Job
Description
As a Hardware Engineer at Qualcomm India Private Limited, you will play a crucial role in planning, designing, optimizing, verifying, and testing electronic systems. Your responsibilities will include working on various systems such as circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems. You will be instrumental in launching cutting-edge products by collaborating with cross-functional teams to develop solutions and meet performance requirements. Key Responsibilities: - Design and implement end-to-end data analytics workflows tailored to semiconductor engineering use cases. - Develop, train, and optimize ML models using supervised, unsupervised, and deep learning techniques. - Perform feature engineering, model evaluation, and hyperparameter tuning to improve model performance. - Build scalable data ingestion and transformation pipelines using Python and cloud-native tools. - Apply statistical analysis and visualization techniques to derive insights from large datasets. - Conduct time series analysis using methods such as ANOVA and other statistical techniques. - Experiment with GenAI platforms, LLMs, and RAG techniques to enhance model capabilities. - Collaborate with cross-functional teams to integrate ML models into engineering workflows and tools. - Document methodologies and provide technical guidance to internal teams. Qualification Required: - Masters degree in Computer Science, Data Science, or a related field. - Strong programming skills in Python or C++. - Solid understanding of data structures, algorithms, and software design principles. - Strong analytical and problem-solving skills. - Hands-on experience with supervised and unsupervised learning techniques (e.g., classification, clustering, dimensionality reduction). - Experience with deep neural network architectures including RNNs, and Transformers. - Experience with ML frameworks such as scikit-learn, TensorFlow, or PyTorch. - Proficiency in data analysis using Pandas, NumPy, and Matplotlib. - Statistical Analysis & Visualization - Feature Engineering & Model Evaluation - Understanding of GPU, CUDA & High performance Computing Frameworks & Methods. Preferred Qualifications: - PHD in Computer Science, Data Science, or a related field. - Experience in large Model Development & Training from the Scratch. - Familiarity with time series analysis methods including ANOVA, ARIMA, and seasonal decomposition. - Familiarity with SQL databases, ETL frameworks, and cloud platforms (e.g., AWS). - Knowledge of LLM integration frameworks (e.g., LangChain). - Hands-on experience with distributed computing and cloud-scale data processing. - Software Design & Architecture Qualcomm India Private Limited is focused on applying state-of-the-art AI and ML technologies to enhance engineering efficiency through intelligent automation, data-driven insights, and innovative tool development. If you are a passionate and technically strong engineer looking to drive innovation in chip design, qualification, and debug engineering, this is the perfect opportunity for you.,
