Staff Engineer Design

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:

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