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

Currently pursuing a degree in Computer Science, Electrical Engineering, or related field
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

Accrued Paid Time Off and Sick Leave
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.