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STA methodology engineer

Bengaluru · Staff/Principal

Older listing - lower visibility likelyVerified listingPosted 509d ago

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Skills required

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Python (Programming Language)Electronic Design Automation (EDA) Software
Python (Programming Language)Electronic Design Automation (EDA) Software

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Job description

Job Title: STA Methodology Engineer

Team: CTO-DE-FDIP-Logic Libraries
Location: Bengaluru
Experience Level: 10–12 Years
Employment Type: Full-Time

Role Overview:

We are seeking a highly skilled and experienced STA Methodology Engineer to join our CTO-DE-FDIP-Logic Libraries team. In this role, you will be responsible for benchmarking various logic libraries across multiple technology nodes (40nm, 14nm, 10nm, 7nm, 5nm) using synthesis and PNR-based flows on real-world chips and blocks. You will collaborate closely with Timing Methodology and Signoff teams to ensure robust and efficient STA methodologies.

Key Responsibilities:

  • Benchmark logic libraries across advanced technology nodes using synthesis and PNR flows.
  • Collaborate with cross-functional teams to validate and refine timing constraints.
  • Develop and maintain benchmarking frameworks for constraint validation and STA methodology evaluation.
  • Perform comprehensive STA including timing analysis, DRCs, annotation issues, multivoltage flow enablement, noise and crosstalk analysis using Logic Libraries Integration flow checks.
  • Contribute to the development and automation of STA flows and methodologies.

Required Qualifications:

  • Bachelor’s or Master’s degree in Electrical or Electronics Engineering.
  • 10–12 years of hands-on experience in STA, with proven tape-out experience as a block owner or lead.
  • Deep understanding of STA concepts, timing constraints, and closure methodologies at both block and SoC levels.
  • Proficient in handling timing-related issues such as DRCs, annotation, multivoltage flows, noise, and crosstalk.
  • Strong collaboration skills and ability to work across teams to drive methodology improvements.

Preferred Skills:

  • Proficiency in Python scripting.
  • Overview/understanding of AI/GenAI would be added advantage.
  • Experience in developing or enhancing STA flow automation.
  • Familiarity with industry-standard EDA tools and flows.

Soft Skills:

  • Self-motivated with a proactive approach to problem-solving.
  • Strong communication and interpersonal skills.
  • Ability to work independently and as part of a global team.


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Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreFree · sign in
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97Experience

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