Are you passionate about applying machine learning to transform the future of semiconductor design? At Falcomm, we are on a mission to revolutionize semiconductor technologies by integrating AI-driven solutions into the design and development of our energy-efficient power amplifier products. As a ML Software Engineer Intern in AI/CAD Integration, you will collaborate with our team of experts to develop and deploy AI/ML models that enhance CAD workflows, automate design processes, and accelerate innovation in RFIC design. This role offers a unique opportunity to work at the intersection of software engineering, machine learning, and semiconductor design, contributing directly to tools and methodologies that drive next-generation hardware solutions.

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.

Responsibilities

• 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

Requirements

• 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

Preferred Skills

• 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

Benefits

• Competitive Salary
• Sick Leave

DISCLOSURE

• Falcomm is an Equal Opportunity Employer; employment with Falcomm is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
• Applicants wishing to view a copy of Falcomm’s Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should notify Falcomm.
• To conform to U.S. Government export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.