ML Software Engineer Intern - AI/CAD Integration

We are seeking an intern who thrives in a fast-paced environment, is eager to tackle complex technical challenges, and is motivated to turn AI research into practical engineering solutions. If you have a strong foundation in machine learning, software development, and a desire to apply these skills to advance semiconductor innovation, we invite you to join us.

At Falcomm, your creativity and technical expertise will help shape energy-efficient technologies that set new industry standards.

- Design and implement code for training/serving ML models in chip design workflows - Automate creation of large datasets for training models - Integrate ML models into existing chip design software infrastructure - Write comprehensive tests and documentation - Collaborate with engineers to understand model requirements and deployment needs - Participate in code reviews and follow software engineering best practices - Research and evaluate new technologies for ML model serving and deployment

- Currently pursuing a degree in Computer Science, Electrical Engineering, or related field - Availability to work at least part-time starting in Fall 2026 - Strong Python programming skills with experience in scripting and automation - Understanding of software engineering principles and code organization - Experience with data processing libraries (pandas, numpy, scipy) - Familiarity with machine learning frameworks (PyTorch, TensorFlow, scikit-learn) - Basic understanding of file I/O, data parsing, and format conversion - Experience with version control systems (Git) and collaborative development

- Exposure to CAD tools or EDA software (Cadence, Synopsys, Mentor Graphics, etc.) - Knowledge of chip design file formats (GDSII, LEF/DEF, Verilog, SPICE) - Experience with shell scripting (bash) and command-line tools - Understanding of semiconductor design concepts - Familiarity with Linux environments - Experience with workflow automation and batch processing systems - Knowledge of data visualization tools (matplotlib, plotly) for design analysis - Understanding of software testing frameworks and debugging techniques