Staff R&D Engineer, Accelerated Verification Tools-16955
Synopsys, Sunnyvale, CA, United States
Date posted
04/19/2026
Category
Engineering
Hire Type
Employee
Job ID
16955
Base Salary Range
$138000-$207000
Remote Eligible
No
Date Posted
04/19/2026
Overview
Synopsys software engineers are key enablers in the world of Electronic Design Automation (EDA), developing and maintaining software used in chip design, verification, and manufacturing. In this role, you will develop high-performance simulation solutions utilizing GPU acceleration and parallel programming to tackle complex EDA challenges.
You Are
A passionate engineer specializing in simulation and verification, you excel at utilizing high-performance computing to solve complex problems. With expertise in HDL (System Verilog/VHDL), C++, and parallel models, you thrive on innovation and collaborate effectively across teams to deliver scalable solutions.
What You'll Be Doing
Designing/Optimizing
accelerated verification tools using massive parallelism and GPU technologies.
Implementing
and
troubleshooting
advanced graph algorithms to manage 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.
The Impact You Will Have
Accelerating
customer chip development cycles and enabling next-generation silicon design.
Driving
innovation in GPU-powered algorithms.
Empowering
engineering teams to achieve faster RTL sign-off.
What You'll Need
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.
AI-First Mindset : Proficiency in using modern AI-assisted coding tools like
Cursor
or
Claude Code
to accelerate development cycles and maintain high code quality.
Growth Mindset : We welcome candidates with HPC and algorithm expertise who have an interest in mastering the hardware verification domain.
Desirable Skills
Experience implementing
high-performance graph algorithms on GPU and multicore architectures .
Familiarity with distributed computing frameworks and memory-efficient data structures.
Education & Experience
BS
in CS/EE or related field with
5+ years
of experience.
MS
in CS/EE or related field with
3+ years
of experience; advanced coursework or project work in HPC/Compilers is highly valued.
PhD
in CS/EE with
0-1 years
of experience with focus in HPC/GPU computing. Relevant doctoral research and peer-reviewed publications in Parallel computing or EDA will be considered toward this requirement.
#LI-DP1
At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.
In addition to the base salary, this role may be eligible for an annual bonus, equity, and other discretionary bonuses. Synopsys offers comprehensive health, wellness, and financial benefits as part of a competitive total rewards package. The actual compensation offered will be based on a number of job-related factors, including location, skills, experience, and education. Your recruiter can share more specific details on the total rewards package upon request. The base salary range for this role is across the U.S.
04/19/2026
Category
Engineering
Hire Type
Employee
Job ID
16955
Base Salary Range
$138000-$207000
Remote Eligible
No
Date Posted
04/19/2026
Overview
Synopsys software engineers are key enablers in the world of Electronic Design Automation (EDA), developing and maintaining software used in chip design, verification, and manufacturing. In this role, you will develop high-performance simulation solutions utilizing GPU acceleration and parallel programming to tackle complex EDA challenges.
You Are
A passionate engineer specializing in simulation and verification, you excel at utilizing high-performance computing to solve complex problems. With expertise in HDL (System Verilog/VHDL), C++, and parallel models, you thrive on innovation and collaborate effectively across teams to deliver scalable solutions.
What You'll Be Doing
Designing/Optimizing
accelerated verification tools using massive parallelism and GPU technologies.
Implementing
and
troubleshooting
advanced graph algorithms to manage 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.
The Impact You Will Have
Accelerating
customer chip development cycles and enabling next-generation silicon design.
Driving
innovation in GPU-powered algorithms.
Empowering
engineering teams to achieve faster RTL sign-off.
What You'll Need
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.
AI-First Mindset : Proficiency in using modern AI-assisted coding tools like
Cursor
or
Claude Code
to accelerate development cycles and maintain high code quality.
Growth Mindset : We welcome candidates with HPC and algorithm expertise who have an interest in mastering the hardware verification domain.
Desirable Skills
Experience implementing
high-performance graph algorithms on GPU and multicore architectures .
Familiarity with distributed computing frameworks and memory-efficient data structures.
Education & Experience
BS
in CS/EE or related field with
5+ years
of experience.
MS
in CS/EE or related field with
3+ years
of experience; advanced coursework or project work in HPC/Compilers is highly valued.
PhD
in CS/EE with
0-1 years
of experience with focus in HPC/GPU computing. Relevant doctoral research and peer-reviewed publications in Parallel computing or EDA will be considered toward this requirement.
#LI-DP1
At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.
In addition to the base salary, this role may be eligible for an annual bonus, equity, and other discretionary bonuses. Synopsys offers comprehensive health, wellness, and financial benefits as part of a competitive total rewards package. The actual compensation offered will be based on a number of job-related factors, including location, skills, experience, and education. Your recruiter can share more specific details on the total rewards package upon request. The base salary range for this role is across the U.S.