Description Invent the future with us. Ampere is a semiconductor design company for a new era, leading the future of computing with an innovative approach to CPU design focused on high-performance, energy efficient AI compute. As a pioneer in the new frontier of energy efficient high-performance computing, Ampere is part of the Softbank Group of companies driving sustainable computing for AI, Cloud, and edge applications. Join us at Ampere and work alongside a passionate and growing team - we'd love to have you apply! What the Team wants you to know: The Ampere Internship program focuses on you to build your networks, support your efforts in making an impact, and gives you exposure to what Ampere does and how Ampere operates across the company. We want you to leave with the feeling that what you've worked on made a difference, a new level of confidence in what you're capable of, technical expertise, and a new network of contacts. About the role: As an Intern in this role, you will design and implement core backend services and data pipelines that integrate seamlessly with various enterprise systems, including large language models (LLMs) and generative AI services. Your work will be critical in building scalable, high-performance AI agents that drive intelligent use-cases. Internship period is full-time for the Summer (May/June - August/September). What you'll achieve: • Learn about Cloud Computing and the first Cloud Native processors in the world. • Understand the fundamentals of performance analysis and benchmarking. • Become familiar with the running and use of performance profiling tools with the goal of improving the performance of key applications. • Design, develop, and maintain robust backend services and pipelines to support AI agent functionality. • Optimize system performance to ensure low latency and high throughput using AI-driven workflows. About you: • Strong programming skills building backend API services using Python and/or Java • Experience in Machine Learning with a particular emphasis on Large Language Models (LLMs), Retrieval Augmented Generation (RAG) and Generative AI. • Proven experience in building complex agentic systems using LLMs with a background in software architecture design and development. • Familiarity with large language models (LLMs), generative AI frameworks, and related APIs. • Familiarity with the Linux environment and bash scripting. • Knowledge of cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes) is a plus. Education: • Currently pursuing a Bachelor's degree in Computer Science or a related field; however, candidates pursuing a Master's degree will also be considered What we'll offer: At Ampere we believe in taking care of our Interns and providing a competitive total rewards package that includes an hourly rate and comprehensive benefits. The pay range for this role is between $41 and $45, per hour except in the San Francisco Bay Area where the range is between $46 and $53, per hour. Benefit highlights include: • Premium medical insurance, dental insurance, vision insurance. • Mentorship and on-the-job training from industry experts. • A comfortable and ergo friendly desk set-up, designed to optimize your posture and enhance your work experience. • Vibrant game rooms to unwind and bond with colleagues. • A variety of healthy snacks, energizing espresso, and refreshing drinks to keep you fueled and focused throughout the day. And there is much more than compensation and benefits. At Ampere, we foster an inclusive culture that empowers our interns to do more and grow more. We are excited to share more about our internship opportunities with you through the interview process. Internships are open to all eligible students regardless of age including veterans who returned to school. Ampere is an inclusive and equal opportunity employer and welcomes applicants from all backgrounds. All qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, religion, age, veteran and/or military status, sex, sexual orientation, gender, gender identity, gender expression, physical or mental disability, or any other basis protected by federal, state or local law.