MissionDefine, deploy, and maintainEDA tool flows and CAD infrastructuresupporting semiconductor design and verification activities across full SoC lifecycle.
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Drive the evaluation, benchmarking, and integration ofEDA tools (Cadence, Synopsys, Siemens EDA, Arteris)and associated flows to maximize productivity, reliability, and scalability.
Own theengineering infrastructure environment(compute, storage, licensing, CI/CD, automation) required for advanced chip design workloads.
Collaborate with design, verification, and physical implementation teams to ensureefficient, robust, and scalable tool usage.
Explore and integrateAI/ML-based tooling and workflowsto improve engineering productivity (automation, debugging, optimization, knowledge extraction).
Ensure optimal trade-offs betweenperformance, cost, scalability, and usabilityof the CAD environment.
Act as akey technical interfacebetween internal engineering teams, management, and EDA vendors.
Provide regular reporting ontool performance, usage, and roadmap alignment.
Main ResponsibilitiesDefine, deploy, and maintainEDA flowsfor digital, mixed-signal, and verification activities (simulation, synthesis, P&R;, DFT, signoff).
Evaluate, benchmark, and qualifynew EDA tools, releases, and methodologiesbefore 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 manageCI/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 enforcebest practices and standardsfor 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 ***** environments).
Technical SkillsEDA / 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 ISO*****, 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
Requirements
Educational background:Master's degree (or equivalent)



in Microelectronics, Electrical Engineering, or related field
Required Experience
8–15+ years in CAD / EDA / semiconductor infrastructure
Proven experience in EDA tool deployment and flow ownership
Strong exposure to semiconductor design environments
What Will You Love About Working Here
Collaborative and Inclusive Culture: You'll work alongside passionate engineers striving to provide the best service to our clients and communities with shared interests and identities, in a dynamic environment involving teams spread across different global locations.
Flexibility and Growth: Enjoy flexible working hours and access to a wide range of professional development opportunities, including training programs, learning platforms and certifications.
Whether you're diving into Generative AI, data science, or sustainability, our digital campus supports your learning journey every step of the way;
Comprehensive Benefits: Vantaggi from an attractive package including medical services, eye glasses coverage, Benefit online, meal tickets, Employee Assistance Program (covering financial, legal, and emotional matters), and the Employee Share Option Plan.
Capgemini Romania is an equal opportunity employer.
We promote equality and dignity in all aspects of recruitment and employment, and all offers of employment and promotions are made on the basis of performance, competence and ability.
About CAPGEMINI
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society.
It is a responsible and diverse group of 340,000 team members in more than 50 countries.
With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs.
xysqume It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
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📌 Senior Cad Semiconductor Engineer (Emilia-Romagna)
🏢 Capgemini
📍 Emilia-Romagna