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.            Analog Devices is seeking a Design Engineer to lead methodology improvements for physical design across complex chip and SoC programs. This role is focused on improving the scalability, reuse, efficiency, and predictability of physical implementation flows used across teams and projects. The person in this role will work closely with physical design, CAD, STA, DFT, and design teams to identify gaps in current flows and methodologies, drive practical flow improvements, and establish repeatable best practices that can be adopted across projects. A strong physical design background is important, but the primary focus of the role is methodology leadership and flow enablement rather than day-to-day block ownership. Key Responsibilities • Methodology Leadership: Drive improvements to physical design methodology, with a focus on flow standardization, reuse, execution efficiency, and more predictable design closure across projects • Flow Development and Automation: Own the development, refinement, and maintenance of physical design flows, scripts, and automation that reduce manual effort and improve execution quality • Best Practice Definition: Define and document physical design guardrails, recommended methodologies, and repeatable flow practices for use across teams and programs • QoR and Flow Analysis: Analyze power, performance, area, timing, and congestion outcomes to identify methodology gaps and recurring flow limitations and drive durable improvements • Cross-Functional Enablement: Partner with physical design, CAD, STA, DFT, RTL, and project stakeholders to translate program needs into practical methodology improvements and support broader adoption across teams • Debug and Root Cause Resolution: Investigate recurring implementation and convergence issues, identify the underlying flow, methodology, or design contributors, and implement robust corrective actions • Technical Guidance: Provide guidance to engineers on methodology usage, flow adoption, debugging strategies, and physical design best practices that improve consistency across projects • Implementation Support: Provide targeted implementation support as needed to validate methodology changes, troubleshoot critical flow issues, and ensure proposed improvements are grounded in real project needs   Must Have Skills • Methodology and Flow Development: Strong experience developing and improving physical design flows, automation, and reusable implementation methods • Physical Design Foundation: Solid background in digital physical design fundamentals, including floor planning, placement, clock tree synthesis, routing, optimization, and timing closure • EDA Tool Experience: Experience with industry-standard physical design and signoff tools for implementation, analysis, and debug • Scripting and Automation: Strong scripting skills to automate workflows, improve productivity, and scale methodology improvements across teams • Systematic Problem Solving: Ability to analyze recurring implementation issues, identify root causes, and translate findings into durable methodology improvements • Cross-Functional Communication: Ability to work effectively across physical design, CAD, verification, and project teams to drive alignment and adoption • Technical Judgment: Ability to make sound tradeoffs across methodology quality, schedule, and implementation constraints   Preferred Education and Experience • Bachelor’s degree in electrical engineering, Computer Engineering, or a related field, with 8+ years of related experience • Master’s degree or PhD in Electrical Engineering, Computer Engineering, or a related field, with 5+ years of related experience • Experience supporting advanced-node or complex SoC implementation environments • Experience working with scripting languages such as Tcl or Python • Experience or interest in applying AI-based techniques, automation, or data-driven approaches to engineering workflows • Experience with Synopsys physical design tools preferred; comparable experience with Cadence implementation tools is also acceptable • Experience partnering across physical design, CAD, STA, DFT, and RTL/design teams​ We recognize that candidates may not meet every listed requirement. If you bring relevant experience and a willingness to learn, we encourage you to apply. 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 $116,960 to $160,820.• 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.