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Physical Design Engineer

Location
San Jose
Experience
3-5
Years
Job Code
22CSL05

Preferred Education:

  • Bachelor’s Degree in Electronics Engineering, Electrical Engineering or a closely related field.

Location:

  • CalSoft Labs, Inc., 2890, Zanker Road, Suite 200, San Jose, CA 95134, USA

Contact Person:

  • jobsus@altencalsoftlabs.com

Experience:

  • BS 3 to 5 years

Roles & Responsibilities:

  • Participate in Subsystem partitioning with Module port placement and Block level Floorplan and PnR design with timing, physical DRC fixes.
  • Manage Floorplan implementation with all kinds of experiments to meet the required modes for effectiveness (robust power grid with respect to PDN PPA/QOR). 
  • Utilize knowledge on all sign-off checks & Fixes (Formal Verification, Conformal Low Power check, Physical Verification, PDN and timing DRC fixes).
  • Utilize experience on recent Low-power process nodes (power gating, multi-Vt flow, power supply management, power collapsible design) and high band design.
  • Perform STA analysis using Primetime/Tempus and ECO implementation and responsible for fixing DRC’s, ERC, LVS issues.
  • Utilize knowledge in fixing design issues like Crosstalk, Electromigration (EM), Signal integrity, Antenna effects, Latchup Timing DRC’s and all Physical verification checks.
  • Develop scripts to automate execution tasks as project needs with help of Unix shell and tcl scripting.
  • Develop timing constraints and provide feedback based on RTL synthesis. Own IP block level floor planning, CTS and P&R optimizations to meet design specs.
  • Define, maintain, and update the generation and validation flow for standard cell physical design collaterals: NDM, LEF, Milkyway, OASIS, OALIB, etc.
  • Along with the partition ownership, would be responsible for enhancing/customizing the PD flow & methodology based on the project needs.
  • Resolve design and flow issues related to physical design, identify potential solutions, implement timing and functional ECOs, and drive the execution towards the most power efficient implementation.
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