Job description

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. 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. In addition to the base salary, this role may be eligible for an annual bonus, equity, and other discretionary bonuses. Synopsys offers comprehensive health, wellness, and financial benefits as part of a competitive total rewards package. The actual compensation offered will be based on a number of job-related factors, including location, skills, experience, and education. Your recruiter can share more specific details on the total rewards package upon request. The base salary range for this role is across the U.S.

Requirements

Must-haves

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

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aillmpythonjavagorust

Platform: avature
Effort: medium

Benefits

Benefits detected in the listing.

Wellness