Etched · 5 months ago
Core Software Engineering
San Jose
Full-time
Onsite
Mid Level
$150K/yr - $275K/yrEtched is building AI chips that are hard-coded for individual model architectures. They are seeking talented software engineers to help build the software, systems, and infrastructure necessary for developing specialized ASICs efficiently.
AI InfrastructureArtificial Intelligence (AI)ComputerHardwareSemiconductor
Responsibilities
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. This includes building software that drives hybrid superclusters, with an extremely high compute-to-engineer ratio – your work will orchestrate thousands of machines to simulate, verify, and build chips continuously, with performance and correctness guaranteed
Engineer World-Class Continuous Integration for Hardware: Invent and implement fault-tolerant, high-throughput CI pipelines for our entire backend – simulation, synthesis, CDC, and more. You’ll help build systems that surface correctness and performance regressions across nightly flows, and make high-assurance silicon development as continuous and automated as software deployment
Scale Bare-Metal Superclusters and Hybrid Infrastructure: Work hands-on with on-prem systems to design compute infrastructure purpose-built for AI chip development. You’ll be orchestrating physical clusters across racks and clouds, thinking deeply about CPU/memory topology, EDA workloads, and how to saturate every core, all the time
Design High-Quality Tools That Engineers Love Using: EDA workflows are stuck in the early 2000s – non-reproducible, slow, and hard to use. You’ll build from first principles: new interfaces, new dev workflows, and new execution engines that treat compute as cheap and time as sacred. Your tools will turn hours into minutes for the rest of our team
Tools for Everything: Build a fully automated, correctness-first CI system that continuously runs performance regressions, CDC checks, simulations, and synthesis flows. Make chip verification as fast and seamless as shipping web code
Massively Parallel Workload Scheduler: Design and deploy a dynamic scheduler for orchestrating compute-heavy workloads across thousands of on-prem and cloud cores. It should balance throughput, reliability, and fault tolerance while abstracting the underlying hardware complexity from users
On-Demand, GPU-Backed Dev Environments: Create infrastructure that launches reproducible, zero-downtime interactive environments – backed by GPU nodes and hardened against flaky hardware. Developers should be able to spin up environments instantly, run massive workloads, and never worry about cluster volatility
Scale-Aware Workload Migration: Prototype systems that intelligently migrate CI and simulation workloads across heterogeneous infrastructure, optimizing for performance and minimizing downtime—especially under variable hardware availability and cost constraints
High-Fidelity Fault Simulation: Develop fault injection and synthetic testing frameworks that simulate hardware failures, degraded networking, and extreme load conditions – validating that our pipelines remain reliable under real-world stress
Qualification
Required
Strong Systems Programming Skills: You're fluent in languages like Go, Rust, or C++ and have familiarity with scripting as well
Embrace Deep Technical Challenges: You're not afraid to dive into kernel internals, debug tricky hardware-software interactions, or design low-latency pipelines from first principles
Are Obsessed With Developer Productivity: You want to build tools that help great engineers move faster and with greater confidence
Treat Infrastructure as Code: You believe great infrastructure is software – clean, testable, versioned, and designed for maintainability
Preferred
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
Benefits
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)
Company
Etched
Building the hardware for superintelligence
Founded in 2022
51-200 employees
H1B Sponsorship
Etched has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (9)
2024 (11)
2023 (1)
Funding
Current Stage
Growth StageTotal Funding
$125.36MKey Investors
Primary Venture Partners
2024-06-25Series A· $120M
2023-05-16Seed· $5.36M
Leadership Team
Chris Zhu
Co-Founder
Robert Wachen
Co-Founder and President
Recent News
Soma Capital
2026-01-07
Google Patent
2025-04-02
Google Patent
2024-12-04
Company data provided by crunchbase