Description
You are a passionate and accomplished software engineer, recognised for your expertise in C++ and Python and your ability to solve complex simulation and engineering software challenges.
Your strong foundation in data structures, parallel algorithms, and high-performance computing allows you to approach technical problems with both creativity and precision.
You thrive in collaborative R&D environments, valuing clean, scalable software architecture and rigorous technical standards.
As an emerging leader, you consistently inspire those around you, fostering a culture of innovation and excellence.
You are motivated by the opportunity to make a tangible impact, both on Synopsys' products and on the global engineering community.
Designing and implementing high-performance software components that drive the accuracy, scalability, and reliability of mesh generation software platforms.
Developing and optimising parallel and distributed algorithms to support advanced engineering workflows across large-scale structural, fluids, and electromagnetic simulations.
Collaborating closely with QA, product management, and hardware engineering teams to deliver robust, high-quality simulation capabilities.
Participating in code reviews, mentoring team members, and upholding rigorous standards for software architecture, maintainability, and performance.
Investigating and resolving complex technical issues reported by QA or customers to ensure stability, reliability, and customer success in production environments.
Contributing to the continuous improvement of development processes, tools, and best practices.
Advance the development of cutting-edge mesh generation software enabling next-generation engineering solutions across diverse physics domains.
Enhance product performance, scalability, and robustness by implementing efficient parallel and distributed algorithms.
Establish and promote best practices in software design, development, testing, and maintainability across the R&D team.
Support Synopsys' industry leadership in high-performance simulation technology and engineering software innovation.
Deliver high-quality, high-reliability solutions that drive meaningful impact across the global technology ecosystem.
Mentor and uplift team members, contributing to a culture of technical excellence and inclusive collaboration.
BS degree with 5+ years of relevant experience, MS degree with 3+ years of experience, or a PhD in Computer Science, Engineering, or a related field (or equivalent practical experience).
Strong proficiency in C++ and Python, with proven experience in data structures and parallel algorithms.
Deep understanding of software design principles.
Hands-on experience with version control systems (such as Git), working within Windows and Linux environments, debugging, and performance optimisation.
Professional experience in mesh generation, computational geometry, CAD, or related fields.
Exposure to CAD/CAE tools, semiconductor technology, or electronics design will be a plus.
Exhibits strong communication and leadership capabilities, indicating readiness to take on team leadership responsibilities soon.
A collaborative leader and mentor who inspires others to achieve their best.
An excellent communicator able to articulate complex technical concepts to diverse audiences.
Innovative, results-driven, and adaptable to fast-changing environments.
Proactive problem solver with a passion for continuous improvement.
Committed to fostering an inclusive and supportive team culture.
Join our globally distributed Synopsys meshing development team, where you will collaborate with talented engineers advancing the state-of-the-art in mesh generation, high-performance computing, and distributed simulation workflows.
Together, we are shaping the future of engineering through scalable, high-fidelity multi-physics simulation technologies.
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.