Staff R&D Engineer, Accelerated Verification Tools-16955

Sunnyvale, California, United States

Engineering

Employee

$138000-$207000

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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. They work on assignments like designing, developing, and troubleshooting software, leveraging the state-of-the-art technologies like AI/ML, GenAI and Cloud. Their critical contributions enable world-wide EDA designers to extend the frontiers of semiconductors and chip development.

Job Description

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.

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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.

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Benefits

At Synopsys, innovation is driven by our incredible team around the world. We feel honored to work alongside such talented and passionate individuals who choose to make a difference here every day. We're proud to provide the comprehensive benefits and rewards that our team truly deserves.

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Health & Wellness

Comprehensive medical and healthcare plans that work for you and your family.
Time Away

In addition to company holidays, we have ETO and FTO Programs.
Family Support

Maternity and paternity leave, parenting resources, adoption and surrogacy assistance, and more.
ESPP

Purchase Synopsys common stock at a 15% discount, with a 24 month look-back.
Retirement Plans

Save for your future with our retirement plans that vary by region and country.
Compensation

Competitive salaries.

** Benefits vary by country and region - check with your recruiter to confirm

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Hiring Journey at Synopsys

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As an applicant your resume, skills, and experience are being reviewed for consideration.

Phone Screen

Once your resume has been selected a recruiter and/or hiring manager will reach out to learn more about you and share more about the role.

Interview

You will be invited to meet with the hiring team to measure your qualifications for the role. Our interviews are held either in person or via Zoom.

Offer

Congratulations! When you have been selected for the role, your recruiter will reach out to make you a verbal offer (a written offer will follow your conversation), and we hope you accept!

Onboarding

There will be some steps you need to take before you start to ensure a smooth first day, including new hire documentation.

Welcome!

Once you’ve joined, your manager, team, and a peer buddy will help you get acclimated. Over the next few weeks, you’ll be invited to join activities and training to help you ramp up for a successful future at Synopsys!

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