Inactive
C

Capgemini

Global consulting, technology services, outsourcing

EDA Engineer - EDA Tools, Semiconductors

Hardware EngineeringPosted on Oct 23
Full-timeNo salary listed

About the Job

Requirements

  • Strong experience with full EDA flows, including simulation, synthesis, place and route, verification, and DFT flows.
  • Strong experience with tools from Cadence, Synopsys, and Siemens EDA (Mentor Graphics).
  • Experience with tool validation, qualification, and deployment.
  • Strong experience with EDA licensing systems such as FlexLM/Flexera.
  • Experience with tool versioning, release management, and regression validation.
  • Strong experience with Linux-based compute farms for EDA workloads.
  • Strong experience with distributed storage systems, including NFS and parallel or distributed file systems.
  • Experience with CI/CD systems such as Jenkins and GitLab CI or equivalent.
  • Scripting and automation experience with Python, Perl, Shell, and TCL.
  • A Master's degree or equivalent in Microelectronics, Electrical Engineering, or a related field.
  • At least 5 years of experience in CAD, EDA, or semiconductor infrastructure.
  • Proven experience in EDA tool deployment and flow ownership.
  • Strong exposure to semiconductor design environments.

Responsibilities

  • Define, deploy, and maintain EDA flows for digital, mixed-signal, and verification activities, including simulation, synthesis, place and route, DFT, and signoff.
  • Evaluate, benchmark, and qualify new EDA tools, releases, and methodologies before production deployment.
  • Design and operate EDA infrastructure environments, including Linux-based compute farms for simulation and regression, storage systems for NFS, distributed storage, backup and disaster recovery, and FlexLM/Flexera license servers.
  • Develop and maintain automation frameworks for tool installation and configuration, regression and CI/CD pipelines, and resource provisioning and monitoring.
  • Implement and manage CI/CD pipelines, such as Jenkins and GitLab CI, for design and verification workflows.
  • Collaborate with engineering teams to optimize tool usage and flows, debug tool-related issues, and improve turnaround time and efficiency.
  • Maintain strong interaction with EDA vendors, including Cadence, Synopsys, and Siemens.
  • Define and enforce best practices and standards for CAD usage and tool flows.
  • Integrate AI-driven capabilities into engineering workflows.
  • Support security, compliance, and reliability requirements, including in ISO 27001 environments.
  • Define, deploy, and maintain EDA tool flows and CAD infrastructure supporting semiconductor design and verification across the full SoC lifecycle.
  • Drive evaluation, benchmarking, and integration of EDA tools, including Cadence, Synopsys, Siemens EDA, and Arteris, and associated flows to maximize productivity, reliability, and scalability.
  • Own the engineering infrastructure environment, including compute, storage, licensing, CI/CD, and 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 through automation, debugging, optimization, and knowledge extraction.
  • Ensure optimal trade-offs among 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.

About the Company

Capgemini

Global consulting, technology services, outsourcing

Capgemini provides consulting, technology services, and outsourcing to help organizations transform digitally. Its offerings include strategy and transformation consulting, system integration, application development, IT infrastructure management, and managed IT operations. It differentiates itself with a global presence in over 50 countries and a focus on applying AI, cloud, and cybersecurity to real business problems. Its goal is to help clients navigate digital transformation and improve efficiency and innovation through tailored, contract-based or managed services.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1967

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