# Technical Product Management, Principal Engineer (m/f/d) **Company**: Synopsys **Location**: Munich, Bavaria **Experience**: senior **Job type**: full-time **Category**: Product Management **Industry**: Technology **Ticker**: SNPS **Wikidata**: https://www.wikidata.org/wiki/Q2303478 **Apply**: https://careers.synopsys.com/job/munich/technical-product-management-principal-engineer-m-f-d/44408/101675489312?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_d07b695b-67d ## Description You will be part of Synopsys, the leader in engineering solutions from silicon to systems, enabling customers to rapidly innovate AI-powered products. As a Technical Product Management, Principal Engineer, you have spent years deep in analog and mixed-signal design, close enough to the schematic, the simulation deck, and the layout to know exactly where designers lose hours to manual work that should not exist anymore. **Responsibilities** - Define product vision, strategy, and roadmap for analog and mixed-signal design automation tools that directly address productivity bottlenecks in schematic capture, SPICE simulation, layout, physical verification, and parasitic extraction - Work directly with analog designers and layout engineers to map their workflows, identify where time is lost, and translate those pain points into product requirements and prioritized feature sets - Drive the application of agentic AI and LLM-based automation to EDA workflows, determining where AI agents can safely automate tasks like corner analysis setup, simulation scripting, or DRC/LVS triage without introducing risk - Collaborate with engineering, AI/ML, and software teams to build prototypes, validate concepts with real design data, and iterate based on designer feedback and measurable outcomes - Translate complex analog design and verification workflows into clear technical specifications, user stories, and success metrics that engineering teams can build against - Engage with customers and internal design teams throughout the product lifecycle to validate direction, gather feedback, and ensure adoption of new capabilities - Track product performance through metrics like designer time saved, simulation turnaround time, layout closure speed, and tool adoption rates across customer and internal teams **The Impact You Will Have** - You will shape the next generation of analog and mixed-signal design automation tools used by semiconductor companies building everything from power management ICs to high-speed data converters - Your work will directly reduce design cycle time for analog engineers, turning workflows that took days into workflows that take hours through smarter automation and AI-assisted decision-making - You will help define how AI agents integrate into EDA, setting the standard for what safe, effective, and trustworthy AI-driven design automation looks like in production environments - The products you define will influence how thousands of analog designers interact with simulation, layout, and verification tools every day across the industry - You will bridge the gap between cutting-edge AI research and practical EDA application, ensuring that new technologies solve real problems rather than create new ones - Your roadmap decisions will directly impact Synopsys product differentiation in the analog and mixed-signal EDA market - You will help analog design teams adopt new methodologies and tools that improve quality, reduce respins, and accelerate time to tapeout **Requirements** - MS in Electrical or Computer Engineering with 10+ years of experience in semiconductor design, EDA development, analog/mixed-signal IC design, or design automation roles - Strong hands-on proficiency with analog and mixed-signal design methodologies, including schematic capture, SPICE-based simulation, corner analysis, Monte Carlo, transient/AC/DC/noise analysis, and post-layout simulation - Deep understanding of analog layout, physical verification workflows including DRC/LVS, parasitic extraction, and how extracted parasitics affect circuit performance and simulation accuracy - Experience translating design workflows into product requirements, prototypes, or automation solutions, whether as a designer building internal tools, an applications engineer supporting customers, or a product manager defining features - Familiarity with AI and ML techniques applied to EDA, particularly LLM-based systems, agentic AI, tool calling, workflow orchestration, and how autonomous or semi-autonomous agents can augment engineering tasks - Prior experience as an analog or mixed-signal designer, EDA engineer, applications engineer, or technical product manager is strongly preferred - Experience with major EDA platforms and analog design environments such as Cadence Virtuoso, Synopsys Custom Compiler, or similar tools is a plus ## Skills ### Required - analog and mixed-signal design - AI and ML techniques - EDA workflows - schematic capture - SPICE simulation - layout - physical verification - parasitic extraction ### Nice to have - Cadence Virtuoso - Synopsys Custom Compiler --- Source: [Apply at careers.synopsys.com](https://careers.synopsys.com/job/munich/technical-product-management-principal-engineer-m-f-d/44408/101675489312?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)