Applied AI Intern (Non-Silicon)
Astera Labs Early Career - North America 2027
- Location
- San Jose, CA · San Jose
- Posted
- 2026-08-27
- Source
- greenhouse
Application opens on the employer’s career site. This page is a listing record, not the employer.
Astera Labs Early Career - North America 2027
Application opens on the employer’s career site. This page is a listing record, not the employer.
<p>&nbsp;</p>
<h1 class="wnfdnti _1ibi0s33y _1ibi0s34u" data-pm-slice="1 1 []">Applied AI Intern&nbsp;</h1>
<p class="wnfdntu _1ibi0s3f5 _1ibi0s3ce _1ibi0s3ea"><strong>Team:</strong> Applied AI — Non-Silicon<br><strong>Location:</strong> San Jose, California<br><strong>Employment type:</strong> Internship</p>
<h2 class="wnfdnti _1ibi0s33y _1ibi0s34u">About the role</h2>
<p class="wnfdntu _1ibi0s3f5 _1ibi0s3ce _1ibi0s3ea">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.</p>
<p class="wnfdntu _1ibi0s3f5 _1ibi0s3ce _1ibi0s3ea">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.</p>
<h2 class="wnfdnti _1ibi0s33y _1ibi0s34u">What you’ll do</h2>
<ul class="wnfdntf">
<li class="wnfdnte _1ibi0s33w">
<p class="wnfdntu _1ibi0s3f5 _1ibi0s3ce _1ibi0s3ea">Understand a problem, clarify requirements, define success criteria, and translate them into an actionable project plan.</p>
</li>
<li class="wnfdnte _1ibi0s33w">
<p class="wnfdntu _1ibi0s3f5 _1ibi0s3ce _1ibi0s3ea">Design and prototype machine learning, generative AI, or agentic solutions for non-silicon use cases.</p>
</li>
<li class="wnfdnte _1ibi0s33w">
<p class="wnfdntu _1ibi0s3f5 _1ibi0s3ce _1ibi0s3ea">Build, test, deploy, debug, and validate a project end to end, including end-user testing.</p>
</li>
<li class="wnfdnte _1ibi0s33w">
<p class="wnfdntu _1ibi0s3f5 _1ibi0s3ce _1ibi0s3ea">Move solutions through scoping, prototyping, user feedback, maintenance, and governance.</p>
</li>
<li class="wnfdnte _1ibi0s33w">
<p class="wnfdntu _1ibi0s3f5 _1ibi0s3ce _1ibi0s3ea">Use metrics and stakeholder feedback to evaluate impact, improve quality, and identify next steps.</p>
</li>
<li class="wnfdnte _1ibi0s33w">
<p class="wnfdntu _1ibi0s3f5 _1ibi0s3ce _1ibi0s3ea">Communicate progress, risks, tradeoffs, and decisions clearly to technical and non-technical partners.</p>
</li>
<li class="wnfdnte _1ibi0s33w">
<p class="wnfdntu _1ibi0s3f5 _1ibi0s3ce _1ibi0s3ea">Drive your work independently while seeking feedback early and collaborating effectively across the Applied AI team.</p>
</li>
<li class="wnfdnte _1ibi0s33w">
<p class="wnfdntu _1ibi0s3f5 _1ibi0s3ce _1ibi0s3ea">Document project outcomes, future use cases, and recommendations for continued development.</p>
</li>
</ul>
<h2 class="wnfdnti _1ibi0s33y _1ibi0s34u">What you bring</h2>
<ul class="wnfdntf">
<li class="wnfdnte _1ibi0s33w">
<p class="wnfdntu _1ibi0s3f5 _1ibi0s3ce _1ibi0s3ea">Hands-on experience through coursework, research, personal projects, or prior work involving programming, machine learning, generative AI, or software systems.</p>
</li>
<li class="wnfdnte _1ibi0s33w">
<p class="wnfdntu _1ibi0s3f5 _1ibi0s3ce _1ibi0s3ea">Interest in applying AI to real operational or business problems—not only building models in isolation.</p>
</li>
<li class="wnfdnte _1ibi0s33w">
<p class="wnfdntu _1ibi0s3f5 _1ibi0s3ce _1ibi0s3ea">Exposure to system design, agent design, software development, testing, deployment, or debugging.</p>
</li>
<li class="wnfdnte _1ibi0s33w">
<p class="wnfdntu _1ibi0s3f5 _1ibi0s3ce _1ibi0s3ea">Ability to learn quickly, work through ambiguity, and turn feedback into concrete improvements.</p>
</li>
<li class="wnfdnte _1ibi0s33w">
<p class="wnfdntu _1ibi0s3f5 _1ibi0s3ce _1ibi0s3ea">Strong ownership, organization, and follow-through, with the ability to set and meet milestones.</p>
</li>
<li class="wnfdnte _1ibi0s33w">
<p class="wnfdntu _1ibi0s3f5 _1ibi0s3ce _1ibi0s3ea">Clear written and verbal communication and a collaborative approach to working with stakeholders.</p>
</li>
</ul>
<h2 class="wnfdnti _1ibi0s33y _1ibi0s34u">What success looks like</h2>
<p class="wnfdntu _1ibi0s3f5 _1ibi0s3ce _1ibi0s3ea">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.</p>
<h2 class="wnfdnti _1ibi0s33y _1ibi0s34u">Internship experience and compensation</h2>
<p class="wnfdntu _1ibi0s3f5 _1ibi0s3ce _1ibi0s3ea">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.</p>
<p>&nbsp;</p>
Listing collected from the employer’s public career site on 2026-10-23. Postings close without notice — the application page is authoritative.