Date posted 06/01/2026
Synopsys is the leader in engineering solutions from silicon to systems, enabling customers to rapidly innovate AI-powered products. We deliver industry-leading silicon design, IP, simulation and analysis solutions, and design services. We partner closely with our customers across a wide range of industries to maximize their R&D capability and productivity, powering innovation today that ignites the ingenuity of tomorrow.
You have spent the last few years living at the intersection of Python, desktop application design, and engineering simulation—not just building GUIs that look good, but architecting interfaces that scientists and engineers actually want to use, day in and day out. You spot the pain points in legacy workflows and are the kind of person who sketches out how to make them better before the meeting is over. You know your way around PyQt and Qt, and you’ve navigated the quirks of modernizing old code, whether that means untangling Tcl/Tk or making sure a new feature doesn’t break a solver’s output. You don’t shy away from digging into the back end when integration gets weird, and you care about maintainability as much as features. You thrive when you get to take something clunky and turn it into something that feels seamless. Working with engineers who live and breathe simulation is not new to you—you’ve been the bridge between what users need and what the code can do.
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Analyze existing Tcl/Tk-based engineering simulation GUI tools, mapping out workflows from pre-processing to post-processing
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Lead the migration of legacy user interfaces to modern, maintainable PyQt (Qt for Python) desktop applications
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Integrate new GUI components with simulation modules, data models, file I/O routines, and visualization pipelines for Ansys MAPDL workflows
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Preserve core solver logic and workflow behavior while improving usability, modularity, and extensibility
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Develop and support advanced post-processing features including result loading, contour and curve displays, report generation, and interactive data inspection
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Identify and implement opportunities to boost usability, performance, and long-term maintainability of the application
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Document your code and architectural decisions to ensure the new codebase is understandable and robust for future development
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Modernize the engineering simulation experience for thousands of engineers by replacing outdated UIs with intuitive, powerful PyQt-based interfaces
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Reduce technical debt by eliminating dependencies on legacy Tcl/Tk frameworks and delivering a codebase that is easier to maintain and extend
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Improve the reliability and speed of pre- and post-processing workflows, making simulation runs more efficient for users
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Enable the integration of new simulation features and result types that were previously difficult or impossible under the old UI
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Raise the standard for user experience in engineering software, making complex simulation tasks feel accessible and straightforward
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Directly support the flagship Ansys MAPDL product, impacting a critical toolset used across industries
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Provide clear documentation and modular code that accelerates onboarding for future engineers and smooths the path for long-term enhancements
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Bachelor’s degree with at least two years of experience or a Master’s in Computer Science, Engineering, or Equivalent in a related field
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2 - 4 Yrs of experience developing desktop GUIs in PyQt or Qt for Python
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Working knowledge of C++ preferred; role is Python / PyQt - focused initially with an expected transition to contributing to C++ backend components over time.
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Familiarity with engineering or scientific software workflows, ideally including simulation pre/post-processing
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Experience analyzing and migrating legacy GUI frameworks (Tcl/Tk experience is a plus)
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Strong Python programming skills, with a focus on maintainable, modular code
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Ability to integrate GUI components with backend simulation engines, data models, and file I/O systems
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Numerical simulation experience is preferred
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You break down complex legacy workflows and see a clear path to modernization, not just a pile of old code
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You can explain to a simulation engineer why a new UI element matters, and then translate that feedback into code
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You get hands-on with debugging, whether it’s a visualization glitch or a data integration hiccup, and you don’t stop until it’s right
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You document your work so the next person (or future you) can follow your reasoning without a scavenger hunt
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You look for small ways to improve usability every time you touch the codebase, not just when it’s assigned
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You are comfortable balancing user needs, technical constraints, and future extensibility in every decision
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