Job Description
Date posted 05/14/2026 Category Engineering *Hire Type Employee *Job ID 17235 *Base Salary Range $181000-$271000 *Remote Eligible No****Date Posted 05/14/2026 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 platforms that sit at the intersection of physics, simulation, and AI, and you understand that the hard part is not making something work once, it is making it work reliably across teams, geographies, and use cases you did not anticipate. You think in systems. When someone describes a product requirement, you are already mapping dependencies, identifying bottlenecks, and sketching out what the architecture needs to look like six months from now when the load doubles and the data gets messier. You have built distributed systems that actually scale. Not in a slide deck, in production. You know the difference between a clever solution and a maintainable one, and you have learned when to choose each. Working with technologies like OpenUSD, Omniverse, or similar 3D and simulation stacks does not intimidate you because you have done the work of integrating complex external platforms into your own architecture before. You do not need to be the person writing every line of code, but you can. You review pull requests with an eye for what will break under load. You mentor engineers not by telling them what to do, but by asking the questions that help them see the tradeoffs. At Synopsys, you will architect a platform that powers the next generation of physical AI, digital twins, and simulation-driven workflows, and the decisions you make will shape how teams across the company build on top of it. What You'll Be Doing Define and drive the overall software architecture for a next-generation Physical AI platform that integrates 3D data, simulation environments, and AI-driven workflows Design scalable, modular systems that support both on-premise and cloud deployments, balancing performance, reliability, and maintainability Evaluate and integrate technologies including OpenUSD, NVIDIA Omniverse Libraries, Modulus, PhysicsNeMo, and NIMs into a cohesive platform architecture Translate requirements from product management, research teams, and cross-functional stakeholders into concrete technical designs and implementation roadmaps Lead architecture reviews, set coding standards, and establish patterns that ensure high code quality, performance, and scalability across engineering teams Architect deployment strategies across AWS, Azure, or GCP, leveraging containerization and orchestration technologies like Docker and Kubernetes Mentor engineers across the organization, providing technical leadership through design reviews, pair programming, and strategic guidance on complex problems The Impact You Will Have Shape the architectural foundation of a platform that enables advanced simulation, digital twins, and AI-driven workflows used across Synopsys product lines Enable engineering teams to build faster and more reliably by establishing clear patterns, reusable components, and scalable infrastructure Accelerate time-to-market for Physical AI solutions by making smart integration decisions that reduce friction between research prototypes and production systems Improve system performance and scalability, ensuring the platform can handle increasing data volumes, user loads, and computational complexity Influence how Synopsys leverages emerging technologies like OpenUSD and NVIDIA Omniverse, positioning the company at the forefront of physical AI innovation Reduce technical debt and long-term maintenance costs by designing systems that are modular, testable, and adaptable to future requirements Elevate engineering practices across teams through mentorship, code reviews, and the establishment of architectural standards that raise the bar company-wide What You'll Need MS or PhD in Computer Science, Electrical Engineering, or a related discipline 12+ years of software development and system architecture experience, with a track record of designing and shipping distributed, scalable systems Strong programming