Etched-posted 5 months ago
$150,000 - $275,000/Yr
Full-time • Mid Level
San Jose, CA
11-50 employees

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. 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.

  • Build Reliable, High-Performance Systems for Engineering at Scale: Design the core frameworks and workflows that enable Etched’s engineers to iterate faster than anyone else in hardware.
  • Engineer World-Class Continuous Integration for Hardware: Invent and implement fault-tolerant, high-throughput CI pipelines for our entire backend.
  • Scale Bare-Metal Superclusters and Hybrid Infrastructure: Work hands-on with on-prem systems to design compute infrastructure purpose-built for AI chip development.
  • Design High-Quality Tools That Engineers Love Using: Build new interfaces, new dev workflows, and new execution engines that treat compute as cheap and time as sacred.
  • Strong Systems Programming Skills: Fluent in languages like Go, Rust, or C++ and familiarity with scripting.
  • Embrace Deep Technical Challenges: Willing to dive into kernel internals, debug tricky hardware-software interactions, or design low-latency pipelines from first principles.
  • Obsessed With Developer Productivity: Desire to build tools that help great engineers move faster and with greater confidence.
  • Treat Infrastructure as Code: Belief that great infrastructure is software – clean, testable, versioned, and designed for maintainability.
  • Designing and operating large-scale CI systems, build farms, or simulation clusters.
  • Architecting hybrid infrastructure across bare-metal and cloud providers.
  • Optimizing compute environments for performance-critical workloads, including memory-bound simulations and multi-node orchestration.
  • Working in environments where correctness, reproducibility, and performance are existential requirements.
  • 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)
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