
ThessalonikiSteliou Kazantzid Senior CAD Semiconductor Engineer
Capgemini · Products & Systems Engineering
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Job description
Technical Skills EDA / CAD Flow Expertise Strong experience with full EDA flows Simulation, synthesis, place & route, verification, DFT flows Tools from Cadence , Synopsys , Siemens EDA (Mentor Graphics) Tool validation, qualification, and deployment Strong experience with EDA licensing systems (FlexLM/Flexera) Tool versioning, release management, and regression validation Good understanding of RTL design, verification flows, and physical design constraints Interaction between tools and silicon quality/productivity Knowledge in ISO26262, DO-254 is a plus Infrastructure & Automation Strong experience in Linux-based compute farms for EDA workloads Distributed storage systems (NFS, parallel/distributed FS) CI/CD systems ( Jenkins , GitLab CI or equivalent ) Scripting and automation Python , Perl , Shell, TCL Infrastructure-as-code and automation mindset Experience with Monitoring and performance optimization Backup, disaster recovery, high availability AI / Modern Engineering Tooling Practical experience with AI/LLM-based tooling integration (e.g., Copilot, OpenAI, Gemini, Mistral) Hybrid AI infrastructure (cloud + on-prem GPU environments) Use cases such as Workflow automation Debug assistance Knowledge retrieval (RAG) Engineering productivity optimization Additional skills Object-oriented programming concepts Familiarity with Version control systems (Git, SVN, etc.) DevOps practices and toolchains Mission Define, deploy, and maintain EDA tool flows and CAD infrastructure supporting semiconductor design and verification activities across full SoC lifecycle. Drive the evaluation, benchmarking, and integration of EDA tools ( Cadence , Synopsys , Siemens EDA , Arteris ) and associated flows to maximize productivity, reliability, and scalability. Own the engineering infrastructure environment (compute, storage, licensing, CI/CD, automation) required for advanced chip design workloads. Collaborate with design, verification, and physical implementation teams to ensure efficient, robust, and scalable tool usage . Explore and integrate AI/ML-based tooling and workflows to improve engineering productivity (automation, debugging, optimization, knowledge extraction). Ensure optimal trade-offs between performance, cost, scalability, and usability of the CAD environment. Act as a key technical interface between internal engineering teams, management, and EDA vendors. Provide regular reporting on tool performance, usage, and roadmap alignment . Main Responsibilities Define, deploy, and maintain EDA flows for digital, mixed-signal, and verification activities (simulation, synthesis, P&R, DFT, signoff). Evaluate, benchmark, and qualify new EDA tools, releases, and methodologies before production deployment. Design and operate EDA infrastructure environments , including Compute farms (Linux-based clusters for simulation and regression) Storage systems (NFS, distributed storage, backup/DR) License servers (FlexLM/Flexera) Develop and maintain automation frameworks for Tool installation and configuration Regression and CI/CD pipelines Resource provisioning and monitoring Implement and manage CI/CD pipelines (e.g., Jenkins , GitLab CI ) for design and verification workflows. Collaborate with engineering teams to Optimize tool usage and flows Debug tool-related issues Improve turnaround time and efficiency Maintain strong interaction with EDA vendors ( Cadence , Synopsys , Siemens) Tool support, issue resolution, roadmap alignment Licensing strategy and capacity planning Define and enforce best practices and standards for CAD usage and tool flows. Integrate AI-driven capabilities into engineering workflows, including LLM-assisted scripting and automation AI-based log analysis, debug assistance, and workflow optimization Hybrid cloud/on-prem AI infrastructure for sensitive data Support security, compliance, and reliability requirements (e.g., ISO 27001 environments). Ref. code: 527569 Posted on: 26 Sept 2026 Experience Level: Experienced Professionals Contract Type: Permanent Location: Thessaloniki/Steliou Kazantzid, GR Athinai, GR Brand: Capgemini Engineering Professional Community: Products & Systems Engineering Apply now » Apply Now Start applying with LinkedIn Please wait... Find similar jobs: All rights reserved by Capgemini. Copyright © 2025 Cookie Consent Manager When you visit any website, it may store or retrieve information on your browser, mostly in the form of cookies. Because we respect your right to privacy, you can choose not to allow some types of cookies. However, blocking some types of cookies may impact your experience of the site and the services we are able to offer. Required Cookies These cookies are required to use this website and can't be turned off. 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