GPU Physical Design Engineer (Senior/Lead)
Qualcomm
Bengaluru, Karnataka, India2+ yrs58m agovia LinkedIn
About the Role
Qualcomm's GPU team is seeking experienced Physical Design Engineers to drive implementation and physical signoff of next-generation high-performance GPU designs. The role involves close collaboration with RTL, STA, DFT, Power, and SoC teams to achieve aggressive PPA targets and successful tapeouts.
Key Responsibilities
- Physical Implementation activities for high performance GPU Core, including Floor-planning, Place and Route, CTS, Formal verification, Physical Verification (DRC/LVS), PDN, Timing Closure, and power optimization.
- Drive implementation of PPA critical Cores and make PPA trade-off decisions.
- Achieve timing convergence of high frequency data-path intensive Cores using advanced STA concepts.
- Collaborate with design, DFT, and PNR teams to resolve issues related to constraints validation, verification, STA, and Physical design.
- Handle technical deliverables within a small team of engineers.
Requirements & Tech Stack
- Physical Implementation
- Floor-planning
- Place and Route (PnR)
- Clock Tree Synthesis (CTS)
- Formal Verification
- Physical Verification (DRC/LVS)
- Power Delivery Network (PDN)
- Timing Closure
- Power Optimization
- Synopsys ICC2 or Cadence Innovus
- PrimeTime SI (PTSI) or Tempus
- Tcl/Perl Scripting
- Advanced STA Concepts
- Clocking Architecture
Qualifications
- Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 4+ years of Hardware Engineering or related work experience.
- OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 3+ years of Hardware Engineering or related work experience.
- OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience.
- 3+ years of experience in Physical Design/Implementation.
- Strong expertise in timing convergence of high frequency data-path intensive Cores.
- Good understanding of clocking architecture.
- Strong problem-solving skills.
- Good communication skills.
- Experience working as part of a larger team and working towards project milestones and deadlines.