AI/ML Training Pipeline Engineer Intern (Summer 2026)

Job Title

AI/ML Training Pipeline Engineer Intern (Summer 2026)

Role Summary

Summer internship working on end-to-end training infrastructure for AI/ML models applied to electronic design automation (EDA) data. You will work with engineering teams to build data pipelines, fine-tune foundation models, and automate evaluation and training workflows.

Experience Level

Entry-level internship. Intended for students currently pursuing or recently completed undergraduate or master's degrees, or candidates with equivalent early-career experience.

Responsibilities

Primary responsibilities focus on implementing and scaling training pipelines and evaluation tooling for domain-specific LLMs.

• Design and implement data collection, cleaning, and preprocessing pipelines for EDA logs, scripts, and documentation.
• Build fine-tuning workflows using frameworks such as Hugging Face Transformers and PyTorch.
• Fine-tune foundation models (e.g., LLaMA, Mistral, CodeLLaMA) and experiment with efficient adaptation techniques (LoRA, QLoRA, RLHF, DPO).
• Develop evaluation harnesses and metrics for domain-specific tasks; implement data augmentation and synthetic data strategies.
• Develop automation and annotation tools for subject-matter experts and testing frameworks to validate model outputs.
• Optimize training for compute efficiency using multi-GPU and distributed approaches; track experiments with MLflow, Weights & Biases, or similar tools.

Requirements

Must-have technical skills and attributes for successful performance in the internship.

• Strong proficiency in Python 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 and formats (pandas, JSON/JSONL, text preprocessing).
• Experience or familiarity with multi-GPU/distributed training and experiment tracking tools (MLflow, Weights & Biases).
• Strong problem-solving and debugging skills, ability to work independently, and effective communication.
• Nice-to-have: experience with LoRA/QLoRA, RLHF/DPO, synthetic data generation, annotation tooling, or experience adapting foundation models for domain tasks.

Education Requirements

Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, Electrical Engineering, or a related technical field.

About the Company

Company: Synopsys

Headquarters: Mountain View, California, USA

Synopsys is a leading company in electronic design automation (EDA) and semiconductor IP solutions. It provides tools and services for designing and verifying complex semiconductor devices and systems. The company plays a pivotal role in the semiconductor industry, helping engineers innovate and deliver higher-quality products faster. Synopsys is committed to advancing technology standards and offers a range of software and hardware solutions to its clients globally.