ML/AI Timing and Power Flow Expert

About the role

We are seeking a highly skilled ML/AI Timing and Power Flow Expert with deep expertise in flow development, timing, power, library generation, and UPF-based methodologies, along with strong enthusiasm for applying ML/AI techniques to improve flow efficiency, debug productivity, and overall QoR.

Responsibilities

• Develop, enhance, and maintain robust timing and power flows across the physical design and signoff lifecycle.
• Own and drive STA flows, including timing setup, analysis, and timing collateral generation.
• Design and implement power-aware flows, including UPF integration, power intent validation, and comprehensive power/timing reporting.
• Lead standard-cell and macro library generation and characterization flows, including: Timing, power, noise, and constraint characterization, Validation and quality checks for signoff readiness, Integration of characterized libraries into STA and power flows.
• Build and maintain scalable, automated flow infrastructure using strong coding and software engineering practices.
• Apply ML/AI-driven approaches to: Accelerate flow development and turnaround time, Improve debug efficiency for timing, power, library, and convergence issues, Enable smarter analysis, anomaly detection, and trend identification in timing, power, and library data, Generate, analyze, and review timing, power, and library reports, ensuring accuracy, consistency, and signoff quality.
• Collaborate closely with PD, STA, library, power, and methodology teams to continuously improve flows and usability.
• Debug complex timing, power, library, and flow issues across multiple design stages and configurations.

Qualifications

• Bachelor’s Degree in Electrical Engineering, Computer Engineering, Computer Science, or related field with 8+ years of relevant industry experience in ASIC or FPGA timing/power/library flow development.
• 6+ years of experience in timing and power flow development and methodology.
• 6+ years of experience with industry-standard STA, power analysis, and library characterization tools.
• 6+ years of experience with excellent coding practices (Tcl, Python, Perl, or similar), focused on clean, reusable, and maintainable flow infrastructure.
• 6+ years of experience with deep understanding of timing concepts, STA methodologies, timing constraints, and timing collateral generation.
• 6+ years of experience in power analysis, optimization techniques, and comprehensive power reporting methodologies.
• 6+ years of hands-on experience with library generation and characterization, including timing, power, and noise model development and validation.
• 6+ years of experience working with UPF, including multi-power-domain designs and power intent modeling.
• 6+ years of experience in timing collateral generation, library integration into STA/power flows, and complex flow automation coding.
• Demonstrated ML/AI enthusiasm, with interest or experience in applying data-driven techniques to flow automation, debug, QoR prediction, or trend analysis.