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Celero Communications

Coherent DSP chips powering AI interconnects

Principal Physical Design Engineer

Silicon & ASIC DesignConfirmed live in the last 24 hours
Full-timeIrvine, CA, USA$150k - $250k /yrIn-person

About the Job

Requirements

  • At least 7 years of relevant ASIC physical design experience, depending on degree level.
  • Deep tapeout experience in advanced technology nodes such as 7nm, 5nm, or 3nm.
  • Advanced proficiency with industry-standard electronic design automation tools, including Cadence Innovus, Tempus, Voltus, Pegasus, and Calibre.
  • Expertise in physically aware synthesis, power domain analysis, and electromigration/IR-drop cleanup.

Responsibilities

  • Own physical implementation of systems-on-chip or complex digital blocks.
  • Manage floor planning, bump planning, power grid design, and clock tree synthesis to optimize chip performance.
  • Resolve timing, congestion, and electromigration/IR-drop issues with front-end designers.
  • Run static timing analysis and physical verification; fix design rule checking and layout versus schematic violations.
  • Drive automation and improve flow robustness using Tcl, Python, or Perl.
  • Partner with architects, logic designers, and analog design teams for tape-out readiness.
  • Define physical design methodologies, mentor engineers, and ensure successful tape-out of next-generation semiconductor products.

About the Company

Celero Communications

Coherent DSP chips powering AI interconnects

Celero Communications designs chips that boost data center connectivity for AI workloads by using coherent DSPs to translate light signals from fiber into electrical data that computers can use. The chips embed algorithms to process optical signals over existing fiber networks, enabling high-bandwidth, long-distance data transfers between AI infrastructure clusters with lower power use. It differentiates itself by focusing on coherent DSP-based optical interconnects for large-scale AI data centers, combining deep analog and digital design expertise from industry veterans and global design centers. Its goal is to make fiber connections faster and more energy-efficient for massive AI deployments, reducing costs as cloud AI accelerators scale up.

Company size
51-200
Company stage
Series C
Total funding
$415M
Headquarters
Irvine, CA
Founded
2024

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