Capgemini Engineering is a world leader in engineering and R&D services. We combine our broad industry knowledge and cutting-edge technologies in digital and software to support the convergence of the physical and digital worlds. Every day, we help our clients to accelerate their journey towards Intelligent Industry.

At Capgemini, we are a responsible and diverse. Our organization has a strong 55-year heritage and deep industry expertise. We are trusted by our clients to address the entire breadth of their business needs—from strategy and design to operations. Our actions are fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering, and platforms.

About the project:

The project aims to develop Python modules leveraging GenAI with LLM models to address tasks within Silicon development. By integrating these modules into the RL Silicon generation framework, it enables real-time design utilities for Silicon engineers, enhancing efficiency and accuracy in the development process.

Your future tasks:

• Fine-tune GenAI LLM models tailored to address specific tasks and challenges in Silicon development, such as optimization, validation, and performance analysis
• Collaborate with the software engineering team to integrate ML/AI-driven functionalities seamlessly into existing client's EDA tools, ensuring compatibility and interoperability
• Work in close contact with team members and project stakeholders on customer’s side
• Take part in requirements analysis, tasks planning and estimation.
• Suggest technical and functional improvements to add value to the product
• Research and evaluate technical options to implement business requirements

Our Requirements:

• 5+ years of commercial SW development experience
• Familiarity with Natural Language Processing (NLP) techniques and language models, including LLMs, is important for leveraging text-based data and enhancing the capabilities of AI-driven solutions
• Experience with ML Model Training: Hands-on experience in training large-scale machine learning models, including LLMs, is crucial for optimizing model performance and ensuring suitability for Silicon development tasks
• Experience in data preprocessing techniques, feature engineering, and data augmentation is essential for preparing and enhancing datasets used in training ML/AI models, ensuring robustness and generalization
• Experience with source code management systems
• Good knowledge of all phases of the development lifecycle
• At least Upper-Intermediate level of English

Nice to have:

• Python experience is a plus

What have we prepared for you?

A lot of benefits:

• Flexible working hours
• Equipment package for home office
• Private medical care and life insurance with ability to buy additional packages (e.g., dental care, senior care, oncology) on preferential terms.
• Access to Capgemini Helpline with possibility to chat with therapists.
• Bonuses for recommending your friends to Capgemini.
• Access to Inspiro app with rich audiobooks database
• Access to our NAIS benefit platform (40+ options available: Netflix, SpotifyMultisport, cinema tickets, etc.)

Personal and professional development:

• 70+ training tracks with certification opportunities (e.g. MS Azure, AWS, Google, Cloud) on our NEXT training platform.
• Platform with free access to Pluralsight, TED TalksCoursera materials and trainings.
• Free access to Udemy Business account with ability to use during and outside working hours.
• Transparent performance management policy.

Our legendary atmosphere:

We value teamwork and good relationships. We work together, drink coffee together, and form friendships both inside and outside of work.

• No official dress-code.
• Various communities: OUTfront, Women@Capgemini, Foreigners Community, and more.
• Day off for volunteering
• Ability to implement world-changing initiatives thanks to our Grant Program
• The award of "Top Employer Poland 2024" and "Top Employer Europe 2024" - proof of our commitment to creating an exceptional work environment and caring for the development of our employees.​​​​​​

Who are we?

Being one of us means constant development among other great people. It's a team who you want to spend time with, during and after work. Trainings and initiatives make your daily tasks more interesting, fun, and unique.

Capgemini Engineering has 65,000 engineer and scientist team members in over 30 countries across sectors including Automotive, AI and Data, Software & Internet, Telecommunication, Rail, Infrastructure and Transportation, Defense, Aeronautics, Energy, Communications, Semiconductor & Electronics, Industrial & Consumer. Join us on a journey towards Intelligent Industry!

It's time to #Get the Future You Want!

Your life is in your hands, and you have the opportunity to improve it, develop yourself, and simply — join us :)

Do you want to get to know us better? Visit our Capgemini Engineering website!

Do you have any additional questions about working at Capgemini? Check our Instagram — @capgeminipl or visit our Facebook profile — Capgemini Engineering. You can also find us on TikTok! — @capgeminipl.