
IA Research Engineer (Kernels) Intern
Etched
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- Location
- San Jose, CA
- Work style
- On-site
- Job type
- Full time
- Posted
- Nov 4
- Today
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Career path
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About the company

Etched
Computer Hardware Manufacturing · 51 to 200 employees
Frontier Inference Clusters
What you'll do
- The intern will embed with the kernels team to build and deploy LLM agents that automate engineering workflows and tool-calling.
- They will also design evaluation frameworks and build execution environments to verify agent performance on real hardware.
What you need
- Candidates must be pursuing a degree in computer science, computer engineering, or a related field with strong software engineering fundamentals.
- Experience in building multi-step agents and high agency in technical domains is required.
- Education: a bachelor's degree or a postgraduate degree
Key skills
LLM agentsTool-callingMCPPythonSoftware engineeringGPU kernelsData pipelinesInfrastructureDevOpsFine-tuningRAGMulti-agent orchestrationCompilersProfilersHardware simulation
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Perks
- Paid internship
- Housing support
- Daily lunch
- Daily dinner
- Mentorship
See full description on company page, apply now
Read the full posting here
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 both prefill and decode workloads. Our first products are heavily focused on inference. 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
We are seeking talented Spring ‘27 and Summer ‘27 IA Research Engineer (Kernels) interns to build the agents that accelerate how Etched produces frontier tokens. You will embed with our kernels team and work alongside our founders on agentic harnesses, tools, and evals that let agents do long-running engineering work people actually rely on. This role is for builders who thrive on ambiguity, have real product sense, and want to own problems end to end.
Key responsibilities
Embed with our kernels team to find high-leverage bottlenecks and help turn them into tools engineers use every day.
Build and deploy LLM agents wired into our engineering workflows via tool-calling and MCP.
Help build execution environments where agents can verify their own work, with sandboxed access to simulators, compilers, profilers, and real hardware.
Ship internal products end to end, including the interfaces, data pipelines, and infrastructure behind them.
Design evals and track adoption to measure which tools are working and which aren’t.
Support special projects with the founders across the company.
You may be a good fit if you have
Progress towards a Bachelor’s, Master’s, or PhD degree in computer science, computer engineering, or a related field
Strong software engineering fundamentals and a record of shipping projects other people use
Built agents for multi-step tasks beyond calling an API: tool design, context management, evals, and failure analysis
Heavy use of coding agents, including reading their transcripts and changing the system when an agent is confidently wrong
High agency in unfamiliar domains, product sense, and extreme attention to detail
Strong candidates may have some experience with
Chip development, GPU kernels, hardware, or manufacturing
Infrastructure, data engineering, or DevOps
Fine-tuning, RAG over technical data, or multi-agent orchestration
Hackathons, startups, or side projects with real users
We encourage you to apply even if you do not believe you meet every qualification.
Program details
12-week paid internship
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. Our addressable market is the entirety of inference, unlike many of our competitors.
We are a fully in-person team in San Jose (Santana Row), 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.