SI
Applications Engineering – Sr Staff Engineer (TCAD, AI and Python)
Accepting applicationsSynopsys Inc · Hyderabad, Telangana, India
Full-Time Mid_senior AIPythonSynopsys
Estimated market salary
₹45-81 LPA
This is a SiliconBoard market estimate, not an employer-posted salary.
Posted
11 Jun
Category
Eda
Experience
Mid_senior
Country
India
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
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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
Show more Show less