Staff Engineer, Digital Design Engineering (AI/ML)

Responsibilities

• Apply AI/ML methodologies to improve synthesis results, timing closure, power estimation, and design space exploration
• Develop and implement digital subsystems for mixed-signal ICs, including control logic, digital interfaces, and on-chip processing blocks
• Execute RTL design, coding, and optimization in Verilog/SystemVerilog for performance, area, and power targets
• Perform synthesis with timing and placement constraints (Genus), static timing analysis and power analysis (Tempus), and logical equivalence checking (Conformal)
• Participate in architecture and design reviews, contributing technical analysis on timing, area, power, and testability trade-offs
• Collaborate with analog design teams to implement and integrate digital-analog interfaces and control architectures
• Required Skills and Experience
• MSEE or MSCE with 7+ years of digital IC design experience, or PhD with 5+ years (BSEE/BSCE with equivalent depth considered)
• Strong RTL design skills in Verilog/SystemVerilog with experience delivering complex digital subsystems
• Demonstrated ability to deliver digital designs through tape-out, silicon validation, and production release
• Solid scripting skills (Python, Tcl, shell) with experience applying AI/ML techniques to enhance productivity
• Knowledge of synthesis, static timing analysis, DFT (scan, ATPG, BIST), and clock domain crossing methodologies
• Proficiency with Cadence digital design tools: Genus, Innovus, Tempus, Conformal
• Excellent presentation, technical writing, and communication skills

Requirements

• Curiosity and initiative to explore AI/ML techniques and emerging tools that can transform design workflows, with an enthusiasm for discovering more effective ways of working
• Working knowledge of place-and-route (Innovus), floorplanning, and physical-aware design techniques
• Experience with low-power design techniques including multi-voltage domains, power gating, and UPF
• Familiarity with digital interfaces (I2C, SPI, UART) and mixed-signal SoC integration
• Strong analytical and problem-solving abilities
• Technical Scope
• Application of AI/ML-driven workflows to improve design quality, turnaround time, or coverage
• Block-level digital subsystem ownership from specification through silicon bring-up and production validation
• Clock domain crossing analysis, lint, and formal verification for multi-clock digital architectures
• DFT implementation including scan insertion, ATPG pattern generation, and fault coverage closure
• Collaboration and Impact
• Share AI/ML-driven improvements to digital design workflows and best practices with team members
• Work with analog design, verification, and applications teams to implement digital control architectures that meet system-level requirements
• Contribute to design reviews and cross-team technical discussions
• 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

Benefits

Additional Information

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 . As a Staff Digital Design Engineer, you will develop complex digital subsystems within ADI's mixed-signal and power management ICs. You will apply AI/ML techniques to improve design automation, optimization, and productivity across the digital design flow. Your work will contribute to products spanning multiple business units, directly supporting how ADI integrates advanced digital functionality into next-generation products.

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