---
title: 'Build Engineer at Etched'
canonical: 'https://feeny.ai/job/build-engineer-etched-san-jose-dmb7by4dkav7'
type: 'job'
last_seen: '2026-11-02'
---

# Build Engineer at Etched

- **Company:** [Etched](https://feeny.ai/companies/etched)
- **Location:** San Jose, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-11-02
- **Last confirmed live:** 2026-11-02
- **Apply:** https://jobs.ashbyhq.com/etched/4020db7a-1ec0-48e3-9bbd-f1337c63a403

## Job description

## About Etched

Etched is building hardware for frontier intelligence. We co-design chips, racks, software, and manufacturing to deliver best-in-class throughput and latency across both prefill and decode workloads. Our first products are heavily focused on inference. 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 Etched is building a new category of AI hardware: frontier inference clusters. To bring them up at the pace this market demands, we build and integrate our own server racks in-house, and that work is growing fast as we move from early builds into NPI and production.

As a Build Engineer, you'll own our internal builds end to end. Think of the role as an operations program manager for internal builds who is also a hands-on engineer: you'll plan each build, get the parts, tools, and people in place, run it on the floor, and fix whatever slows it down. You'll work closely with our mechanical, electrical, thermal, test, inventory, and lab operations teams, and the processes you set up will become how Etched builds hardware as volume ramps.

## Key Responsibilities

- Own internal rack and subassembly builds from kickoff to delivery, including schedule, material readiness, staffing, and on-time completion
- Run clear-to-build checks against the BOM and work with inventory and supply chain to close shortages before they stop a build
- Write and maintain build procedures, work instructions, and travelers, and manage the transition of assemblies from development builds to production
- Review CAD models and drawings with design engineers to flag manufacturability, assembly, and serviceability issues early
- Design or specify the fixtures, tooling, and build stations the team needs
- Integrate mechanical, thermal, power, and electrical subsystems into full rack assemblies, and develop and run the test procedures that go with them
- Lead build technicians on the floor and be the first engineer on the problem when a build hits an issue
- Question requirements, remove unnecessary parts and steps, and simplify the build flow to cut cycle time
- Track build status, risks, and blockers, and give leadership a clear read on what will ship and when
- Turn lessons from each build into the processes and documentation we'll use as we scale into NPI and higher-volume production

You may be a good fit if you have (Must-have qualifications)

- A bachelor's degree in mechanical, electrical, manufacturing, or aerospace engineering, physics, or equivalent hands-on experience
- Hands-on experience building hardware
- A track record of owning a build or hardware program end to end and delivering it on time
- Working knowledge of manufacturing and assembly processes, reading drawings, and GD&T
- Comfort working on the floor alongside technicians, and clear communication with technicians, engineers, and leadership
- The ability to move fast with incomplete information and stay calm when a build goes wrong

Strong candidates may also have experience with (Nice-to-have qualifications)

- Server, rack, data center, or other electronics hardware integration
- Building hardware at a high-rate company in aerospace, automotive, or consumer electronics
- Designing fixtures and tooling in CAD
- PLM, MES, or ERP systems such as Teamcenter
- Scaling a build from prototype to volume production
- Python, Excel, or other scripting for build tracking and analysis

## Benefits

- Medical, dental, and vision packages with generous premium coverage
- $500 per month credit for waiving medical benefits
- Housing subsidy of $2,500 per month for those living within walking distance of the office
- Relocation support for those moving to San Jose (Santana Row)
- Various wellness benefits covering fitness, mental health, and more
- Daily lunch and dinner in our office
- Unlimited compute budget subject to ROI justification

## How we’re different

Etched believes in the[Bitter Lesson](http://www.incompleteideas.net/IncIdeas/BitterLesson.html). We are the first inference-focused frontier AI system, betting early on transformer and transformer-like architectures and on increasing model sizes. Our addressable market is the entirety of inference, unlike many of our competitors.

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 and work across disciplines as needed.

## About Etched

## Company Overview
- **One-liner**: Etched designs and manufactures specialized ASICs (application-specific integrated circuits) that are hardwired to run transformer-based AI models, offering an order-of-magnitude improvement in inference cost and energy efficiency over general-purpose GPUs.
- **Entity Type**: Private (Series B / later stage; total raised $800M as of June 2026)
- **Headquarters**: San Jose, California, USA (also has offices in Cupertino, CA; Sacramento, CA; and small presence in Taiwan, Canada, UK, Bulgaria)
- **Founded**: 2022
- **Founders**: Gavin Uberti (CEO), Robert Wachen (President & COO), Chris Zhu (Co-Founder)

## Core Business
- **Primary industry**: AI hardware / semiconductor design / computer hardware manufacturing
- **Target customers**: Frontier AI labs, hyperscalers, and enterprises running large-scale transformer inference workloads (B2B, enterprise)
- **Mission / purpose**: Build hardware for superintelligence – specifically, the world’s most powerful servers for transformer inference.

## Products & Services
- **Sohu Chip (ASIC)**: A transformer-specific ASIC manufactured by TSMC. It burns the transformer architecture directly into silicon, eliminating the overhead of general-purpose GPUs for inference.
- **Frontier Inference Clusters**: Full-stack systems that bundle the Sohu chip with custom-designed racks, networking, and software. Customers place orders for complete systems, not just chips. Etched claims they deliver more tokens per dollar and per watt for dense models, sparse MoEs, diffusion models, and more.
- **Software Stack**: Includes compiler and runtime optimizations built by a team with deep experience (former Apache TVM developer, ex-Google TPU software lead).

