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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.
Hands-on experience with emulation platforms such as Palladium, Protium, Veloce, ZeBu, or HAPS, covering design bring-up, build flows, debugging, and performance tuning.
Strong C/C++ and Linux system development skills. Proficiency with SystemVerilog and Verilog, including DPI-based interfaces.
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Experience with git-based development workflows and scripting (Python) for automation and flow development.
Experience with UVM verification environments.
Background in design verification, DFT, and testbench modeling.
Familiarity with waveform debug tools such as Verdi or SimVision.
Experience with SLURM or similar job schedulers for managing large emulation workloads.
Familiarity with CI/CD tooling (e.g., Jenkins, GitHub Actions) applied to hardware or pre-silicon validation flows.
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 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 as needed.
Private semiconductor startup building AI inference chips, racks, and software for frontier-model customers.
Visit company websiteJobs and hiring trendsUSD 150000-275000 yearly / year
Full-time
Mid
Onsite
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