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STA methodology engineer

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Onsite

STA methodology engineer

Kinara.ai

STA methodology engineer

Skills

NodePythonAI

1 year ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

14 October 2026

What they need


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.

More information about NXP in India...

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