Associate Engineer – CAD AI/ML

In short

Qualcomm seeks a motivated Associate Engineer – CAD AI/ML to apply artificial intelligence and machine learning to semiconductor design automation. This entry-level role involves developing automation solutions and data-driven tools to enhance engineering productivity, requiring a Bachelor's degree in a related field and strong Python programming skills.

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 prediction, failure classification, log analysis, quality trend analysis, and flow optimization.
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.

Requirements

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.
Good understanding of object-oriented programming.
Good understanding of machine learning fundamentals.
Good understanding of statistics and probability.
Good understanding of data preprocessing and analysis.
Good understanding of Linux/Unix environments.
Good understanding of 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.

Desired 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.

#Computer Science#AI/ML#semiconductor design#CAD engineering#automation#Python#data-driven solutions#engineering productivity#tool efficiency#design-flow quality