---
title: 'Core Software Engineer at Etched'
canonical: 'https://feeny.ai/job/core-software-engineer-etched-san-jose-5vbt8ey5a5ws'
type: 'job'
last_seen: '2026-09-07'
---

# Core Software Engineer at Etched

- **Company:** [Etched](https://feeny.ai/companies/etched)
- **Location:** San Jose, CA
- **Compensation:** $150k–$275k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2025-07-26
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.ashbyhq.com/etched/e6416d04-da00-4917-a817-787b77c35650/application

**Skills:** TypeScript, React, Python, Infrastructure experience, DevOps experience, AI system deployment

> Build critical infrastructure and production-level code to power the world's first AI inference system. This role involves shipping 0-to-1 solutions, designing critical technical foundations, and collaborating cross-functionally to solve time-sensitive, business-critical problems.

## 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

Build the products that will power a majority of the world’s inference. The Core Engineering team is our special forces. This role works directly with our founders to identify critical gaps across the organization and build solutions 0 to 1, often in days not weeks, with immediate feedback loops. Your projects will vary widely: one week you might build internal infrastructure to unblock a hardware team, the next you might prototype a deployment for a customer or stand up a new tooling workflow.

This role is for engineers who thrive on ambiguity, move fast without sacrificing quality, and get energy from solving whatever problem matters most right now. It is a whiteboard for future founders – if you’re interested in shipping 0-1 production-level code every week, this role is for you.

This role requires not only exceptional full-stack engineering capabilities, but also deep product sense, personal accountability, and a knack for building from the ground up. At Etched, we’re developing our processes for scale, and we’re looking for engineers to deploy to our toughest challenges. The problems we solve are time-sensitive and business-critical. This role will not be a 9-5, and the ideal candidate is excited about that.

## Key Responsibilities

- Detect problems and inefficiencies across the organization, bringing them to the attention of the executive team, and develop custom applications and projects for each need. The ideal candidate should be comfortable shipping from scratch every week.
- Work cross-functionally to execute special projects between the executive team and the rest of the organization.
- Define and represent operational milestones by collecting company data, developing business intuitions, and executing whatever needs to be done to meet them.
- Design the interfaces, developer workflows, and critical infrastructure that will define the company’s technical foundation.

You may be a good fit if you

- Strong full-stack skills (TypeScript, React, Python).
- 1-5 years of experience building and shipping software end to end, ideally in a startup environment.
- Product sense and its necessary prerequisites, from AI tooling proficiency to design taste.
- Bias towards action and comfort with incomplete information.
- Ability to continuously learn, set metrics, and solve problems with minimal supervision and maximum impact.
- Excitement for solving technical problems with data structures, storage systems, cloud infrastructure, front-end frameworks, and other technical tools.

Strong candidates may also have experience with

- Infrastructure or DevOps experience
- Prior startup experience, especially during hyper growth
- Deploying AI systems in enterprise environments

## Benefits

- Medical, dental, and vision packages with generous premium coverage
- $500 per month credit for waiving medical benefits
- Housing subsidy of $2k 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 + 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. 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

- [EE Hardware System Engineer (TW)](https://feeny.ai/job/ee-hardware-system-engineer-tw-etched-taipei-fgncym9kzy6w) — Taipei, Taiwan
- [Silicon Validation Engineer, Software](https://feeny.ai/job/silicon-validation-engineer-software-etched-san-jose-qhp3k9xqy5vr) — San Jose, CA
- [RMA & Repair Lead](https://feeny.ai/job/rma-repair-lead-etched-san-jose-q0tmchh0yyrj) — San Jose, CA
- [Advanced Packaging SI/PI Engineer](https://feeny.ai/job/advanced-packaging-si-pi-engineer-etched-san-jose-47he7k0hp901) — San Jose, CA
- [Substrate IC Package Layout Design Engineer](https://feeny.ai/job/substrate-ic-package-layout-design-engineer-etched-san-jose-g36wmxc8ww9r) — San Jose, CA
- [ECAD Librarian](https://feeny.ai/job/ecad-librarian-etched-san-jose-0h5kvj2cxzk4) — San Jose, CA
- [Inventory Warehouse Coordinator](https://feeny.ai/job/inventory-warehouse-coordinator-etched-san-jose-49b0bs49ce57) — San Jose, CA
- [Logistics Analyst (Taiwan)](https://feeny.ai/job/logistics-analyst-taiwan-etched-taipei-5xzc094cqgzn) — Taipei, Taiwan
- [Communications](https://feeny.ai/job/communications-etched-san-jose-3f4bdr97hysp) — San Jose, CA
- [Production Finance](https://feeny.ai/job/production-finance-etched-san-jose-qfypbv9eh0ws) — San Jose, CA