Machine Learning Engineer

Category Engineering Hire Type Employee Job ID 15259 Remote Eligible No Date Posted 02/12/2026

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 dynamic and forward-thinking Machine Learning Engineer with a passion for bridging advanced AI methods and the intricate world of semiconductor manufacturing. You thrive in multidisciplinary environments, working at the intersection of software engineering, data science, and electronics. Your expertise in developing and scaling machine learning solutions is matched by your curiosity to explore new algorithms and your commitment to excellence. You have a solid foundation in ML/AI, demonstrated through hands-on experience with deep learning architectures, generative models, and agentic AI. You are adept at identifying opportunities to apply data-driven methods to complex engineering challenges, particularly in the context of OPC, ILT, and defect management workflows. Collaboration is second nature to you—you communicate effectively with both technical and non-technical colleagues, fostering innovation through shared knowledge and open dialogue. You are detail-oriented, organized, and relentless in your pursuit of robust, reliable, and scalable solutions. Above all, you are eager to make a tangible impact on the future of semiconductor manufacturing by leveraging cutting-edge technology and contributing to a culture of continuous improvement and learning.

What You’ll Be Doing:

• Designing and implementing advanced ML models tailored to Optical Proximity Correction (OPC) and Inverse Lithography Technology (ILT) workflows.
• Developing and deploying AI-powered solutions to automate mask and wafer defect detection and management.
• Building robust software prototypes and transitioning them into scalable, production-grade tools for semiconductor manufacturing.
• Benchmarking and validating ML solutions against industry standards, customer datasets, and real-world manufacturing scenarios.
• Collaborating with cross-functional teams, including process engineers, software developers, and product managers, to align solutions with business and technical requirements.
• Documenting methodologies, authoring technical publications, and contributing to internal knowledge bases to foster organizational learning.
• Staying abreast of the latest developments in ML/AI and semiconductor manufacturing, and proactively integrating new techniques and technologies into our solutions.

The Impact You Will Have:

• Accelerate the adoption of AI/ML in semiconductor manufacturing, driving significant improvements in yield, efficiency, and quality.
• Enable the automation of complex defect management processes, reducing cycle times and minimizing manual intervention.
• Enhance the accuracy and scalability of OPC and ILT solutions, directly impacting product performance and customer satisfaction.
• Establish Synopsys as a leader in AI-driven semiconductor manufacturing solutions, influencing industry standards and best practices.
• Contribute to the creation of innovative tools that set new benchmarks for performance and reliability in chip production.
• Mentor and inspire team members, fostering a culture of continuous learning, experimentation, and collaboration.

What You’ll Need:

• Ph.D. or M.Tech/B.Tech in Computer Science, Electrical Engineering, or related fields, with 6+ years of relevant industry experience.
• Proven experience in developing ML/AI solutions using CNNs, Generative AI, Agentic AI, or similar advanced techniques.
• Strong programming skills in Python and C/C++ for high-performance, scalable software development.
• Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or JAX.
• Experience building production-grade ML pipelines, including data preprocessing, model training, validation, and deployment.
• Familiarity with computational geometry and image processing as applied to semiconductor workflows (preferred).
• Understanding of EDA tools, VLSI layout manipulation, and semiconductor manufacturing processes (preferred).

Who You Are:

• Innovative thinker with a strong analytical and problem-solving mindset.
• Excellent communicator, able to translate complex technical concepts for diverse audiences.
• Collaborative team player who thrives in cross-functional environments.
• Self-motivated and proactive, with a passion for continuous learning and improvement.
• Detail-oriented, organized, and capable of managing multiple projects simultaneously.
• Adaptable and resilient in the face of evolving technologies and business challenges.

The Team You’ll Be A Part Of:

You will join a world-class R&D team at Synopsys dedicated to pioneering next-generation software solutions for semiconductor manufacturing. Our team brings together experts in machine learning, computational lithography, process engineering, and software development. We value open collaboration, creative problem-solving, and a shared commitment to pushing the boundaries of what’s possible. Together, we deliver impactful solutions that shape the future of the semiconductor industry.

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.