Senior CAD Semiconductor Engineer (EDA Flow )
Capgemini Engineering
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
Assumptions
Job Description
This Job Description document is mainly for a Senior CAD Engineer / Technical Lead. Leadership expectations can be adjusted for more junior roles with increased hands-on focus.
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).
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
What you will have working here
Assumptions
Job Description
This Job Description document is mainly for a Senior CAD Engineer / Technical Lead. Leadership expectations can be adjusted for more junior roles with increased hands-on focus.
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).
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
What you will have working here
- We care about all our employees and want them to feel as comfortable as possible. That's why we offer health insurance from the first days, regardless of the probationary period.
- The Gift from the Company - Christmas holidays from December 25 to December 31.
- Cooperation with Superhumans center and Veteran HUB. Capgemini Engineering has supported the launch of psychological rehabilitation department of Superhumans. Our team also donated over UAH 500 000 prosthetics for three Ukrainian defenders. Currently, we support psychological counseling provided by the Veteran Hub, and we have implemented an internal policy making the company friendly to military and veterans with the assistance of the Hub.
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