You will join the Meshing Development Unit (MDU), a dynamic group of engineers and researchers dedicated to advancing simulation technology.
\nAs a R&D Staff Engineer, you will research, design, and implement algorithms for 3D geometry processing and mesh generation incorporating AI/ML to increase automation and robustness.
\nYour expertise in AI/ML applications for 3D geometry processing, proficient software development skills, especially with Python and C/C++, and solid understanding of geometry processing, mesh generation, and numerical methods are essential.
\nYou will collaborate closely with the meshing software development team to plan, create, and evolve simulation software capabilities.
\nYour strong analytical skills and ability to overcome obstacles make you a natural fit for an innovative team by pushing the boundaries of simulation technology.
\nYou will accelerate the adoption of AI/ML technologies within simulation software, making model creation faster and more accessible.
\nYou will enable engineers and researchers to solve complex geometric and numerical problems more efficiently.
\nYou will improve the accuracy and performance of simulation models through advanced mesh generation techniques.
\nYou will drive innovation in the field of computational geometry and simulation technology.
\nYou will contribute to the development of robust, scalable software solutions used by leading companies worldwide.
\nYou will help Synopsys maintain its leadership in high-performance simulation and design automation tools.
\nThe base salary range for this role is $120,000-$180,000.
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\nYour strong foundation in data structures, parallel algorithms, and high-performance computing allows you to approach technical problems with both creativity and precision.
\nYou thrive in collaborative R&D environments, valuing clean, scalable software architecture and rigorous technical standards.
\nAs an emerging leader, you consistently inspire those around you, fostering a culture of innovation and excellence.
\nYou are motivated by the opportunity to make a tangible impact, both on Synopsys' products and on the global engineering community.
\nDesigning and implementing high-performance software components that drive the accuracy, scalability, and reliability of mesh generation software platforms.
\nDeveloping and optimising parallel and distributed algorithms to support advanced engineering workflows across large-scale structural, fluids, and electromagnetic simulations.
\nCollaborating closely with QA, product management, and hardware engineering teams to deliver robust, high-quality simulation capabilities.
\nParticipating in code reviews, mentoring team members, and upholding rigorous standards for software architecture, maintainability, and performance.
\nInvestigating and resolving complex technical issues reported by QA or customers to ensure stability, reliability, and customer success in production environments.
\nContributing to the continuous improvement of development processes, tools, and best practices.
\nAdvance the development of cutting-edge mesh generation software enabling next-generation engineering solutions across diverse physics domains.
\nEnhance product performance, scalability, and robustness by implementing efficient parallel and distributed algorithms.
\nEstablish and promote best practices in software design, development, testing, and maintainability across the R&D team.
\nSupport Synopsys' industry leadership in high-performance simulation technology and engineering software innovation.
\nDeliver high-quality, high-reliability solutions that drive meaningful impact across the global technology ecosystem.
\nMentor and uplift team members, contributing to a culture of technical excellence and inclusive collaboration.
\nBS 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).
\nStrong proficiency in C++ and Python, with proven experience in data structures and parallel algorithms.
\nDeep understanding of software design principles.
\nHands-on experience with version control systems (such as Git), working within Windows and Linux environments, debugging, and performance optimisation.
\nProfessional experience in mesh generation, computational geometry, CAD, or related fields.
\nExposure to CAD/CAE tools, semiconductor technology, or electronics design will be a plus.
\nExhibits strong communication and leadership capabilities, indicating readiness to take on team leadership responsibilities soon.
\nA collaborative leader and mentor who inspires others to achieve their best.
\nAn excellent communicator able to articulate complex technical concepts to diverse audiences.
\nInnovative, results-driven, and adaptable to fast-changing environments.
\nProactive problem solver with a passion for continuous improvement.
\nCommitted to fostering an inclusive and supportive team culture.
\nJoin 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.
\nTogether, we are shaping the future of engineering through scalable, high-fidelity multi-physics simulation technologies.
\nWe offer a comprehensive range of health, wellness, and financial benefits to cater to your needs.
\nOur total rewards include both monetary and non-monetary offerings.
\nYour recruiter will provide more details about the salary range and benefits during the hiring process.
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\nAs a Senior R&D Engineer, you will design, implement, and maintain advanced algorithms for mesh generation and discrete geometry processing, leveraging AI technologies.
\nKey responsibilities include:
\nThe ideal candidate will have a strong foundation in computer science, computational geometry, or mathematics, with a proven track record of delivering high-quality software solutions.
