3 - 8 years
3 - 8 Lacs
Posted:3 weeks ago|
Platform:
On-site
Full Time
Key Responsibilities Execute full physical design flow for high-performance, low-power GPU cores, including floorplanning, placement & routing (PnR), clock tree synthesis (CTS), power planning, IR drop analysis, signal integrity, and timing closure. Perform multi-mode, multi-corner (MMMC) timing analysis and fix violations, implement ECOs, and ensure functional and design-for-test (DFT) constraints are met. Collaborate closely with design, DFT, and place-and-route teams to resolve constraint validation, verification, and physical design issues. Drive timing convergence and power, performance, and area (PPA) trade-offs in data-path intensive cores. Conduct formal and physical verification including DRC/LVS checks and power distribution network (PDN) analysis. Develop and maintain automated flows using scripting languages (Perl, Tcl) and shell scripting in Linux/Unix environments. Deliver physical design solutions aligned with project milestones while working collaboratively in a multi-engineer team. Minimum Qualifications Bachelor's degree or higher in Electrical/Electronics Engineering, Computer Science, or a related field. 4+ years of hardware engineering experience for Bachelor's degree holders, or 3+ years for Master's degree holders, or 2+ years for PhDs. Strong expertise with industry-standard physical design tools such as Synopsys ICC2, Cadence Innovus, PTSI, and Tempus in advanced technology nodes. Proven experience in physical implementation of high-performance GPU or similar complex cores, including timing closure and power optimization. Deep understanding of clocking architectures and advanced static timing analysis (STA). Proficiency in scripting languages (Perl, Tcl) and Linux/Unix shell scripting. Demonstrated ability to work effectively in team environments under project deadlines. Excellent problem-solving and communication skills. Preferred Qualifications 8+ years of experience in physical design/implementation. Prior experience working on GPU or high-speed digital cores. Hands-on experience with formal verification and physical verification flows.
Qualcomm
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