[Hiring] Senior CAD Semiconductor Engineer @Capgemini

Role 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.

• 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.

Qualifications

• Strong experience with full EDA flows: Simulation, synthesis, place & route, verification, DFT flows.
• Tools from Cadence, Synopsys, Siemens EDA (Mentor Graphics).
• 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.

Requirements

• 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).

Benefits

• Health insurance from the first days, regardless of the probationary period.
• Christmas holidays from December 25 to December 31.
• Cooperation with Superhumans center and Veteran HUB.
• Support for psychological rehabilitation and counseling for veterans.

Company Description

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. 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.