Summer 2026 Internship - AI/ML Training Pipeline Engineer Internship

Descriptions & Requirements

Job Description and Requirements

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.

At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.

In addition to the base salary, this role may be eligible for an annual bonus, equity, and other discretionary bonuses. Synopsys offers comprehensive health, wellness, and financial benefits as part of a competitive total rewards package. The actual compensation offered will be based on a number of job-related factors, including location, skills, experience, and education. Your recruiter can share more specific details on the total rewards package upon request. The base salary range for this role is across the U.S.