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IntelPosted 1 week ago

CPU Physical Design Engineer

HybridBengaluru, Karnataka, India

Full TimeDoctorate Or Professional DegreeEnterpriseTECH

Job Summary

Implement high-performance, low-power CPU designs from RTL to GDSII, managing synthesis, placement, routing, clock tree synthesis, and optimization. Conduct static timing analysis, power distribution analysis, and reliability verification to ensure design convergence and manufacturability. Collaborate with logic, circuit, architecture, and automation teams to improve microarchitectures and design methodologies while working with industry-leading EDA vendors to enhance tool capabilities. Optimize designs for power, frequency, and area, and participate in developing physical design methodologies and flow automation. Join the Advanced Computing and Engineering group in Bangalore, India, working within a hybrid model.

Required Qualifications

  • Bachelor's degree in Electrical, Electronics, or Computer Engineering
  • 6+ years of physical design experience
  • Master's degree
  • 4+ years of relevant experience
  • PhD
  • 2+ years of experience
  • Technical expertise in synthesis
  • Technical expertise in placement
  • Technical expertise in clock tree synthesis (CTS)
  • Technical expertise in routing tools
  • Experience with Synopsys platforms
  • Experience with Cadence platforms
  • Proficiency in timing signoff
  • Proficiency in formal verification
  • Proficiency in low-power design techniques
  • Solid understanding of submicron process node technologies
  • Knowledge of layout verification methods such as LVS/DRC
  • Skilled in power estimation
  • Skilled in power optimization
  • Skilled in power delivery methodologies
  • Must be able to work effectively in dynamic environments across geographies

Desired Qualifications

  • Familiarity with scripting languages like Tcl, Perl, and Python for automating physical design workflows
  • Experience with Verilog or VHDL for hardware description and design execution
  • Strong communication skills, both verbal and written, for collaborative problem-solving
  • Knowledge of innovative feature feasibility studies and SD flow methodologies

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