Date posted 06/03/2026
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 motivated and research-driven PhD candidate / Research Engineer with strong theoretical and hands-on experience in advanced modeling and intelligent systems. You have solid expertise in at least one of the following areas: machine learning or reinforcement learning (connectionist approaches), probabilistic theory, data science, formal methods, or simulation and testing techniques.
What You’ll Be Doing:
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Conduct research and development on advanced algorithms and models
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Design, implement, and test innovative solutions and prototypes
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Work with simulation and testing methodologies (e.g., scenario-based testing)
Analyze and- scientific literature to practical use cases
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Collaborate with multidisciplinary teams on embedded and intelligent systems
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Contribute to experimentation, validation, and performance evaluation
What You’ll Need:
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Currently pursuing a PhDin Computer Science, Engineering, Applied Mathematics, or relevant field
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Holder of a Master 2 or equivalent in Computer Science, Engineering, Applied Mathematics or related areas
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Strong expertise in at least one of the following areas:
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Machine Learning / Reinforcement Learning (connectionist approaches)
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Probabilistic theory
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Data Science
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Formal methods (symbolic approaches)
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Simulation and testing methods
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Good understanding of embedded systems
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Knowledge of Functional Safety
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Experience with Model-Based Systems Engineering (MBSE)
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Programming: Python, C
Who You Are:
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Passionate about research, experimentation, and innovation
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Strong analytical and problem-solving skills
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Curious, autonomous, and eager to explore new technologies
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Ability to bridge theory and practical implementation
The Team You’ll Be A Part Of:
You will join a France based team dedicated to advancing autonomy applications through the integration of AI/ML technologies, addressing complex challenges at the intersection of intelligent systems and critical domains.
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.
