Applied AI Engineer Intern (Silicon Engineering)
- Compensation
- Not disclosed
- Location
- San Jose, CA
- Work setup
- Not specified
- Seniority
- Intern
- Employment
- Internship
- Experience
- Not specified
- Category
- Ai engineering
- Posted
Skills
Nice to have
- Experience with large language models, generative AI, agentic systems, retrieval-augmented generation, or vector databases.
- Familiarity with ASIC, VLSI, CAD, chip design, or hardware engineering concepts.
- Experience with version control, testing, continuous integration/continuous delivery, or cloud and compute environments.
- Interest in applying AI to complex engineering and silicon-design problems.
- Strong written and verbal communication skills.
Full description
Applied AI Intern (Eng - Silicon)
Team: Applied AI — Silicon / ASIC
About the role
Astera Labs is looking for an Applied AI Intern to develop AI-powered solutions for silicon and ASIC engineering workflows. You will work at the intersection of machine learning, software engineering, and hardware design to improve the efficiency, productivity, and quality of engineering processes.
This is a hands-on role for someone who enjoys applying modern AI techniques to complex engineering problems and taking ideas from prototyping through testing, deployment, evaluation, and iteration. You will collaborate with Applied AI, silicon engineering, software, and hardware teams to create useful tools for engineers.
What you’ll do
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Build prototypes and applications using Python, large language models, and agentic AI frameworks.
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Develop AI assistants and retrieval-based systems for silicon engineering workflows.
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Integrate AI solutions with ASIC design, CAD, and engineering data flows.
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Create dashboards, databases, and tools that help engineers find and act on relevant design information.
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Explore multi-agent systems, retrieval-augmented generation pipelines, vector databases, and other applied AI technologies.
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Support testing, deployment, debugging, and evaluation of AI-powered engineering tools.
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Collaborate with Applied AI, silicon engineering, software, and hardware teams.
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Document project results, communicate tradeoffs, and present measurable outcomes.
What you bring
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Currently pursuing a degree in Computer Science, Electrical Engineering, Computer Engineering, or a related field.
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Coursework, research, or project experience in machine learning, deep learning, software development, or computer systems.
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Proficiency in Python and familiarity with data structures, algorithms, and software engineering principles.
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Strong analytical and problem-solving skills.
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Ability to learn new technical concepts quickly and work effectively in a collaborative environment.
Preferred qualifications
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Experience with large language models, generative AI, agentic systems, retrieval-augmented generation, or vector databases.