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Lead Product Engineer

Cadence · cadence.com
San JoseLead / Manager
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Posted 18 days ago. 3,268 more Engineer jobs in the United States went up on company career pages this week. See the newer ones

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The job in short

Product engineering.

PythonMachine learning

Details

Found
17 d ago · posted 2026-10-21
Location
SAN JOSE
Pay (as listed)
$119,000–$221,000 a year

Full description

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. We’re doing work that matters. Help us solve what others can’t.

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