\nExperience with software development related to mesh generation, discrete geometry data structures, large-scale data handling, geometry AI, or similar areas is essential.
\nStrong programming skills in Python and C/C++ are required, along with a working knowledge of software engineering principles, including design, implementation, and testing.
\nIf you are an analytical thinker with a keen interest in algorithm development and programming, and are passionate about delivering high-quality software solutions, this could be the perfect opportunity for you.
\nJoin the MDU team and contribute to the development of next-generation mesh generation and geometry processing products, enhancing performance and efficiency.
\nEmpower customers to solve complex engineering challenges with robust, scalable software solutions.
\nStrengthen Synopsys's leadership in computational geometry by contributing to cutting-edge research and development.
\nImprove product quality and customer satisfaction through proactive problem-solving and support.
\nFacilitate cross-functional collaboration, bridging gaps between engineering, product management, and customer support teams.
\nSet new benchmarks in software performance, memory efficiency, and algorithmic innovation within the industry.
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\nSynopsys software engineers are key enablers in the world of Electronic Design Automation (EDA), developing and maintaining software used in chip design, verification and manufacturing. They work on assignments like designing, developing, and troubleshooting software, leveraging the state-of-the-art technologies like AI/ML, GenAI and Cloud. Their critical contributions enable world-wide EDA designers to extend the frontiers of semiconductors and chip development.
\nJob Description
\nDate posted 02/22/2026
\nCategory Engineering
\nWe Are:
\nAt Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation.
\nYou Are:
\nYou are a passionate and experienced software engineer with a deep interest in computational engineering, computer science, and mesh generation. You thrive on complex challenges and enjoy designing, developing, and optimizing software that operates at scale. Your experience spans across multiple programming languages—C++, C#, Python, and Javascript—and you are equally at home building robust backend services as you are crafting intuitive user experiences. Analytical and meticulous, you are comfortable with both the theory and practice of computational geometry and software architecture. You value collaboration and continuous learning, and you are eager to contribute your expertise while mentoring others and growing within a dynamic, diverse team. Your commercial experience in large-scale software development environments has honed your ability to deliver high-quality, performant solutions that meet the demanding needs of industrial customers. You are proactive, resourceful, and able to work independently, but also recognize the power of teamwork in achieving outstanding results. Above all, you are excited by the prospect of shaping the next generation of mechanical meshing software and making a tangible impact on cutting-edge engineering applications around the world.
\nWhat You’ll Be Doing:
\nThe Impact You Will Have:
\nWhat You’ll Need:
\nWho You Are:
\nThe Team You’ll Be A Part Of:
\nYou will join the Meshing Development Unit (MDU), a dynamic and diverse group of engineers dedicated to advancing the state of mechanical meshing software. The team values creativity, technical excellence, and collaboration, working closely with product managers, UX designers, and strategic customers to deliver innovative solutions that set industry standards. Together, you will shape the future of simulation technology and empower customers across a wide range of engineering domains.
\nRewards and Benefits:
\nWe 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.
\nBenefits
\nAt Synopsys, innovation is driven by our incredible team around the world. We feel honored to work alongside such talented and passionate individuals who choose to make a difference here every day. We're proud to provide the comprehensive benefits and rewards that our team truly deserves.
\nVisit Benefits Page
\nComprehensive medical and healthcare plans that work for you and your family.
\nIn addition to company holidays, we have ETO and FTO Programs.
\nMaternity and paternity leave, parenting resources, adoption and surrogacy assistance, and more.
\nPurchase Synopsys common stock at a 15% discount, with a 24 month look-back.
\nSave for your future with our retirement plans that vary by region and country.
\nCompetitive salaries.
\n\\\\ Benefits vary by country and region - check with your recruiter to confirm
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\nAbout the Team
\nOur Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives.
\nAbout the Role
\nWe are hiring a Simulation Environments Engineer to build the tooling and infrastructure that enable high-coverage, realistic virtual environments for robotics research and evaluation. This role is focused on _creating the systems_ (not necessarily hand-crafting every asset) that let researchers and engineers describe, visualize, generate, and validate task environments at scale. You will design pipelines for importing and vetting 3rd-party content, author procedural and randomized scenario generators, and ship ergonomic tools that make environment creation fast, repeatable, and testable. This role sits at the intersection of game-engine practice, asset engineering, and large-scale simulation infrastructure.
\nThis role is based in San Francisco, CA, and requires in-person 3 days a week.
\nIn this role, you will:
\nYou might thrive in this role if you:
\nAbout OpenAI
\nOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to
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