
By burning the transformer architecture into our chips, we’re creating the world’s most powerful servers for transformer inference.

By burning the transformer architecture into our chips, we’re creating the world’s most powerful servers for transformer inference.
What they do: Designs AI chips (Sohu) optimized for transformer-model inference
Stage / funding: Series A (announced Jun 25, 2024), reported ~$120M round; total funding reported $625.4M
Founded: Around 2022
Team size: Approximately 317 employees
| Company |
|---|
AI inference performance and efficiency for transformer models
2022
Computer Hardware Manufacturing
$120,000,000
Round reported to include multiple institutional and angel participants
“Includes institutional VCs and prominent angel/backer participation (e.g., Two Sigma Ventures, Peter Thiel, Thomas Dohmke)”
About Etched Etched is building AI chips that are hard-coded for individual model architectures. Our first product (Sohu) only supports transformers, but has an order of magnitude more throughput and lower 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.
Job Summary As Etched scales from R&D into global manufacturing and deployment, the complexity of our financial and operational systems is increasing rapidly. We are hiring a hands-on engineer to own and evolve the technical backbone of our financial systems . Starting with ERP and expanding into data infrastructure that connects finance with manufacturing, logistics, and operations, this is a critical role that will enable Etched to scale.
You will be the primary technical owner of our ERP and financial data flows, responsible for architecture, implementation, and long-term scalability. In the short term, this role is heavily ERP-focused; over time, it expands into broader data engineering and infrastructure ownership.
This is not a consulting or governance role. You will own these systems end to end—designing them, building them, and ensuring scalability.
Key Responsibilities Own Core Financial Systems
Build Financial Data Infrastructure
Integrate Finance with Hardware Operations
Execute End-to-End
You may be a good fit if you have
Benefits
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.