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)
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Analyze and apply 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 PhD in 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.