characterization, compact model development, and machine-learning methodologies to address challenging semiconductor modeling problems and improve modeling productivity.
Our global device‑modeling team consists of approximately 20 engineers located across various ADI sites. We are a diverse group of talented professionals, serving as the critical link between the process development teams and circuit designers. The team offers excellent opportunities for technical growth, innovation, and collaboration across global ADI organizations.
Responsibilities include, but are not limited to:
- Develop, enhance, and maintain compact models for CMOS, BJT, and LDMOS devices.
- Create semiconductor device compact models for SPICE simulators.
- Validate and correlate compact models against measured device data.
- Debug and resolve convergence challenges encountered during circuit simulations.
- Develop deep‑learning–based methods for parameter extraction and optimization.
- Apply machine learning workflows to accelerate the parameter‑extraction process.
- Build scripting tools to automate extraction tasks and generate reports.
- Produce comprehensive reports summarizing project results and findings.
Minimum Qualifications
- Ph.D. in Semiconductor Device Physics, Characterization, Modeling, or a related field.
- Skilled in optimization algorithms, data correlation, and automated extraction processes.
- Strong analytical skills, execution mindset, and sense of urgency
- Ability to collaborate across process, modeling, and PDK teams
Preferred Qualifications
- Experience with semiconductor device characterization and measurement techniques.
- Experience with Python and Verilog-A programming
- Experience developing deep-learning, neural-network, and scientific machine-learning solutions using modern frameworks such as PyTorch, TensorFlow, or JAX.
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.
Job Req Type: ExperiencedRequired Travel: Yes, 10% of the time
Shift Type: 1st Shift/Days
Skills Required
- PhD in Electrical Engineering or Applied Physics
- Strong device physics background
- Expertise in high-voltage LDMOS and CMOS modeling
- Experience modeling electrothermal, piezoelectric, and bipolar device behavior
- Strong knowledge of Python programming
- Familiarity with SPICE-like circuit simulators
Analog Devices Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Analog Devices and has not been reviewed or approved by Analog Devices.
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Retirement Support — The 401(k) program is described as a standout feature, with company contribution up to 8% of base salary and immediate vesting. This structure strengthens long-term value even when cash compensation perceptions vary.
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Healthcare Strength — Health coverage is positioned as comprehensive, including medical, dental, and vision options along with disability and life insurance. Day-one eligibility and multiple plan choices add to perceived robustness.
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Leave & Time Off Breadth — Paid time off appears broad, with vacation ranging from roughly 17–25 days and increasing up to five weeks with tenure, alongside sick time and paid holidays. Parental leave and related time-off provisions further expand coverage.
Analog Devices Insights
What We Do
Analog Devices, Inc. (NASDAQ: ADI) operates at the center of the modern digital economy, converting real-world phenomena into actionable insight with its comprehensive suite of analog and mixed signal, power management, radio frequency (RF), and digital and sensor technologies. ADI serves 125,000 customers worldwide with more than 75,000 products in the industrial, communications, automotive, and consumer markets. ADI is headquartered in Wilmington, MA.
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