Role Summary
The Staff R&D Engineer will develop high-performance simulation solutions using GPU acceleration and parallel programming in the field of Electronic Design Automation (EDA).
Experience Level
Mid-level, requiring 3 to 5 years of experience based on educational background.
Responsibilities
The responsibilities include:
- Designing and optimizing accelerated verification tools using massive parallelism and GPU technologies.
- Implementing and troubleshooting advanced graph algorithms for managing complex hardware designs.
- Developing GPU kernels (CUDA/HIP/DPC++) to reduce simulation runtimes.
- Leveraging multi-threaded programming (OpenMP/TBB) to maximize throughput.
- Debugging functionality and performance of compiler enhancements and optimizations.
Requirements
Must-have qualifications include:
- Proficiency in C/C++ and performance profiling.
- Knowledge of GPU computing (CUDA/HIP/DPC++) and parallel memory models.
- Experience with multi-threaded programming (OpenMP, TBB).
- Knowledge in HDL (SystemVerilog/VHDL) and compiler design.
- Proficiency with AI-assisted coding tools for development.
Nice-to-have skills include:
- Experience implementing high-performance graph algorithms on GPU and multicore architectures.
- Familiarity with distributed computing frameworks and memory-efficient data structures.
Education Requirements
BS in Computer Science or Electrical Engineering with 5+ years of experience, or MS with 3+ years, or PhD with 0-1 years in HPC/GPU computing.
About the Company
Company: Synopsys
Headquarters: Mountain View, California, USA
Synopsys is a leading company in electronic design automation (EDA) and semiconductor IP solutions. It provides tools and services for designing and verifying complex semiconductor devices and systems. The company plays a pivotal role in the semiconductor industry, helping engineers innovate and deliver higher-quality products faster. Synopsys is committed to advancing technology standards and offers a range of software and hardware solutions to its clients globally.

Date Posted: 2026-04-19