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Publié hier

Physical Design Engineer

@ Mirafra Technologies

Canada

Temps plein
Postuler
SIGNAUX

En bref

Mirafra Technologies is hiring a full-time Physical Design Engineer focused on static timing analysis, timing closure on sub-nanometer nodes, and automating physical design flows in Tcl and Python with AI-assisted coding tools. The role requires a degree in electrical, computer or microelectronics engineering and strong STA and scripting skills.

Responsabilités :

  • Execute static timing analysis and timing signoff across implementation phases
  • Write and maintain Tcl and Python scripts for EDA tool flows
  • Analyze setup, hold, crosstalk, IR drop and clock path issues
  • Collaborate with RTL and synthesis teams on PPA optimization
  • Build regression tests and document automated methodologies

Résumé des exigences :

  • Bachelor's or Master's in electrical, computer or microelectronics engineering
  • In-depth STA knowledge with SDC and signoff tools
  • Strong Tcl and Python coding skills
  • Experience with Copilot or LLM-driven coding tools
  • Sound knowledge of digital CMOS and PnR flows

Outils et compétences

Source et dates

Type de source non vérifié · apify-linkedin

Date publiée par l’employeur
2026-11-12
Première détection par notre source
2026-11-14
Mise à jour du dossier source
2026-11-14

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

DomaineGénie
Heures par semaine40 (estimé)
Milieu de travailBureau
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
FormationBaccalauréat (exigé), Maîtrise (exigé)
Domaines d’étudesElectrical Engineering, Computer Engineering, Microelectronics

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

Mirafra Technologies

ChampValeur
Offres sur Jobsy4
Description

Role Overview

We are seeking a Physical Design Engineer with a strong foundation in Static Timing Analysis (STA) and a focus on design flow automation. In this role, you will be responsible for driving timing closure across complex, sub-nanometer process nodes while leveraging next-generation development tools. You will play a key role in developing, optimizing, and automating physical design workflows using Tcl and Python, incorporating AI-assisted development tools like GitHub Copilot to accelerate script delivery and engineering efficiency.

Key Responsibilities

  • Static Timing Analysis (STA): Execute timing signoff, constraint validation, multi-corner multi-mode (MCMM) analysis, and timing closure across all phases of physical implementation.
  • Flow Automation & Scripting: Write, maintain, and enhance robust automated scripts using Tcl and Python to streamline EDA tool flows (place & route, synthesis, signoff).
  • AI-Assisted Development: Utilize Copilot-assisted development tools to rapidly build, refactor, and test flow automation scripts, optimizing operational productivity.
  • Timing & Power Optimization: Analyze setup/hold violations, crosstalk, IR drop, and clock path issues, collaborating closely with RTL and synthesis teams to achieve optimal PPA (Power, Performance, Area).
  • Process Improvement: Standardize scripting frameworks, build continuous regression tests for physical design tools, and document automated methodologies for the broader team.

Qualifications

Required Skills & Experience:

  • Education: Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Microelectronics, or a related field.
  • Core STA Expertise: In-depth understanding of Static Timing Analysis principles, timing constraints (SDC), clock jitter, skew, cross-talk noise, and signoff methodologies using industry tools (e.g., Synopsys PrimeTime or Cadence Tempus).
  • Scripting Proficiency: Strong hands-on coding ability in Tcl (for EDA tool integration) and Python (for data processing and workflow automation).
  • Modern Development Tooling: Direct experience or strong familiarity with Copilot-assisted coding/script development tools (or LLM-driven coding tools) to write, debug, and optimize scripts efficiently.
  • VLSI Fundamentals: Sound understanding of digital CMOS logic, place and route (PnR) flow fundamentals, and physical verification concepts.

Preferred Qualifications:

  • Experience with automated tool API integrations (e.g., Synopsys ICC2/Fusion Compiler, Cadence Innovus APIs).
  • Experience implementing CI/CD pipelines or automated regression frameworks for hardware design flows.
  • Background in Git or modern version control systems for managing Tcl/Python script repositories.

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