Synopsys

Introduction:

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:

• Neural Network and Deep Learning Development: Design and implement neural network architectures tailored for LLMs, ensuring scalability and efficiency.
• Data Analytics: Utilize data analytics tools, particularly Pandas, to preprocess and analyze large datasets for model training and evaluation.
• LangChain and LlamaIndex Integration: Develop and integrate applications using LangChain and LlamaIndex to enhance LLM functionalities.
• Embedding Models: Research, develop, and apply embedding models to improve semantic understanding and contextual relevance in AI applications.
• Model Deployment: Deploy both open-source and closed-source models, including those from platforms like Hugging Face, OpenAI, and Claude, ensuring seamless integration and performance optimization.
• PyTorch and GPU Optimization: Leverage PyTorch for model development and optimize GPU usage to accelerate training and inference processes.

What You’ll Need:

• Currently pursuing a bachelor’s degree in Computer Science, Electrical Engineering, or a related field in the penultimate year of study.
• Strong understanding of machine learning principles and deep learning techniques, including neural network architectures and training methodologies.
• Proficiency in NLP concepts and techniques, enabling the development and optimization of language models.
• Advanced programming skills in languages such as Python, with experience in frameworks like TensorFlow, PyTorch, and scikit-learn.
• Expertise in data manipulation and analysis using tools like Pandas, facilitating effective preprocessing and interpretation of large datasets.
• Experience with tools such as LangChain and LlamaIndex, essential for building and managing LLM applications.
• Knowledge of embedding techniques to enhance semantic understanding and contextual relevance in AI applications.
• Proficiency in deploying both open-source and proprietary models from platforms like Hugging Face, OpenAI, and Claude, ensuring seamless integration and performance optimization.
• Proficiency in designing and structuring prompts to guide generative AI models effectively, ensuring high-quality and relevant outputs.
• Familiarity with software engineering principles, including version control systems, agile methodologies, and continuous integration/continuous deployment (CI/CD) pipelines.

Key Program Facts:

• Program Length: 12 weeks
• Location: Sunnyvale, CA or Austin, TX
• Working Model: In-office
• Full-Time/Part-Time: Full-time
• Start Date: May / June 2025

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.

Inclusion and Diversity are important to us. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, 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 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.