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.
\nYou are a passionate engineer who thrives on solving complex technical challenges and is eager to shape the next generation of mechanical simulation tools. With a strong foundation in software development and AI, you are excited by the opportunity to blend agentic AI advancements with engineering simulation software.
\nDriving and implementing the integration of conversational AI capabilities into advanced mechanical simulation software tools.\nDesigning, developing, maintaining, testing, and documenting software modules,including APIs, backend, and frontend components.\nCollaborating closely with multidisciplinary teams to leverage shared technology components and ensure seamless integration.\nWriting clean, maintainable, and efficient code, adhering to industry best practices and coding standards.\nInvestigating and resolving technical issues reported by QA or product support, ensuring robust and reliable software performance.\nParticipating in bug verification, release testing, and beta support activities to guarantee product quality.\nStaying abreast of the latest agentic AI advancements, applying them to enhance existing systems or develop novel solutions.
\nAccelerate the integration of AI into Synopsys' new mechanical simulation tools, transforming user experience and functionality.\nDeliver high-impact, high-visibility AI solutions for a pioneering product line in the simulation and engineering domain.\nShape innovative tools that enable engineers and researchers to solve complex mechanical modeling problems more efficiently.\nContribute to the advancement of modeling through intelligent automation and conversational interfaces.\nDrive Synopsys' reputation as a leader in AI-powered engineering solutions, empowering customers across industries.
\nMS in Engineering, Computer Science, Natural Science, or a related field.\nAcademic, research, or industry experience in software development.\nProficiency in Python\nExperience with LLMs or generative AI techniques and agentic AI tools.\nExperience with additional programming languages such as Typescript, Go, or C++.\nFamiliarity with distributed computing technologies (micro-service architectures, RPC frameworks, REST, WebSocket APIs).\nExperience with containerization tools (e.g., Docker), CI/CD pipelines (e.g., GitHub), and web frontend frameworks (e.g., Angular, React) is a plus.\nBackground in Computer-Aided Engineering (CAE), Finite Element Analysis (FEA), Computational Fluid Dynamics (CFD), or CAD modeling is highly valued.
\nPassionate about understanding and solving complex problems with innovative technical solutions.\nSelf-driven with a continuous learning mindset and enthusiasm for emerging technologies.\nInquisitive, rigorous, and detail-oriented.\nExcellent communicator, fluent in English.\nAdaptable, able to work independently and collaboratively within distributed teams.
\nYou will join a collaborative, agile team dedicated to developing next-generation tools for pre- and post-processing of mechanical simulations. The team values excellence and continuous improvement, working together to achieve ambitious goals and deliver innovative solutions that redefine simulation software.
\nWe offer a comprehensive range of 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.
\nAt 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.
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