PD Intern
Etched - San Jose, CA, United States
Posted May 19, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
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- Salary
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- 401(k) match
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
PD Intern San Jose, CA, United States About Etched Etched is building the world's first AI inference system purpose-built for transformers - delivering over 10x higher performance and dramatically lower cost and latency than a B200. With Etched ASICs, you can build products that would be impossible with GPUs, like real-time video generation models and extremely deep & parallel chain-of-thought reasoning agents. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history. Job Summary As a Physical Design intern for Etched, you will be responsible for realizing our front-end designs in silicon, helping Etched to improve iteration speed to final signoff. You will assist in developing and running Physical Design flows to synthesize blocks, automate final design checks, and advise RTL design decisions. We are looking for Fall '26, Spring '27, and Summer '27 interns. You may be a good fit if you have - Progress towards a Bachelor's, Master's, or PhD degree in electrical engineering, computer engineering, or a related field. - Familiarity with high-speed digital logic - Exposure to ASIC or SoC design concepts - Familiarity with SystemVerilog, UVM, or Python - Familiarity with verification work and writing test benches - Familiarity with physical design flows and tooling - Are able to learn quickly about transformers and other aspects of modern artificial intelligence Strong candidates may also have experience with - Familiarity with transformer models and machine learning - Familiarity with numerical
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