Staff Engineer, Physical Design Engineering

9 - 12 years

14 - 19 Lacs

Posted:1 day ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Analog Devices Digital Business Unit (DBU) is seeking a Staff STA Engineer to lead timing sign-off and closure for complex mixed-signal SoCs manufactured on advanced process nodes and operating at high-speed clock rates. These SoCs integrate multiple processor cores and high-performance signal processing hardware. The role ensures that designs meet timing, signal integrity, and reliability requirements through advanced analysis and optimization techniques.
Key Responsibilities
  • Perform full-chip and block-level STA for multiple modes and corners.
  • Analyze and resolve setup, hold, and clock domain crossing (CDC) issues.
  • Create and validate timing constraints (SDC) for synthesis and P&R flows.
  • Execute timing sign-off using industry-standard tools (eg, PrimeTime, Tempus).
  • Implement ECOs for timing fixes and validate changes.
  • Collaborate with RTL, physical design, and DFT teams to ensure timing requirements are met.
  • Develop automation scripts (TCL, Python, Perl) to streamline STA tasks and improve efficiency.
  • Address challenges related to OCV, AOCV, POCV , and multi-voltage domains.
Position Requirements
  • Education : B.Tech/M.Tech in Electrical/Electronics Engineering.
  • Experience : 9-12 years in STA and physical design implementation for high-speed SoCs on advanced nodes (28nm, 22nm, 16nm, 10nm, 5nm).
  • Strong expertise in Static Timing Analysis , constraint development, and sign-off.
  • Ability to innovate flows to meet QoR targets and ensure predictability.
  • Good understanding of device/interconnect and circuit aspects of UDSM technologies.
  • Proficiency in TCL, Python , or other scripting languages.
  • Excellent communication skills and ability to work in a cross-functional global team .
  • Experience with low-power design techniques (UPF/CPF).
  • Familiarity with signal integrity and power integrity analysis .
  • Knowledge of advanced process nodes and variation modeling .
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