Summer 2026 Internship - AI/ML Training Pipeline Engineer Internship

We Are:

Drive technology innovations that shape the way we live and connect. Our technology drives the Era of Pervasive Intelligence, where smart tech and AI are seamlessly woven into daily life. From self-driving cars and health-monitoring smartwatches to renewable energy systems that efficiently distribute clean power, Synopsys creates high-performance silicon chips that help build a healthier, safer, and more sustainable world.

Internship Experience:

At Synopsys, interns dive into real-world projects, gaining hands-on experience while collaborating with our passionate teams worldwide—and having fun in the process! You'll have the freedom to share your ideas, unleash your creativity, and explore your interests. This is your opportunity to bring your solutions to life and work with cutting-edge technology that shapes not only the future of innovation but also your own career path. Join us and start shaping your future today!

Mission Statement:

Our mission is to fuel today's innovations and spark tomorrow's creativity. Together, we embrace a growth mindset, empower one another, and collaborate to achieve our shared goals. Every day, we live by our values of Integrity, Excellence, Leadership, and Passion, fostering an inclusive culture where everyone can thrive—both at work and beyond. What You'll Be Doing

• Design and implement training pipelines to collect, clean, and preprocess data from EDA tool logs, scripts, and documentation, building fine-tuning workflows using frameworks like Hugging Face Transformers and PyTorch
• Fine-tune foundation models (e.g., LLaMA, Mistral, CodeLLaMA) on curated EDA datasets and experiment with advanced techniques like LoRA, QLoRA, RLHF, and DPO for efficient model adaptation
• Develop evaluation harnesses to measure model performance on domain-specific tasks and implement data augmentation and synthetic data generation strategies
• Build automation infrastructure including scripts for data collection, annotation tools for subject matter experts, and testing frameworks to validate model outputs
• Optimize training workflows for compute efficiency using multi-GPU and distributed training approaches, while tracking experiments using MLflow, Weights & Biases, or similar tools What You'll Need
• Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, Electrical Engineering, or a related field
• Strong proficiency in Python programming and hands-on experience with ML frameworks such as PyTorch or TensorFlow
• Understanding of transformer architectures, attention mechanisms, tokenization, and LLM fundamentals
• Familiarity with data processing tools including pandas, JSON/JSONL, and text preprocessing techniques
• Strong problem-solving and debugging abilities , self-motivation to work independently, excellent communication skills, and curiosity about how AI can transform specialized engineering domains

Key Program Facts Program Length:

June to

August Location:

Sunnyvale, USA Working Model:

In-person Full-Time/Part-Time:

Full-Time Start Date:

ASAP Equal Opportunity Statement Synopsys is committed to creating an inclusive workplace and is an equal opportunity employer. We welcome all qualified applicants to apply, regardless of age, color, family or medical leave, gender identity or expression, marital status, disability, race and ethnicity, religion, sexual orientation, or any other characteristic protected by local laws. If you need assistance or a reasonable accommodation during the application process, please reach out to us.