Synopsys Inc is a leader in technology innovations that shape the way we live and connect, focusing on creating high-performance silicon chips. They are seeking an intern for the Summer 2026 Internship - AI/ML Training Pipeline Engineer Internship, where the intern will design and implement training pipelines, fine-tune foundation models, and optimize training workflows using advanced machine learning techniques.
Responsibilities
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
Qualification
Required
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
Preferred
Benefits
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.
Synopsys is the leader in engineering solutions from silicon to systems, enabling customers to rapidly innovate AI-powered products.
