Senior AI R&D Engineer - REMOTE (f/m)

Synopsys Inc; Montigny-le-Bretonneux; À distance; EUR 40 000 - 60 000; Plein temps

Résumé du poste

A leading tech company in Montigny-le-Bretonneux is seeking a Machine Learning Engineer to design neural networks and AI solutions for simulation applications. The role requires expertise in Python and deep learning tools, with a focus on CAE challenges. Successful candidates will collaborate with industry partners and contribute to innovative projects, enhancing simulation workflows and empowering design decisions through AI.

Prestations

Comprehensive health and wellness benefits

Financial benefits during hiring process

Qualifications

• Expertise in Python and modern deep learning libraries.
• Hands‑on experience with MLOps tooling and methodologies for scalable AI deployment.
• Proven track record developing and deploying deep learning models for commercial software applications.

Responsabilités

• Design and architect advanced neural network models.
• Lead planning, testing, and technical review processes for AI-driven features.
• Develop robust production code using Python and deep learning libraries.

Connaissances

Python

Deep Learning

MLOps

Geometric Handling

Numerical Simulation

Communication in English

Outils

TensorFlow

PyTorch

Description du poste

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 passionate and forward‑thinking engineer who thrives at the intersection of artificial intelligence, deep learning, and computational engineering. With a strong foundation in Python and modern ML frameworks, you are adept at architecting neural networks that solve real‑world problems. You bring hands‑on experience in developing commercial AI solutions, especially within the realm of Computer‑Aided Engineering (CAE), where geometry handling and numerical simulation are second nature to you. You’re motivated by the challenge of accelerating innovation—translating simulation data into actionable insights at unprecedented speed. You understand the importance of robust, production‑ready code and relish the opportunity to collaborate in a multidisciplinary team, sharing knowledge and learning from others. Your communication skills in English enable you to clearly articulate complex technical concepts to both technical and non‑technical stakeholders, and your autonomy lets you drive projects forward independently. You value inclusion and diversity, recognizing that the best ideas come from teams where every voice is heard. You’re eager to work at the frontier of SaaS AI‑based simulation platforms, collaborating with partners such as Ansys, and making tangible impacts on product development cycles across industries. If you are ready to push boundaries, embrace new technologies, and shape the future of simulation, Synopsys is where you belong.

What You’ll Be Doing:

• Designing and architecting advanced neural network models tailored for simulation and CAE applications.
• Leading the planning, testing, and technical review processes for new AI‑driven features and solutions.
• Developing and deploying robust production code using Python, deep learning libraries, and MLOps tools.
• Collaborating closely with the Ansys ecosystem and cross‑functional teams to deliver integrated AI solutions.
• Driving innovation by applying AI and Deep Learning techniques to geometry handling and numerical simulation challenges.
• Contributing to technical documentation, best practices, and mentoring junior engineers within the team.
• Participating in partnership projects, ensuring high‑quality deliverables and technical excellence in all stages of development.

The Impact You Will Have:

• Accelerate simulation workflows for customers, reducing turnaround times from days to minutes.
• Empower engineers and product designers to make faster, data‑driven decisions through AI‑powered predictions.
• Enable rapid iteration of complex engineering challenges, fostering greater innovation and creativity.
• Advance the capabilities of the SimAI platform, setting new standards for accessibility and usability in simulation technology.
• Strengthen Synopsys’ position as a leader in AI‑driven CAE solutions and SaaS platforms.
• Foster industry partnerships and expand our ecosystem through technical excellence and collaborative development.

What You’ll Need:

• Expertise in Python and modern deep learning libraries (e.g., TensorFlow, PyTorch).
• Hands‑on experience with MLOps tooling and methodologies for scalable AI deployment.
• Proven track record developing and deploying deep learning models for commercial software applications.
• Advanced technical knowledge of AI and Deep Learning techniques applied to CAE, including geometry handling and numerical simulation (preferred).
• Strong analytical and problem‑solving skills, with the ability to translate simulation data into reliable AI models.

Who You Are:

• Excellent communicator in English, able to convey complex ideas clearly and effectively.
• Self‑driven and capable of working independently to meet ambitious goals.
• Collaborative team player who values diverse perspectives and continuous learning.
• Adaptable and resilient, thriving in fast‑paced, dynamic environments.
• Detail‑oriented with a commitment to delivering high‑quality, production‑ready solutions.

The Team You’ll Be A Part Of:

You’ll join a dynamic team of Machine Learning Engineers dedicated to advancing simulation technology through AI. Working on partnership projects with industry leaders like Ansys, you’ll contribute to the development and deployment of the SimAI platform—a cutting‑edge SaaS solution built to transform how engineers approach simulation. The team fosters a culture of innovation, collaboration, and technical excellence, providing opportunities to work on impactful projects that shape the future of engineering.

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.