#WeAreIn to make sense of data by turning problems into opportunities. Transforming data into decisions, are you ready to shape the future As a Senior Data Scientist on the Software & Data Science team, you will leverage your expertise in Generative AI, including Generative Adversarial Networks (GANs), Transformers, and other deep learning architectures, to drive innovation and business impact through the development and deployment of cutting-edge AI models. get ready to program the intelligence behind the chips, transform complex data into actionable insights that redefine industries and solve tomorrow's challenges. Are you in
Your Role
Key responsibilities in your new 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
- 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 Generative AI (LLM, VLM, AI Agent) 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 frameworks such as TensorFlow, PyTorch, and Keras, and ability to generate high-quality, realistic data such as images, videos, and text.
- Experience with data engineering and DataOps best practices.
- 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.
- Able to learn R&D aspects of the product like Placement, Routing, Congestion etc.
Contact:
[Confidential Information]
#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 applicants experience and skills. Learn more about our various contact channels.
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