Associate Engineer – CAD AI/ML

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: Position Overview We are looking for a motivated Associate Engineer – CAD AI/ML with a strong foundation in Computer Science and an interest in applying artificial intelligence and machine learning to semiconductor design automation and CAD engineering workflows. The successful candidate will work with CAD and design teams to develop automation, data-driven solutions, and intelligent tools that improve engineering productivity, tool efficiency, and design-flow quality. This is an entry-level position suitable for candidates with 0–1 year of experience. Key Responsibilities Develop scripts, utilities, and automation solutions for CAD and design workflows. Apply machine learning and data analytics techniques to CAD data, tool logs, reports, and engineering metrics. Assist in building models for:Tool runtime and resource prediction Failure classification and root-cause analysis Log analysis and anomaly detection Quality and performance trend analysis Flow optimization and productivity improvement Process and analyze large datasets generated by EDA tools and semiconductor design flows. Develop data-preprocessing pipelines for extracting meaningful information from logs and reports. Support the integration of AI/ML models into existing CAD automation frameworks and engineering tools. Collaborate with CAD, RTL, verification, synthesis, physical design, and methodology teams. Debug scripts, data pipelines, and model-related issues. Create dashboards, reports, and visualizations to communicate engineering insights. Conduct experiments, evaluate model performance, and document results. Follow software development best practices, including version control, testing, code reviews, and documentation. Stay current with developments in AI/ML, automation, and semiconductor design technologies. Required Qualifications Bachelor’s degree in Computer Science, Information Technology, Artificial Intelligence, Machine Learning, or a related field. 0–1 year of experience in software development, CAD automation, data analytics, or AI/ML. Strong programming skills in Python. Good understanding of:Data structures and algorithms Object-oriented programming Machine learning fundamentals Statistics and probability Data preprocessing and analysis Linux/Unix environments Database concepts and SQL Familiarity with Python libraries such as NumPy, Pandas, Scikit-learn, and Matplotlib or similar tools. Ability to read, analyze, and troubleshoot software logs and engineering reports. Strong analytical and problem-solving skills. Good written and verbal communication skills. Ability to work effectively in a multidisciplinary engineering environment. Preferred Qualifications Academic projects, internships, or coursework in AI/ML, data science, or automation. Familiarity with TensorFlow, PyTorch, Keras, or other ML frameworks. Knowledge of natural language processing, generative AI, large language models, or retrieval-augmented generation. Exposure to semiconductor design and verification concepts, including:RTL and SystemVerilog Synthesis and implementation flows Static analysis, formal verification, or simulation Design-for-test and low-power methodologies EDA tools and CAD flows Experience working with structured and unstructured engineering data. Familiarity with Git, REST APIs, CI/CD, Docker, or cloud-based development environments. Exposure to shell scripting, Perl, Tcl, or other automation languages. Understanding of software testing and automation methodologies. Minimum Qualifications: • Associate's degree in Computer Science, Electrical/Electronic Engineering, Engineering, or related field. 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