R&D Engineer II (AI Simulation Engineer)

We Are :

At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation.

You Are :

You are a forward-thinking engineer who thrives at the intersection of artificial intelligence and advanced simulation technology. Your curiosity fuels your drive to push boundaries and create solutions that make complex engineering accessible to all. You bring a strong foundation in computer science or engineering, paired with hands-on experience in technical software development-whether through academic research, industry projects, or open-source contributions. You are passionate about leveraging AI and machine learning to enhance usability and performance in simulation tools, and you're excited by the prospect of democratizing these tools for broader audiences.

Collaboration comes naturally to you, and you believe that the best ideas emerge from diverse, multidisciplinary teams. You are comfortable navigating ambiguity and thrive in fast-paced environments where early-stage ideas can quickly evolve into game-changing features. Your communication skills enable you to articulate complex technical concepts with clarity, fostering effective teamwork across distributed groups. You are eager to continuously learn, stay updated on the latest advancements in AI, simulation, and software development, and proactively share your insights to help shape the future of engineering solutions.

What You'll Be Doing :

• Designing, implementing, testing, and maintaining software modules with a focus on integrating AI capabilities into physics-based simulation workflows.
• Collaborating with senior engineers and domain experts to translate technical requirements into functional, robust software components.
• Refining prototypes for AI-driven features, assisting in their transition from concept to production-ready code.
• Staying current with the latest advancements in AI, machine learning, and simulation technologies, and proposing innovative ideas to enhance product capabilities.
• Participating in code reviews and technical discussions to ensure high-quality deliverables and adherence to best practices.
• Working under the general supervision of a development manager, while proactively contributing to team goals and project milestones.

The Impact You Will Have :

What You'll Need :

Who You Are :

The Team You'll Be A Part Of :

You will join a multidisciplinary R&D team dedicated to advancing simulation software through AI innovation. The team brings together experts in software engineering, machine learning, physics-based modeling, and user experience design. Together, you'll collaborate closely to develop pioneering features that empower engineers across industries-from automotive and aerospace to electronics and beyond. Our culture celebrates diversity, creativity, and the pursuit of technical excellence.

Rewards and Benefits :

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

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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