We Are

At Synopsys, we lead innovation in electronic design automation and semiconductor technology. Our TCAD solutions enable accurate physics-based device and process simulation for advanced semiconductor technologies. Increasingly, AI-driven methodologies and Python-based automation are transforming how simulation workflows are developed, validated, released, and scaled.

You Are

You are a technically strong and curious engineer with a solid background in TCAD and semiconductor device physics, combined with a passion for Python-based engineering automation and applied AI/ML. You enjoy working at the intersection of physics-driven simulation, data-assisted modeling, software infrastructure, and engineering productivity.

What You’ll Be Doing

• Develop, enhance, and maintain TCAD simulation workflows for device and/or process modeling across advanced semiconductor technologies.
• Drive improvements in device physics models, process flows, and simulation engines through hands-on analysis, benchmarking, and close collaboration with core R&D teams.
• Design and implement Python-based tools, APIs, and automation frameworks to improve workflow robustness, usability, and scalability.
• Use AI and Python-based approaches to improve the efficiency, quality, and automation of the TCAD release process, including regression analysis, validation flows, and release readiness metrics.
• Collaborate with cross-functional teams to translate engineering requirements into production-quality software solutions.

The Impact You Will Have

• You will directly influence the next generation of TCAD tools by improving simulation accuracy, performance, and usability through AI-driven innovation and Python automation.
• Enable more robust and efficient TCAD releases using data-driven validation and automated regression workflows.
• Influence the evolution of TCAD tools toward modern, scalable, AI-enhanced platforms.
• Accelerate adoption of advanced TCAD capabilities across internal teams and customers.

What You’ll Need

• MS or PhD in Electrical Engineering, Physics, Materials Science, Computer Science, or equivalent.
• 5+ years of industry experience in TCAD, semiconductor device physics, or process simulation.
• Strong proficiency in Python for scientific computing, automation, and tooling.
• Experience applying AI/ML techniques to engineering workflows.
• Strong analytical thinking, problem-solving ability, and communication skills.

Nice to Have

• Experience applying ML frameworks to scientific or engineering problems.
• Exposure to EDA tool development or semiconductor R&D environments.
• Experience supporting large-scale validation or release processes.

Who You Are

• You can sit with a device physicist discussing threshold voltage roll-off and walk out with a Python script that automates the entire calibration sweep by end of week
• You are comfortable working in ambiguity, whether that means incomplete specs, noisy data, or a simulation deck that crashes for reasons no one understands yet
• You have a point of view on what good automation looks like and you push back when a workflow is too brittle, too manual, or too hard for the next engineer to maintain
• You think about the downstream impact of your work, not just whether the simulation converges but whether the release process will break when someone runs it on a different machine
• You are curious about new methods and willing to experiment, but pragmatic enough to know when a simple Python loop beats a fancy neural network
• You communicate clearly across disciplines, translating between physics language, software engineering language, and business priorities without losing the thread

The Team You’ll Be A Part Of

You will join a highly skilled TCAD team advancing simulation technology through physics-based models and AI-enhanced methodologies, working closely with product development, applications, and research teams worldwide.

TPG