R&D Engineering, Engineer

Category Engineering Hire Type Employee Job ID 17351 Remote Eligible No Date Posted 05/07/2026

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 are someone who gets excited when a problem doesn't have an obvious answer. Maybe you spent your undergrad years deep in computational geometry proofs, or building simulations that required you to think hard about how data structures behave under pressure. Either way, you learned that elegant algorithms matter, and that the difference between something that works on paper and something that scales to real geometry is usually in the details you catch early.

You do not need years of industry experience to contribute. What you bring is aptitude, the ability to look at a meshing problem, break it down, and start building toward a solution without waiting for someone to hand you the exact path forward. You are comfortable writing C++ that needs to perform, and you understand that memory efficiency is not an optional nice-to-have when you are dealing with large datasets.

You want to work on problems that matter, not just ship features. At Synopsys, you will be part of a team building GPU-enabled meshing technology from the ground up, and what you create will directly shape how engineers simulate and analyze complex systems.

What You'll Be Doing

• Design and implement algorithms for mesh generation that handle complex geometry datasets efficiently
• Build HPC-enabled software components in C++ that prioritize memory efficiency and performance at scale
• Write, test, and document code that other engineers will rely on, ensuring it is maintainable and robust
• Debug and resolve issues surfaced by QA or product support teams, tracing root causes and delivering fixes that hold
• Apply software engineering best practices including code review, version control with Git, and continuous integration workflows
• Work closely with a senior engineer or tech lead who will guide your growth and help you navigate technical tradeoffs
• Contribute to early-stage R&D work where your decisions will influence product direction and technical architecture

The Impact You Will Have

• Build foundational algorithms that set new benchmarks for meshing performance and memory efficiency in CAE tools
• Enable Synopsys customers to simulate larger, more complex geometries faster than they could before
• Shape the technical direction of GPU meshing technology during its formative stage, when architectural decisions matter most
• Contribute to software that directly affects how engineers across industries use our simulation and analysis platforms
• Help establish coding standards, testing practices, and workflows that will scale as the team and product grow
• Accelerate the development cycle by writing reliable, well-documented code that reduces downstream integration friction
• Support the broader engineering team by resolving critical issues quickly and thoroughly

What You'll Need

• Bachelor's or Master's degree in Computer Graphics, Computer Science, Computational Geometry, Mathematics, or Engineering from IITs, IISC, or NITs
• Strong programming skills in C/C++ with attention to performance and memory management
• Ability to analyze complex problems, break them into solvable pieces, and build efficient solutions
• Understanding of parallel programming concepts and how to apply them in practice
• Experience with Python is a plus
• Prior work in mesh generation, computational geometry, or scientific computing is a plus
• Familiarity with software engineering principles including design, implementation, testing, and version control is a plus

Who You Are

• You can take a vague problem statement, ask the right clarifying questions, and turn it into working code without needing your hand held
• You care about code quality, not because someone is watching, but because you know messy code creates problems three months later
• You are comfortable working alongside senior engineers who will challenge your assumptions and help you grow technically
• You can explain a technical tradeoff in plain language, whether you are talking to another engineer or someone outside your immediate team
• You do not get stuck when something breaks, you dig in, trace the issue, and figure out what went wrong
• You are eager to learn new tools, techniques, and domains, especially in areas like GPU programming or high-performance computing

The Team You'll Be Part Of

You will join a team in the Meshing Development Unit (MDU) focused on developing GPU meshing technology, a new and strategically important area for Synopsys. This is early-stage work where your contributions will shape the product direction and technical foundation. You will collaborate with talented engineers working on high-impact problems that directly affect how customers use our CAE tools.

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.