Physical Design Engineer, ASIC
Full Time
Mid Level
2+ years
Posted 3 weeks ago
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As a Physical Design Engineer, you will contribute to the physical design of blocks and the full chip from RTL-to-GDS, collaborating with internal and external teams to optimize power/performance analysis (PPA). This role is critical in driving cutting-edge TPU technology for Google's AI/ML applications.
Responsibilities
- Participate in the physical design of blocks
- Contribute to the design and closure of the full chip and individual blocks from RTL-to-GDS
- Collaborate with internal logic and internal and external teams to achieve the best power/performance analysis (PPA)
- Conduct feasibility studies for new microarchitectures and optimizing runs for finished RTL
- Collaborate with RTL, design for testing (DFT), floorplan, and full-chip Signoff teams
- Solve technical problems with micro-architecture and practical logic circuits solutions
- Evaluate design options with optimized performance, power, and area in mind
Requirements
- 2 years of experience with physical design (e.g., from RTL to GDSII, including key stages like floor planning, place and route, and timing closure)
- Experience in Python, Tcl, or Perl scripting
Qualifications
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
- 2 years of experience with physical design (e.g., from RTL to GDSII, including key stages like floor planning, place and route, and timing closure)
Nice to Have
- Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture
- Experience with Synopsys/Cadence PnR tools and backend flows (e.g., LEC, PI/SI, DRC/LVS, etc.)
- Experience working with external partners on physical design (PD) closure
- Experience in static timing analysis (STA), with an understanding of how to define timing corners, margins and derates
- Understanding of DFT including Scan, MBIST and LBIST
- Understanding of performance, power and area (PPA) trade-offs
Skills
Python
*
Tcl
*
Perl
*
LEC
*
Synopsys PnR
*
Cadence PnR
*
PI/SI
*
DRC/LVS
*
* Required skills
Benefits
Equity
Benefits
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