Etched is building AI chips that are hard-coded for individual model architectures. Our first product (Sohu) only supports transformers but delivers 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.
Etched is scaling faster than any other company in the AI hardware space. To match that pace, our internal operations and decision-making systems need to be as innovative as our chips. We’re looking for a Business Automation Engineer to design and build the automation infrastructure that unifies our business intelligence, streamlines cross-functional workflows, and powers data-driven decision-making across GTM, talent, legal, and production operations.
This is a hands-on, full-stack engineering role with a business lens. You’ll scope problems directly with stakeholders, architect and ship automation systems end-to-end, and own adoption so your work has immediate impact.
Build Full-Stack Automation Systems: Design, develop, and deploy robust internal applications and integrations across front-end, back-end, and data pipelines to eliminate manual workflows.
Unify Business Intelligence: Create a single source of truth by integrating metrics from GTM, production, talent, and legal ops into role-specific dashboards with ≤2-click access.
Automate Cross-Functional Workflows: Implement alerting and reporting systems for recruiter pipelines, offer risks, GTM performance, contract tracking, and production forecasting.
Integrate Disparate Systems: Connect tools and data sources (Slack, CRM, HRIS, manufacturing tools, etc.) via APIs and middleware to ensure seamless information flow and real-time visibility.
Deliver Under Pressure: Prioritize aggressively and ship complete, stable systems on fast timelines without sacrificing maintainability.
Talent Ops Automation: Automate candidate pipeline analytics, recruiter performance dashboards, and offer-stage risk alerts.
Unified BI Platform: Build a single integrated suite pulling KPIs from GTM, production, talent, and legal ops with custom dashboards for leadership, managers, and ICs.
Automated GTM & RevOps Reporting: Implement a weekly auto-generated GTM report showing deal activity, trends, and flagged risks/opportunities.
Legal Ops Workflow Automation: Create automated contract tracking and compliance reminders with Slack/email integration.
Production Forecasting Engine: Develop a live production forecast pulling from manufacturing and DV/PD tools and generate variance reports comparing forecast vs. actual delivery.
Unified Performance Management System: Consolidate metrics from all automated workflows into a single layer showing both individual and team-level performance.
Have strong full-stack development skills and experience shipping end-to-end business applications with clean, maintainable code.
Are comfortable integrating disparate systems and designing resilient, low-maintenance automations that scale with growth.
Think like a business operator: you understand how GTM, production, talent, and legal workflows intersect with company strategy and scope projects for maximum leverage.
Thrive under pressure and can deliver high-impact systems quickly without sacrificing quality.
Operate with high EQ and low ego: you partner effectively across functions, incorporate feedback, and elevate others’ workflows.
Bring intensity and persistence: you treat blockers as puzzles to solve and dive deep into any system or dataset to find leverage.
$150,000 – $225,000
Full medical, dental, and vision packages with generous premium coverage
Housing subsidy of $2,000/month for those living within walking distance of the office
Daily lunch and dinner in our office
Relocation support for those moving to San Jose (Santana Row)
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 expect all of our technical staff to contribute broadly across functions.
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by burning the transformer architecture into our chips, we’re creating the world’s most powerful servers for transformer inference.
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