Among computer occupations, all other, AI is already used for a large share of the tasks. Measured exposure for computer occupations, all other: 31% (high).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

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Synopsys has filed one layoff notice in the last twelve months, covering 128 workers, most recently August 2026. These are public filings with state labor departments, and an open role can sit alongside them. See the filings

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About the job

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 the better part of two decades building systems that have to hold together under real-world pressure, not just pass architecture reviews. You know that the difference between an AI platform that transforms how engineers work and one that becomes shelfware is usually a decision made six months earlier about graph representation, code analysis pipelines, or how knowledge gets extracted and indexed. You are the kind of architect who catches that decision before it ships.

Your expertise sits at a rare intersection: deep systems programming in C/C++, hands-on work with LLVM and compiler technologies, and a sophisticated understanding of how knowledge graphs, LLMs, and agentic AI systems actually work together at scale. You do not just talk about graph algorithms or code analysis, you have built platforms that use them to solve real problems like automated refactoring, security analysis, or intelligent code search across millions of lines.

You move comfortably between writing technical strategy documents that guide multi-year platform investments and sitting with a team of engineers debugging why a graph traversal is bottlenecking at scale. Executives trust your judgment because you connect technical choices to business outcomes without hand-waving. Engineers respect you because you have been in the code, you understand the tradeoffs, and you elevate the technical bar for everyone around you.

At Synopsys, you will architect AI and infrastructure platforms that power how semiconductor innovation happens. The problems are hard, the scale is real, and what you build will matter.

What You'll Be Doing

Define and maintain enterprise architecture blueprints for GenAI, agentic AI, and infrastructure-native platforms that integrate knowledge graphs, program analysis, and LLM-powered workflows

Architect large-scale AI platforms that combine graph databases like Neo4j, code analysis frameworks using LLVM/Clang, and semantic search systems to enable intelligent developer tools and automated software optimization

Evaluate and guide adoption of emerging technologies in graph analytics, Graph Neural Networks, compiler technologies, and AI-powered code generation, ensuring alignment with long-term platform strategy

Drive architectural alignment across business units to minimize fragmentation, reduce technical debt, and establish reusable patterns for knowledge extraction, code mining, and software security analysis

Provide architectural oversight for critical programs and flagship customer deployments, reviewing designs for scalability, security, compliance, and extensibility across distributed AI workloads

Partner with hyperscalers, AI vendors, and open-source communities to shape joint technical roadmaps, influence integrations, and contribute to graph platforms and compiler ecosystems

Author and review architecture decision records, technical strategy documents, and design patterns that guide execution across teams building on ASTs, IRs, call graphs, CFGs, and DFGs

The Impact You Will Have

Enable scalable, repeatable adoption of AI-powered developer platforms across Synopsys, accelerating how engineers analyze, optimize, and generate code

Reduce technical risk and architectural fragmentation by establishing clear standards for knowledge graph design, program analysis pipelines, and LLM integration patterns

Accelerate time-to-market for AI-driven products by building reusable infrastructure for code search, automated refactoring, entity resolution, and relationship extraction

Improve platform reliability, security, and performance for mission-critical workloads that depend on large-scale graph analytics, static/dynamic analysis, and compiler optimizations

Enhance developer productivity across the enterprise by enabling intelligent tooling that understands code structure, dependencies, and semantic context at scale

Strengthen customer confidence by delivering robust, enterprise-grade AI solutions that combine knowledge graphs, program analysis, and generative AI in ways competitors cannot easily replicate

Influence strategic technology investments with long-term architectural foresight, ensuring Synopsys stays ahead in graph-based AI, agentic systems, and compiler-driven automation

Elevate overall engineering quality by mentoring senior architects and principal engineers, raising the bar for systems thinking, technical rigor, and architectural integrity

What You'll Need

15+ years of experience in software engineering, architecture, or platform development, with at least 8 years designing and delivering large-scale infrastructure-native systems

Recognized expertise in graph algorithms, knowledge graphs, and large-scale graph analytics, including graph traversal, ranking, entity resolution, and relationship extraction

Strong background in C/C++ systems programming, static and dynamic code analysis, software optimization, and compiler technologies including LLVM/Clang, ASTs, IRs, call graphs, CFGs, and DFGs

Proven ability to architect scalable AI-powered platforms that leverage LLMs, knowledge graphs, program analysis, code generation, and automated refactoring in production environments

Deep knowledge of GenAI, agentic AI patterns, and AI system design, with hands-on experience integrating graph databases like Neo4j, RDF/SPARQL, Graph Neural Networks, and semantic search systems

Exceptional communication skills with a track record of explaining complex technical concepts to executive audiences and influencing enterprise-wide technology decisions

Demonstrated thought leadership through architecture reviews, technical publications, patents, or contributions to developer tools, graph platforms, compiler technologies, or open-source ecosystems; proficiency in Python, Java, Go, and Rust is a plus

Who You Are

You can walk into a room where a team is debating whether to use a graph database or a relational store for code dependency tracking and walk out with a decision that everyone understands and supports, because you explained the tradeoff in terms of query patterns, scale, and maintainability, not just theory

You mentor senior architects and principal engineers by asking the questions that shift how they think about a problem, not by giving them the answer

You write architecture decision records that engineers actually read and reference six months later because they are clear, specific, and grounded in real constraints

You represent Synopsys as a senior technologist with customers, partners, and at industry forums, and people leave those conversations with more clarity and confidence in the technical direction

You push back when a business requirement does not map to a sustainable architectural choice, and you do it in a way that builds trust rather than friction

You stay current with emerging AI, graph, and compiler technologies not because it is trendy but because you are genuinely curious about how they solve problems you care about

The Team You'll Be Part Of

You will join a high-impact team of senior architects and platform engineers dedicated to advancing Synopsys' AI infrastructure and ecosystem platforms. This team operates at the forefront of technology, championing architectural excellence and driving enterprise-wide innovation. The team's core focus is on building scalable, secure, and extensible GenAI and agentic AI systems, enabling transformative solutions for internal and external customers. Collaboration, mentorship, and technical leadership are central to the team's culture, ensuring that Synopsys remains a leader in the AI and infrastructure space.

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.