Qualcomm
Website:
qualcomm.com
Company:
https://www.linkedin.com/company/qualcomm
Seniority: Not Applicable
Industries: Semiconductor Manufacturing
Job details:
Company
Qualcomm India Private Limited
Job Area
Engineering Group, Engineering Group > Hardware Engineering
General Summary
Role Overview
The NPU Synthesis Lead will be responsible for driving synthesis and timing closure for Neural Processing Unit (NPU) IP and subsystems in cutting-edge SoCs. This role involves leading synthesis flows, optimizing for PPA (Performance, Power, Area), and collaborating with architecture, RTL, and physical design teams to ensure high-quality netlists for advanced technology nodes.
Key Responsibilities
- Synthesis Ownership
- Lead RTL-to-gate-level synthesis for NPU IP and subsystems using industry-standard tools (Synopsys Design Compiler, Cadence Genus).
- Develop and maintain synthesis scripts and flows for hierarchical and flat designs.
- Timing Closure
- Drive pre-layout and post-layout timing closure across multiple voltage and process corners.
- Collaborate with STA teams to resolve setup/hold violations.
- Power & Area Optimization
- Apply physical-aware synthesis techniques to meet aggressive PPA targets.
- Implement low-power strategies using UPF/CPF flows.
- Constraint Management
- Validate and maintain SDC constraints for clocks, I/O delays, multi-cycle paths, and false paths.
- Cross-Functional Collaboration
- Work closely with RTL design, DFT, and physical design teams for seamless handoff.
- Provide feedback to architecture and RTL teams for QoR improvements.
- Quality Checks
- Perform LEC (Logical Equivalence Check), CLP (Clock/Power checks), and linting.
- Flow Innovation
- Explore advanced synthesis methodologies and EDA tool capabilities for better QoR.
- Team Leadership
- Mentor junior engineers and drive best practices across synthesis and timing teams.
Minimum Qualifications
- Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 3+ years of Hardware Engineering or related work experience.
OR
Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience.
OR
PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 1+ year of Hardware Engineering or related work experience.
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