AI Chiplet Virtual Platform Architect / Technical Lead

Position: AI Chiplet Virtual Platform Architect / Technical Lead (IRT1015ST RM 4405)

Position Summary

Lead the architecture and development of a reusable AI Chiplet Virtual Platform / VDK for the company's connectivity, memory, power, and chiplet infrastructure products and their integration with customer XPUs. This is the anchor architecture role for the team, and the person in this role sets the platform foundation that JD 2–7 build on.

Education : B.E. / B.Tech / M.E. / M.Tech / M.S. in Electronics, Electrical, Computer Engineering, or related discipline.

Key Responsibilities

• Customer XPU / Chiplet Architecture Analysis: Study customer XPU/SoC architecture, identify software-visible and performance-critical components, define virtualization requirements and model abstraction levels, and identify interfaces between the customer compute die and the company's chiplets.
• Virtual Platform / VDK Foundation: Architect and establish the Synopsys Virtualizer/VDK environment; develop reusable SystemC/TLM- based platform infrastructure; define platform configuration, component hierarchy, and interconnect architecture; establish reusable VP templates for different customer XPU configurations.
• Multi-Chiplet / Multi-XPU Scalability: Define scalable virtual architectures representing multiple chiplets/XPUs, and support scale-up and multi-device configurations.
• AI Infrastructure System Modelling: Define the complete system-level virtual platform architecture and integrate compute, connectivity, memory, power, and I/O models.
• System Performance & Architecture Exploration: Work with performance architects to enable architecture trade-off studies.
• RTL / VP / Emulation Correlation: Define the methodology for correlating TLM models with RTL and emulation.
• Automated Regression & Performance Infrastructure: Define the overall VP validation and regression strategy.
  
  

Required Technical Skills

• 10–15+ years of semiconductor/system engineering experience.
• Strong C++ and SystemC/TLM.
• Synopsys Virtualizer / VDK experience.
• SoC/system architecture and virtual prototyping.
• PCIe / CXL / UCIe / AMBA.
• Strong understanding of AI/HPC infrastructure.
• Experience working with both RTL and software teams.
  
  

Preferred Skills

• Chiplet architecture and HBM.
• AI accelerator/XPU architecture.
• Emulation platforms such as ZeBu / Palladium / Veloce.
• Python automation.
  
  

Project Experience

• Demonstrated ownership of a virtual platform / VDK architecture used across multiple products or customer configurations.
• Experience defining platform architecture spanning compute, connectivity, memory, power, and I/O.
  
  

Soft Skills

• Strong systems-thinking and architecture leadership across hardware, software, and verification teams.
• Ability to translate customer XPU requirements into a virtual platform architecture.
• Clear technical communication with RTL, software, and performance teams.
  
  

Good to Have

• Prior experience architecting a virtual platform that shipped across more than one customer program.
• Direct exposure to correlating TLM models against RTL/emulation results.
  
  

Expected Deliverables

• Synopsys Virtualizer/VDK-based platform architecture and reusable VP templates.
• System-level virtual platform integrating compute, connectivity, memory, power, and I/O models.
• VP validation/regression strategy and RTL/emulation correlation methodology.
  
  

Growth Path

• Progress into Principal Virtual Platform Architect, Chief System Architect, or Practice Lead (Virtual Platform Engineering) roles.