Senior Engineer, RTL Power Estimation Methodology

5 - 10 years

12 - 17 Lacs

Posted:3 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

  • Develop and maintain RTL power estimation methodologies using industry-standard tools (e.g., Synopsys, Cadence, Ansys).
  • Work with design teams to define power analysis strategy, monitor early power trends, and deliver actionable feedback.
  • Automate power estimation and reporting flows integrated into regression infrastructure.
  • Validate and correlate RTL power estimates with gate-level and post-layout results.
  • Support power-aware verification and ensure alignment with UPF/CPF-based power intent.
  • Collaborate with multi-functional teams (design, verification, PD, DFT) to drive power closure.
  • Develop documentation, training materials, and standard methodologies to enable global adoption.

Required Skills and Experience :

  • proven experience in RTL power estimation, analysis, or methodology development.
  • Hands-on experience with power estimation tools such as Synopsys PrimePower, Cadence Joules, Ansys PowerArtist, etc.
  • Strong understanding of RTL design, power intent formats (UPF/CPF), and switching activity generation (VCD/SAIF).
  • Proficiency in scripting languages such as Python, Perl, or TCL for automation.
  • Solid debugging and analytical skills to interpret and optimize power numbers.
  • Familiarity with digital design flow, simulation, and verification concepts.
  • Effective communication and teamwork skills.

Nice To Have Skills and Experience :

  • Experience with power-aware verification and formal techniques.
  • Knowledge of gate-level power estimation and correlation techniques.
  • Exposure to AI/ML-based power optimization or prediction models.
  • Familiarity with SoC-level integration challenges and power modeling for IPs.
  • Contributions to flow development in large-scale or multi-site environments.
  • Prior experience working in automotive, mobile, or high-performance compute SoCs.

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ARM Embedded Technologies

Technology / Embedded Systems

San Jose

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