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
Our supercomputing role focuses on the design, development, and deployment of ML system software required for operating rack-scale systems. Your work will span network performance, telemetry creation and processing pipelines, and analysis of system-level health and performance. Supercomputing is also responsible for the deployment and provisioning of software frameworks and hardware validation, maintaining secure and performant systems for data center scale ML workloads.
You may be a good fit if you have
Progress towards a Bachelor’s, Master’s, or PhD degree in Computer Science, Engineering, or a related technical field.
Proficiency in C/C++ or Rust
Proficiency in Python
Strong fundamentals in data structures and algorithms
Strong understanding of low-level software engineering
Strong understanding of hardware/software co-design
Excellent communication and collaboration skills
Strong candidates may also have (Nice to have qualifications)
Experience with Linux internals, kernel development, or driver debugging
Experience with hardware diagnostics or interpreting hardware logs
Exposure to server virtualization or CI/CD pipelines
Experience with Rust or embedded development
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 [email protected]
How we’re different
Etched believes in the Bitter Lesson. We think most of the progress in the AI field has come from using more FLOPs to train and run models, and the best way to get more FLOPs is to build model-specific hardware. Larger and larger training runs encourage companies to consolidate around fewer model architectures, which creates a market for single-model ASICs.
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 as needed.
Skills Required
- Progress towards a Bachelor's, Master's, or PhD in Computer Science, Engineering, or a related technical field.
- Proficiency in C/C++ or Rust
- Proficiency in Python
- Strong fundamentals in data structures and algorithms
- Strong understanding of low-level software engineering
- Strong understanding of hardware/software co-design
- Excellent communication and collaboration skills
Etched Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Etched and has not been reviewed or approved by Etched.
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Equity Value & Accessibility — Equity growth is described as strong and significant equity is part of the package. High total compensation for technical roles reinforces the equity-led upside.
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Healthcare Strength — Medical, dental, and vision coverage include generous premium support, indicating robust core healthcare. This reduces employee cost exposure for essential coverage.
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Wellbeing & Lifestyle Benefits — Daily lunch and dinner, a housing subsidy for those living near the office, relocation support, and wellness perks are highlighted. These offerings lower day-to-day living costs and support practical wellbeing.
Etched Insights
What We Do
By burning the transformer architecture into our chips, we’re creating the world’s most powerful servers for transformer inference.
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