Teams at Cadence Design Systems

Develops AI and deep learning models for electrothermal, electromagnetic, and structural simulations. Leads research on generalization and interpretability of large models in complex physics scenarios, monitors emerging AI advances, and integrates research into products to improve simulation accuracy and performance. Requires strong experience with deep learning frameworks, generative models, programming in Python and C/C++, and relevant graduate education.

Supports Cadence product adoption and customer RTL-to-GDSII implementation projects. Performs synthesis, place and route, clock tree synthesis, static timing analysis, low-power and multi-voltage implementation, timing debugging, tapeout support, and full-flow methodology development. Leads customer evaluations, competitive benchmarks, technical presentations, and implementation services across advanced technology nodes for complex CPU, GPU, DSP, wireless, and mobile designs.

Provides pre-sales and post-sales technical support for Cadence digital implementation and signoff tools. Delivers customer workshops, benchmarks, demonstrations, methodology consultations, technical evaluations, and product support. Partners with sales teams on technical campaigns, supports customer implementations and usage expansion, collaborates with R&D on methodology improvements, and creates technical content. Requires expertise in digital design, semiconductor fundamentals, static timing analysis, ASIC implementation flows, scripting, and customer-facing problem solving.