AI/ML Intern in Design Automation

Job Details

Job Description:

We are seeking a motivated intern with strong familiarity in Artificial Intelligence (AI) and Machine Learning (ML) technologies. This internship offers a unique opportunity to bridge cutting-edge AI/ML methods with semiconductor design automation.

As Part Of Our Design Automation Team, You Will

• Learn the fundamentals of chip design environments.
• Collaborate with engineers and Design Automation developers to understand real-world design workflows.
• Apply and develop AI/ML solutions that enhance productivity and efficiency for chip designers in their day-to-day work.
  
  

Responsibilities

• Explore and prototype AI/ML applications in chip design automation.
• Work closely with team members to identify opportunities for automation and optimization.
• Contribute to building tools and models that improve design productivity.
• Document findings and present results to the team.
  
  

What You’ll Gain

• Hands-on exposure to chip design fundamentals.
• Practical experience applying AI/ML in a high-impact engineering domain.
• Mentorship from experienced engineers and developers.
• A chance to contribute to innovations that shape the future of semiconductor design.
  
  

Salary Range

The pay range below is for Bay Area California only. Actual salary may vary based on a number of factors including job location, job-related knowledge, skills, experiences, trainings, etc. We also offer incentive opportunities that reward employees based on individual and company performance.

$95,900 - $101,915 USD

We use artificial intelligence to screen, assess, or select applicants for the position. Applicants must be eligible for any required U.S. export authorizations.

Qualifications

Current student pursuing a Bachelor's degree in Computer Science, Electrical Engineering, or a related field (must be student throughout duration of internship) with 3 + months of experience in the following:

• Strong coursework or hands-on experience in AI/ML (e.g., LLM inferences, RAG, training models with supervised learning, reinforcement learning).
• Familiarity with Python and ML frameworks (PyTorch, scikit-learn, TensorFlow, so on).
• Interest in semiconductor design or EDA (Electronic Design Automation) is a plus. Front-End design (RTL and Design Verifica
• Strong problem-solving skills and ability to work collaboratively.
• tion), or, Back-End Place-and-Route tools are plus.
  
  

Job Type

Student / Intern (Fixed Term)

Shift

Shift 1 (United States of America)

Primary Location:

San Jose, California, United States

Additional Locations:

Posting Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.