- *Date posted** 06/10/2026
### **Category** **Engineering****Hire Type** **Employee****Job ID** **17690****Remote Eligible** **No****Date Posted** **06/10/2026**
### **We Are**
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 Are**
You have spent years building software where the geometry matters, where a mesh that looks fine in a demo falls apart under real loads. You know that meshing is not just discretization, it is the foundation that everything downstream depends on, and you have learned to balance mathematical rigor with performance constraints that actually ship.
You are comfortable moving between C\+\+ performance work, C\# tooling, and Python scripting. Lately, you have been experimenting with LLMs, RAG pipelines, or agentic workflows because you see real potential to accelerate how engineers interact with simulation workflows. You do not need a perfect spec to get started. You ask the right questions and find a path through ambiguity without creating technical debt.
Debugging does not intimidate you. Whether it is a segfault in a million\-line C\+\+ codebase or a model that behaves differently on GPU versus CPU, you dig in and figure it out. At Synopsys, you will work on meshing capabilities that power mechanical simulation products, and what you build will directly affect how engineers solve real\-world problems.
### **What You'll Be Doing**
- Design, develop, and maintain core meshing algorithms and frameworks in C\+\+ and C\# that support mechanical simulation workflows across Synopsys products
- Integrate meshing capabilities into flagship mechanical analysis products, working closely with product, solver, and platform engineering teams
- Build and prototype GenAI\-powered features using LLMs, RAG, MCP, Langchain, or Langgraph to improve simulation setup, automation, or user workflows
- Debug and optimize complex meshing code across Windows and Linux environments, including low\-level performance tuning and GPU acceleration where applicable
- Collaborate with mechanical engineers and domain experts to ensure meshing outputs meet the needs of structural, fluids, and thermal analysis use cases
- Contribute to software design and architecture decisions that shape the long\-term direction of meshing infrastructure
- Work with minimal supervision, owning features end to end from design through deployment and maintenance
### **The Impact You Will Have**
- Your meshing algorithms will directly influence the accuracy, speed, and reliability of simulations used by engineers solving real\-world mechanical and fluids problems
- The GenAI prototypes you build will shape how Synopsys integrates intelligent automation into simulation workflows, potentially redefining how users interact with complex CAE tools
- Your architectural decisions will set the foundation for meshing capabilities that scale across multiple products and platforms
- The performance optimizations you implement will reduce solve times and improve user experience for engineers running large\-scale simulations
- Your collaboration across teams will ensure meshing infrastructure evolves in lockstep with solver, geometry, and platform advancements
- The quality and maintainability of your code will enable future engineers to build on solid ground rather than work around legacy constraints
- Your technical leadership will help define best practices for meshing, DevOps, and AI integration within the Synopsys simulation ecosystem
### **What You'll Need**
- Bachelor's or Master's in Computer Science, Mechanical Engineering, Computational Engineering, or equivalent practical experience
- 7\+ years of hands\-on software development experience with strong proficiency in C\+\+ for performance\-critical systems
- Demonstrated experience with meshing algorithms, computational geometry, or CAE software development
- Working knowledge of C\# and Python for tooling, scripting, or workflow automation
- Solid grounding in software design, architecture, debugging, and development in large, complex codebases
- Experience with GenAI technologies such as LLMs, RAG pipelines, MCP, Langchain, or Langgraph is a strong plus
- Familiarity with mechanical engineering domains like structural analysis, fluids, or thermal simulation is a plus, as is experience with DevOps practices, GPU programming, or cross\-platform development on Windows and Linux
### **Who You Are**
- You can explain a meshing tradeoff to a mechanical engineer in two sentences and then turn around and justify the same decision to a software architect using completely different language
- You do not wait for perfect information or fully baked requirements, you work with what you have, ask clarifying questions, and move forward without creating downstream confusion
- Debugging energizes you rather than drains you, whether it is a memory leak, a numerical instability, or a workflow that breaks only on certain hardware configurations
- You have a point of view on software design and you push back when an approach will not scale or when a feature request is missing critical context
- You are comfortable working across global teams and time zones, coordinating with product managers, domain experts, and other engineers to land complex features
- You take ownership seriously, when you commit to delivering something, it gets done, and it gets done right
### **The Team You'll Be Part Of**
You will join the meshing team within Synopsys Simulation and Analysis, focused on exposing and integrating core meshing capabilities into mechanical flagship products. This is a team that works at the intersection of computational geometry, mechanical engineering, and software architecture, and your work will directly shape how simulation users experience meshing across the product portfolio. The team is global, collaborative, and deeply technical, and you will have the opportunity to influence both product direction and engineering culture.
### **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.
\#AnsysJob \#TPG
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.