Applied AI Intern (Non-Silicon)

Applied AI Intern Team: Applied AI — Non-Silicon Location: San Jose, California Employment type: Internship About the role Astera Labs is looking for an Applied AI Intern to help build practical AI capabilities outside the company’s ASIC and silicon-development workflows. You will work with the Applied AI team, task leads, and cross-functional stakeholders to turn ambiguous problems into useful prototypes and dependable solutions. This is a hands-on role for someone who enjoys moving from problem definition to implementation, testing, deployment, and iteration. You will have the opportunity to apply full-stack machine learning and generative AI programming, system design, and agent design to projects that improve efficiency and create measurable value for internal teams and stakeholders. What you’ll do • Understand a problem, clarify requirements, define success criteria, and translate them into an actionable project plan. • Design and prototype machine learning, generative AI, or agentic solutions for non-silicon use cases. • Build, test, deploy, debug, and validate a project end to end, including end-user testing. • Move solutions through scoping, prototyping, user feedback, maintenance, and governance. • Use metrics and stakeholder feedback to evaluate impact, improve quality, and identify next steps. • Communicate progress, risks, tradeoffs, and decisions clearly to technical and non-technical partners. • Drive your work independently while seeking feedback early and collaborating effectively across the Applied AI team. • Document project outcomes, future use cases, and recommendations for continued development. What you bring • Hands-on experience through coursework, research, personal projects, or prior work involving programming, machine learning, generative AI, or software systems. • Interest in applying AI to real operational or business problems—not only building models in isolation. • Exposure to system design, agent design, software development, testing, deployment, or debugging. • Ability to learn quickly, work through ambiguity, and turn feedback into concrete improvements. • Strong ownership, organization, and follow-through, with the ability to set and meet milestones. • Clear written and verbal communication and a collaborative approach to working with stakeholders. What success looks like By the end of the internship, you will have owned a meaningful project from scope through delivery, deployed a useful prototype or solution, demonstrated measurable outcomes, and clearly explained its impact and future path. You will contribute to a culture of building quickly, learning from feedback, and evangelizing practical AI adoption. Internship experience and compensation This is a paid, hourly U.S. internship. The applicable hourly rate is determined as part of the offer process and specified in the offer letter, depending on education level ranges form $35/hour to $55/hour. U.S. interns currently receive a $500-per-week housing/relocation stipend for the duration of the internship. Interns participate in Early Career programming, including technical and professional-development sessions, community events, and an end-of-program project presentation.