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Cadence

Lead Product Engineer

17 days ago• San Jose

About us

Cadence is a pivotal leader in computational software.

  • Size: 10,000+ employees
  • Industry: Technology
View company profile ›
At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.

High-performance and Power-Critical CPU and/or GPU Implementation and Methodology Engineer

Responsibilities / Skills

• Full-chip and block-level implementation from RTL to Signoff, including place-and-route, timing closure, physical verification, power analysis, and optimization.

  • Strong understanding of physical design fundamentals including floorplanning, placement, clock tree synthesis, routing, timing analysis, signal integrity, IR drop, and electromigration.
  • Experience with timing closure methodologies for setup, hold, power, and area optimization.
  • Familiarity with low-power implementation techniques including UPF/CPF, power gating, multi-voltage designs, clock gating, and leakage optimization.
  • Need to be automation savvy and able to develop scripts, utilities, and methodologies to improve productivity and design quality.
  • Prior experience in Python, Tcl, Perl, Shell, or other programming/scripting languages is a plus.
  • Exposure to machine learning and AI-assisted optimization techniques is a plus.
  • Familiarity with industry-standard implementation and signoff tools
  • Understanding of advanced technology nodes (5nm and below) and associated challenges including congestion, variability, power integrity, and manufacturability is desirable.
  • Strong debugging and problem-solving skills with the ability to analyze complex design issues and drive them to resolution.
  • Good communication skills and ability to work effectively with cross-functional teams including architecture, RTL, verification, methodology, and CAD teams.
  • Experience with data analytics, design-space exploration, or AI-driven optimization frameworks for improving PPA and productivity is highly desirable.
  • Experience in PPA optimization, design convergence, benchmarking, methodology development, and large-scale CPU/GPU implementation is a plus.

The annual salary range for California is $119,000 to $221,000. You may also be eligible to receive incentive compensation: bonus, equity, and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the salary range is a guideline and compensation may vary based on factors such as qualifications, skill level, competencies and work location. Our benefits programs include: paid vacation and paid holidays, 401(k) plan with employer match, employee stock purchase plan, a variety of medical, dental and vision plan options, and more.

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Additional Information

  • Salary: $119,000 – $221,000
  • Posted: 17 days ago
Apply on company site
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