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Technical Lead I - VLSI PD CAD AI/ML
Accepting applicationsUST · Hyderabad, Telangana, India
Full-Time Associate AICadencePerlPythonRTL
Estimated market salary
₹34-61 LPA
This is a SiliconBoard market estimate, not an employer-posted salary.
Posted
15 Jun
Category
Eda
Experience
Associate
Country
India
Role Description
Develop and deploy ML-driven automation to accelerate place-and-route and related physical design flows.
Build end-to-end ML solutions including data collection, feature engineering, model training, evaluation, deployment, and monitoring.
Integrate LLMs and apply prompt engineering to enable automation, decision support, and developer/operator tooling.
Design and implement workflow automation and change-management systems to handle design variants, constraints, and sign-off processes.
Collaborate with physical-design engineers, CAD tool owners, and MLOps/DevOps teams to embed ML capabilities into CAD flows.
Run reproducible experiments, maintain benchmarks and metrics, perform error analysis, and iterate on models and features.
Required Qualifications
1-2 years of hands-on experience in physical design/CAD (place-and-route, floorplanning, timing and congestion analysis) or equivalent design execution experience.
1-2 years of experience developing ML models and ML pipelines, with practical experience in feature engineering and model evaluation.
Strong proficiency in Python and familiarity with modern ML libraries/frameworks.
Practical experience with LLMs and prompt engineering for automation or workflow augmentation.
Good software engineering practices (modular code, unit tests, git).
Strong problem-solving skills and the ability to translate domain problems into data/ML solutions.
Effective written and verbal communication skills.
Preferred Qualifications
Prior exposure to EDA tools and vendors (Synopsys, Cadence) and scripting for tool flows (TCL, Perl, Python).
Experience with RTL-to-GDS physical-design flow optimization or signoff automation.
Advanced degree (MS/PhD) in Computer Science, Electrical Engineering, Data Science, or a related field.
Skills
vlsi design,machine learning,python,workflow automation,
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Develop and deploy ML-driven automation to accelerate place-and-route and related physical design flows.
Build end-to-end ML solutions including data collection, feature engineering, model training, evaluation, deployment, and monitoring.
Integrate LLMs and apply prompt engineering to enable automation, decision support, and developer/operator tooling.
Design and implement workflow automation and change-management systems to handle design variants, constraints, and sign-off processes.
Collaborate with physical-design engineers, CAD tool owners, and MLOps/DevOps teams to embed ML capabilities into CAD flows.
Run reproducible experiments, maintain benchmarks and metrics, perform error analysis, and iterate on models and features.
Required Qualifications
1-2 years of hands-on experience in physical design/CAD (place-and-route, floorplanning, timing and congestion analysis) or equivalent design execution experience.
1-2 years of experience developing ML models and ML pipelines, with practical experience in feature engineering and model evaluation.
Strong proficiency in Python and familiarity with modern ML libraries/frameworks.
Practical experience with LLMs and prompt engineering for automation or workflow augmentation.
Good software engineering practices (modular code, unit tests, git).
Strong problem-solving skills and the ability to translate domain problems into data/ML solutions.
Effective written and verbal communication skills.
Preferred Qualifications
Prior exposure to EDA tools and vendors (Synopsys, Cadence) and scripting for tool flows (TCL, Perl, Python).
Experience with RTL-to-GDS physical-design flow optimization or signoff automation.
Advanced degree (MS/PhD) in Computer Science, Electrical Engineering, Data Science, or a related field.
Skills
vlsi design,machine learning,python,workflow automation,
Show more Show less