Proficient in Python programming language, with experience in using popular libraries and frameworks such as NumPy, pandas, and scikit-learn, and ability to write efficient and effective code. Your Role Own implementation ideas and coordinate with the Technical Lead Cooperation and implementation of the tasks is carried out independently , several tasks can be taken on in parallel Dive into the data to find key insights that impact the business Candidate must have the ability to interact with a worldwide cross-functional team & domain experts and collaborate productively is a necessity. A strong software engineering background is mandatory with emphasis on Python, Unix-based development. Coordination of requirements with customers and suppliers, problem analysis Evaluation of possible solutions based on the defined requirements Implementation of the solution, including coordination with the interfaces Quality assurance and preparation of the necessary documentation Representation and presentation of the results Data Ingestion Pipeline to extract the data from the EDA tools Data Management framework to extract insights from the captured Your Profile Qualifications and skills to help you succeed: Bachelor's / Master's Degree in Computer Science, Electrical/Electronic Engineering Minimum 3 years of experience working on Machine Learning and Minimum 1 years of experience in the field of understanding the EDA (Electronic Design Automation) tool chain and design flow Proficient in Python programming language, with experience in using popular libraries and frameworks such as NumPy, pandas, and scikit-learn, and ability to write efficient and effective code. Strong understanding of machine learning concepts, including supervised and unsupervised learning, regression, classification, clustering, etc. Strong understanding of Generative AI concepts, including Generative Adversarial Networks (GANs), Transformers, with experience in developing and deploying Generative AI models using frameworks such as TensorFlow, PyTorch, and Keras, and ability to generate high-quality, realistic data such as images, videos, and text Experience with data pre-processing, feature engineering, and model evaluation A good background in UNIX/Linux and experimental data handling is strongly desired Experience building large-scale data processing pipelines Working proficiency in SQL/NoSQL/ Elastic search Experience working with big data - identifying trends, patterns, and outliers in large volumes of data Strong communication and collaboration skills, with the ability to work with cross-functional teams * Able to learn R&D aspects of the product like Placement, Routing, Congestion etc Contact: [email protected] #WeAreIn for driving decarbonization and digitalization. As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener. Are you in? We are on a journey to create the best Infineon for everyone. This means we embrace diversity and inclusion and welcome everyone for who they are. At Infineon, we offer a working environment characterized by trust, openness, respect and tolerance and are committed to give all applicants and employees equal opportunities. We base our recruiting decisions on the applicant´s experience and skills. Learn more about our various contact channels. Please let your recruiter know if they need to pay special attention to something in order to enable your participation in the interview process. Click here for more information about Diversity & Inclusion at Infineon.
