STA Methodology Engineer

Role Overview

We are looking for a proficient and experienced STA Methodology Engineer to join the CTO-DE-FDIP-Logic Libraries team based in Bengaluru. The role involves benchmarking various logic libraries across advanced technology nodes such as 40nm, 14nm, 10nm, 7nm, and 5nm by utilizing synthesis and place-and-route flows on actual chip and block designs. The engineer will work closely with Timing Methodology and Signoff teams to ensure the effectiveness and robustness of STA methodologies.

Key Responsibilities

• Conduct benchmarking of logic libraries across multiple advanced technology nodes using synthesis and place-and-route flows.
• Collaborate with cross-disciplinary teams to confirm and improve timing constraints.
• Create and maintain benchmarking frameworks for validating constraints and evaluating STA methodologies.
• Perform detailed static timing analysis including timing checks, design rule checks, annotation validation, multivoltage flow support, noise and crosstalk analysis via logic libraries integration flow verifications.
• Contribute to developing and automating STA flows and methodologies.

Required Qualifications

• Bachelor’s or Master’s degree in Electrical or Electronics Engineering.
• 10 to 12 years of extensive experience in static timing analysis, with a record of successful tape-outs as a block owner or lead.
• Strong knowledge of STA concepts, timing constraints, and closure techniques at both block and system-on-chip levels.
• Expertise in resolving timing-related issues such as design rule checks, annotation problems, multivoltage flow enablement, noise, and crosstalk.
• Excellent teamwork skills with the ability to work cross-functionally to enhance methodologies.

Preferred Skills

• Proficiency in Python programming for automation and scripting.
• Basic awareness or understanding of Artificial Intelligence or General AI is advantageous.
• Experience with automation or improvement of STA flows.
• Familiarity with industry-standard electronic design automation (EDA) tools and flows.

Soft Skills

• Self-driven with a proactive problem-solving mindset.
• Strong verbal and written communication as well as interpersonal abilities.
• Capability to work independently and within a global team environment.