Silicon Power & Characterization Lead

Tenstorrent · Semiconductors · Austin, TX +2 · Si Val / Qual

Tenstorrent is seeking a Lead Engineer to own post-silicon power characterization and correlation for AI semiconductor products. Responsibilities include developing and executing power measurement strategies, correlating silicon data with pre-silicon models, and driving improvements in power architecture and methodologies. The role requires deep understanding of silicon power domains and lab measurement techniques, with a focus on cross-functional collaboration.

What you'd actually do

  1. Own the post-silicon power measurement strategy end-to-end across operating modes, voltages, frequencies, and workloads.
  2. Build and maintain lab infrastructure, automated workflows, and data analysis pipelines for high-fidelity, repeatable power characterization.
  3. Correlate silicon power data to pre-silicon models (RTL, gate-level, sign-off), drive root-cause analysis, and refine power estimation methodologies with design and modeling teams.
  4. Characterize power across PVT corners and work with bring-up/validation teams to develop test content, debug power anomalies, and ensure products meet power and performance specs.

Skills

Required

  • Silicon power analysis and characterization
  • Lab-based power measurement (oscilloscopes, current probes, power analyzers, SMUs)
  • Python, Perl, or MATLAB for automation and analytics
  • Digital and mixed-signal power domains (DVFS, leakage vs. dynamic power, power gating)
  • Post-silicon power measurement strategy development
  • Data analysis pipelines
  • Correlation of silicon power data to pre-silicon models
  • Root-cause analysis
  • Power estimation methodologies
  • Characterization across PVT corners
  • Test content development
  • Debugging power anomalies
  • Communication of technical findings

Nice to have

  • Experience with RISC-V CPUs
  • Experience with AI hardware accelerators

What the JD emphasized

  • 8+ years in silicon power analysis and characterization
  • Master’s or PhD in EE, CE, or related field
  • Deep understanding of digital and mixed-signal power domains
  • Highly proficient in lab-based power measurement
  • Python/Perl/MATLAB for automation and analytics
  • strong debugger and collaborator
  • driving cross-functional investigations
  • clearly communicating technical findings
  • access to U.S. export-controlled technology