Core Engineering Intern
Etched is hiring a Core Engineering Intern in San Jose, United States. Level rates it ; you can apply on Etched.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- Level classes it as an internship.
- Etched has 114 other open roles on Level.
AI in this role
About Etched
Etched is building hardware for frontier intelligence. We co-design chips, racks, software, and manufacturing to deliver best-in-class throughput and latency across prefill and decode. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, we're redefining the infrastructure layer for the fastest growing industry in history.
Job Summary
Core Engineering is our special projects team. This team identifies critical gaps across Etched and builds solutions 0 to 1, often in days, with immediate feedback loops. You might build internal tools to unblock a hardware team, prototype systems for manufacturing execution, or design, evaluate, and deploy agentic systems for our most challenging R&D problems.
This role is for engineers who thrive on ambiguity, move fast without sacrificing quality, and get energy from solving whatever problem matters most right now. It is a whiteboard for future founders – if you're interested in shipping 0-1 production-level code every week, this role is for you.
This role requires exceptional full-stack engineering capabilities, deep product sense, personal accountability, and a knack for building from the ground up. At Etched, we're developing our processes for scale, and we're looking for engineers to deploy to our toughest challenges. The problems we solve are time-sensitive and business-critical. This role will not be a 9-5, and the ideal candidate is excited about that. This is not a shadowing program. You will own a real project, scoped to land in production and shape how Etched executes.
You may be a good fit if you:
Have a track record of solving hard problems across stacks and domains — you enjoy being dropped into unfamiliar territory and figuring it out
Have something you built that you can walk us through in depth. Depth in one thing beats a list of ten
Are comfortable with Python and TypeScript: you can read it, modify it, debug it, and direct AI to write it well. We don't care whether you write code from scratch, but we do care whether you ship things that work
Have product sense and its necessary prerequisites, from AI tooling proficiency to design taste
Bias towards action and comfort with incomplete information
Strong candidates may also have:
Data engineering, infrastructure or DevOps experience, and deploying operational systems in enterprise environments
Experience wielding frontier models on frontier problems: an eval-driven mindset — you measure whether AI systems work, identify where they fall short, and know how to hillclimb
High agency and comfort with ambiguity — you find the real problem to solve
Prior startup experience, especially during hyper growth
We encourage you to apply even if you do not believe you meet every qualification
Program details
12-week paid internship (June - August 2026)
Generous housing support for those relocating
Daily lunch and dinner in our office
Based at our office in San Jose, CA
Direct mentorship from industry leaders and world-class engineers
Opportunity to work on one of the most important problems of our time
For any questions, contact internships@etched.com
How we're different
Etched believes in the Bitter Lesson. We are the first inference-focused frontier AI system, betting early on transformer and transformer-like architectures and on increasing model sizes. Our addressable market is the entirety of inference.
We are a fully in-person team in San Jose and Taipei, and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed.
How we rate this
Core Engineering Intern at Etched rates 12 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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