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.
