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
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)”
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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 Sohu pushes the boundaries of what’s possible in AI model performance. But Sohu is just our first product - we are looking for talented software engineers to help us build the software, systems, and infrastructure that let us build specialized ASICs faster than any other company on Earth.
This is a broad role. We are looking for hungry, talented software engineers who can contribute to many parts of the systems that make Etched run. You’ll lead the charge in designing and scaling the distributed systems that power our development and deployment pipelines. This is an opportunity to invent high-performance systems that orchestrate fleets of machines across hybrid superclusters, simulate trillions of operations, and move code from idea to silicon faster than ever before.
While this role will work closely with infrastructure (part of the job will be setting up physical supercomputing systems), candidates for this position do not necessarily need infrastructure engineering experience. If you’re obsessed with building robust software for developers to use, designing systems that harness massive compute, and solving problems most companies never encounter, we’d love to talk.
What You’ll Do
Representative projects
You may be a good fit if you
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Benefits
Base Compensation Range
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.