NXP
STA methodology engineer
India · Work style not stated · Full time
Posted over 6 months ago: check it’s still open
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About the role
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- EmployerNXP
- LocationIndia
- Work styleWork style not stated
- Employment typeFull time
- Employer posted
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.
Show full description
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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At a glance
- Employment typeFull time
- Employer posted
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