R&D Engineer – Machine Learning & Optimization (m/f/d)

Category Engineering Hire Type Employee Job ID 17099 Remote Eligible No Date Posted 04/22/2026

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 curious and motivated engineer with a passion for developing innovative algorithms and cutting-edge machine learning solutions. You thrive in collaborative environments, enjoy tackling complex mathematical challenges, and are eager to contribute to real-world industrial applications. Your background in engineering, computer science, mathematics, or physics has equipped you with a solid foundation in programming and analytical thinking. You are comfortable working with C++ and Python, and you have experience or a keen interest in fields such as machine learning, artificial intelligence, data mining, optimization, and uncertainty quantification.

You approach problems with creativity and rigor, seeking not just to solve them, but to create robust, scalable solutions that drive product excellence. You value continuous learning, whether it’s deepening your theoretical knowledge, mastering new tools and libraries, or collaborating with experts across disciplines. You communicate effectively, are receptive to feedback, and believe that sharing ideas leads to better outcomes. You aspire to make a measurable impact in a high-tech environment and are excited by the possibility of contributing to patentable innovations and research publications. If you’re looking for a role where your technical skills and innovative mindset can shape the future of design optimization, you’ll find your place on our team.

What You’ll Be Doing:

• Designing, implementing, maintaining, testing, evaluating, benchmarking, and documenting advanced algorithms and mathematical functions for ANSYS optiSLang.
• Collaborating closely with customer support teams to ensure developed algorithms are applicable and effective for industrial scenarios.
• Learning and applying best practices in software development, machine learning, and optimization.
• Performing bug verification, release testing, and providing support for assigned software products.
• Investigating and resolving technical problems identified by QA or product support, and developing innovative solutions.
• Working under the guidance of experienced development managers and lead developers, contributing to both new methods and the improvement of existing implementations.

The Impact You Will Have:

• Advance the capabilities of ANSYS optiSLang, driving innovation in process integration and parametric design optimization.
• Enable robust machine learning-based sensitivity analysis, optimization, and uncertainty quantification, empowering customers to solve complex engineering challenges.
• Enhance the efficiency and reliability of industrial applications through state-of-the-art algorithmic developments.
• Support the creation of high-performance, multi-disciplinary optimization tools, expanding the reach and impact of Synopsys solutions.
• Contribute to research publications and patentable ideas, shaping the future of optimization technologies.
• Facilitate the seamless integration of numerical simulation tools, ensuring scalable and flexible design workflows for customers worldwide.

What You’ll Need:

• Master’s degree in Engineering, Computer Science, Mathematics, Data Science, Technical Physics, or a related field.
• Strong proficiency in C++ and Python programming, with experience in object-oriented development.
• Background in at least one of the following: machine learning, artificial intelligence, data mining, single-objective optimization, multi-objective decision making, or uncertainty quantification.
• Familiarity with Python libraries for machine learning and data analysis, such as TensorFlow, Theano, PyTorch, Scikit-learn, pandas, etc.
• Theoretical knowledge of regression and classification methods, and experience with high-dimensional applications.

Who You Are:

• Analytical thinker with strong problem-solving skills.
• Effective communicator, able to collaborate across teams and share ideas clearly.
• Quick learner, adaptable to new technologies and methodologies.
• Team player, comfortable working in geographically distributed groups.
• Detail-oriented, committed to quality and excellence in all deliverables.

The Team You’ll Be A Part Of:

You’ll join the ANSYS optiSLang Research and Development team, a dynamic group dedicated to advancing state-of-the-art software for machine learning-based sensitivity analysis, optimization, and uncertainty quantification. The team fosters innovation, collaboration, and continuous learning, working closely with experts across engineering, mathematics, and software development disciplines to deliver impactful solutions for industrial applications.

Rewards and Benefits:

We 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.

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.