Lead Product Engineer

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.

About Cadence

Help us solve what others can’t.

Responsibilities

• 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.

Requirements

• Need to be automation savvy and able to develop scripts, utilities, and methodologies to improve productivity and design quality.
• 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.

Preferred

• 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.
• 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.

Pay

• 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.

Benefits

• 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.
• We’re doing work that matters.