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Salary
≈ $20k – $44k per year (Estimated)
Location
Remote (Ukraine)
Seniority
Senior
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 27, 2026. First seen by Alion on Oct 5, 2026. Capgemini scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Capgemini is a French information technology services and consulting group founded in Grenoble in 1967 by Serge Kampf, and one of the largest IT service providers in the world. It designs, builds and runs systems for large enterprises and governments across some fifty countries, with a delivery workforce concentrated in India and a European client base heavier than most of its competitors. The group is organised into Capgemini Invent for strategy and design, Capgemini Engineering for research and development services acquired with Altran, and Sogeti for local technology services, and it has reoriented its portfolio around cloud migration, data platforms and generative AI.

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.

Job Description

Assumptions:

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.

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.

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