## Market Standing
- **Valuation**: $5 billion post-money valuation (as of December 2025 / disclosed June 2026)
- **Key Metric**: $1 billion in contract orders (booked) for its systems; total funding of $800M (including an unannounced $500M round closed Dec 2025 led by Stripes)
- **Notable Investors**: Stripes (lead), VentureTech Alliance, Jane Street, Hudson River Trading, Two Sigma, Ribbit Capital. Angel investors include Andrej Karpathy, Geoffrey Hinton, Fei-Fei Li, Arthur Mensch, Scott Wu, Stanley Druckenmiller, Peter Thiel. Earlier backers: Positive Sum, Primary Venture Partners.
- **Growth Signals**:
  - Headcount: 258 employees (as of mid-2026), up 141% year-over-year
  - 100+ active job postings across engineering, operations, and business functions
  - $500M raise in late 2025; first chip manufactured by TSMC in 2025 and now being tested with customers
  - Talent sources include Google (21), Apple (17), NVIDIA (16), Tesla (11), Intel (10), AMD (5)

## Competitive Advantages
- **Transformer-specific architecture**: Unlike GPUs (which are general-purpose), Etched’s chip is hardwired only for transformer operations, enabling drastically lower cost and latency for today’s dominant AI model architecture.
- **Full-stack system play**: By selling entire inference clusters (chip + rack + software), Etched captures more value and delivers a turnkey solution competitive with NVIDIA’s DGX/HGX systems.
- **Deeply experienced leadership**:
  - CEO Gavin Uberti (Harvard math researcher, AI compiler expert, Apache TVM contributor)
  - President Robert Wachen (co-founded Prod AI incubator; Thiel Fellow)
  - VP of Platform (ex-NVIDIA 22 years, built HGX/DGX systems)
  - VP of Software (ex-Google DeepMind, lead TPU v1–v5 software)
  - Chief Architect Saptadeep Pal (former Auradine co-founder, chiplet expert)
  - VP of Hardware Engineering Ajat Hukkoo (ex-Cypress CTO, shipped >$1B revenue products)

## Strategic Focus
- **Scale manufacturing and customer deliveries**: With the first chip successfully fabricated, the company is now testing production systems and aims to fulfill $1B in pre-orders.
- **Expand engineering talent**: Aggressively hiring across silicon design, validation, infrastructure, optics, and software to support volume ramp.
- **Maintain technological lead**: Continue refining the ASIC for future transformer variants and MoE mixtures while building out a partner ecosystem.

## Why Work Here
- **Mission-driven, high-impact engineering**: “Building the hardware for superintelligence” – the company is solving one of the hardest problems in compute (inference efficiency) with a focused team.
- **Top-tier team and learning environment**: Colleagues from Google, NVIDIA, Apple, Tesla, Broadcom, and Intel; exposure to full-stack chip-to-system design.
- **In-office culture**: All roles are in-office (Cupertino and San Jose, CA). The company emphasizes on-site collaboration for hardware development. Notable perks are not heavily advertised, but compensation is competitive for the AI hardware space (equity-heavy).
- **Growth trajectory**: 141% headcount growth YoY, hundreds of open roles, and a $5B valuation signal strong backing and career acceleration potential.
- **Intellectual challenge**: Work on chip simulation, RTL design, system validation, or software infrastructure for cutting-edge AI inference.

## Sources
1. [etched.com/careers](https://www.etched.com/careers)
2. [builtin.com/company/etched](https://builtin.com/company/etched)
3. [linkedin.com/company/etched-ai](https://www.linkedin.com/company/etched-ai)
4. [cbinsights.com/company/etched](https://www.cbinsights.com/company/etched)
5. [techcrunch.com/2026/06/30/nvidia-competitor-etched-hits-5b-valuation-1b-in-sales-for-ai-chip/](https://techcrunch.com/2026/06/30/nvidia-competitor-etched-hits-5b-valuation-1b-in-sales-for-ai-chip/)

## Other roles at Etched

- [Inventory Site Lead (Milpitas)](https://feeny.ai/job/inventory-site-lead-milpitas-etched-san-jose-mzfdmk6qz5fp) — San Jose, CA
- [Strategic Buyer](https://feeny.ai/job/strategic-buyer-etched-san-jose-d8bna5vet7aw) — San Jose, CA
- [People Operations Generalist](https://feeny.ai/job/people-operations-generalist-etched-san-jose-qgrbrkrq0kx2) — San Jose, CA
- [Manufacturing Operations Program Manager (Taiwan)](https://feeny.ai/job/manufacturing-operations-program-manager-taiwan-etched-taoyuan-31grtwdgzvxw) — Taoyuan, Taiwan
- [Core Engineering Intern](https://feeny.ai/job/core-engineering-intern-etched-san-jose-fcf2ty5ebmnr) — San Jose, CA
- [Forward Deployed Systems Engineer](https://feeny.ai/job/forward-deployed-systems-engineer-etched-san-jose-s3zf8j5vd0va) — San Jose, CA
- [Electricals Materials Handler (Inventory)](https://feeny.ai/job/electricals-materials-handler-inventory-etched-san-jose-6azxve93tnjp) — San Jose, CA
- [Infrastructure Engineer, Factory Acceleration](https://feeny.ai/job/infrastructure-engineer-factory-acceleration-etched-san-jose-zhzf6k3drvsy) — San Jose, CA
- [Design Engineer, Factory Acceleration](https://feeny.ai/job/design-engineer-factory-acceleration-etched-san-jose-t9g2qtym21s9) — San Jose, CA
- [Forward Deployment Engineer](https://feeny.ai/job/forward-deployment-engineer-etched-san-jose-sbpdvtz1r1sb) — San Jose, CA