Pratheep Balasingam

CTO

San Francisco, California, United States23 yrs 3 mos experience
Highly StableAI Enabled

Key Highlights

  • Expert in TCAD simulation and R&D leadership.
  • Pioneered AI/ML integration in semiconductor modeling.
  • Led global teams in high-performance computing projects.
Stackforce AI infers this person is a semiconductor R&D leader specializing in advanced modeling and simulation technologies.

Contact

Skills

Core Skills

Tcad SimulationR&d LeadershipAi/ml-enhanced Workflows

Other Skills

physics-based modelingsimulation platformsnumerical methodshigh-performance computingGPU accelerationscalable modeling infrastructurephysics modelsnumerical solversHPC architecturesAI/ML techniquesphysics workflows

About

I lead core TCAD R&D, driving advances in physics-based modeling and simulation platforms that enable semiconductor technology development and optimization. My background spans device physics, numerical methods, and high-performance computing (HPC), with experience delivering scalable modeling infrastructure to leading-edge foundries and fabless companies across the logic, memory, power, and CIS sectors of the semiconductor industry. Current priorities include AI/ML-enhanced process and device modeling and GPU-accelerated simulation to expand design-space exploration and shorten learning cycles while preserving QoR and physics fidelity. I focus on automating TCAD pipelines and enabling integration with emerging multiphysics design flows. I am particularly interested in the convergence of physics-based simulation, AI-assisted modeling, and scalable compute infrastructure, and in how these technologies will reshape semiconductor technology development over the next decade.

Experience

23 yrs 3 mos
Total Experience
23 yrs 3 mos
Average Tenure
23 yrs 3 mos
Current Experience

Synopsys inc

Head of Core TCAD Simulation Platforms | Executive Director, R&D

Mar 2003Present · 23 yrs 3 mos · Mountain View, California, United States

  • Lead core TCAD simulation platforms spanning physics models, numerical solvers, and scalable scientific software on HPC architectures.
  • Own end-to-end R&D roadmap and production delivery, from architecture and implementation through validation and global releases.
  • Drove major solver and performance modernization, including multi-core scalability, GPU acceleration, and AI/ML-enhanced physics workflows.
  • Led patented innovations in materials and physics modeling methodologies integrated into core TCAD platforms and device simulation flows.
  • Built and led globally distributed engineering organizations with responsibility for hiring, budgets, compute infrastructure, and delivery execution.
physics-based modelingsimulation platformsnumerical methodshigh-performance computingAI/ML-enhanced workflowsGPU acceleration+3

Education

Stanford University

Bachelor of Science - BS — Physics

Stanford University

Doctor of Philosophy - PhD — Electrical Engineering

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