---
title: 'Embedded Software Engineer at Etched'
canonical: 'https://feeny.ai/job/embedded-software-engineer-etched-san-jose-yvaafjb9ykr4'
type: 'job'
last_seen: '2026-09-07'
---

# Embedded Software Engineer at Etched

- **Company:** [Etched](https://feeny.ai/companies/etched)
- **Location:** San Jose, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-05-19
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.ashbyhq.com/etched/8e280db7-f954-4467-b3ea-b9b4386d6632/application

**Skills:** Software development, Data structures, Algorithms, Firmware design, Firmware implementation, Firmware debugging, Embedded architectures, ARM, PCIe, DMA, HBM, DRAM, Ethernet, UART, Hardware bring-up, AXI fabrics, Caching, Low-level computer architecture details

> Own the accelerator software stack for a transformer-specific ASIC, spanning ASIC firmware, microcontroller software, and host-side kernel drivers. The role involves collaborating across three domains to enable real-time video generation models and low-latency inference systems.

## 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

This role owns the accelerator software that makes our chips usable. You'll work across the layers that bring the chip to life and connect it to the host: the firmware that powers it on, the on-die software that initializes and manages it, and the kernel-level interface that exposes it to the rest of the inference stack. The work spans three tightly-coupled domains; ASIC firmware, microcontroller firmware, and host-side kernel and drivers. We hire engineers who are deep in one area and curious about the others.

This role spans across three work areas. You would specialize in one and contribute across the others as the team grows:

- ASIC Software— Collaboration on ASIC architecture, on-device inference instruction execution, CPU initialization, bootloaders, IO drivers, thermal and power management, DMA data transfer, on-chip application software, and validation. The code that runs on the die itself on its various embedded CPUs.
- Platform Software — microcontroller architecture and software for power sequencing, telemetry, and firmware update, and the foundational work that takes the chip from powered off to responsive. Involves close collaboration with the hardware team in the schematic and bring-up phases.
- Host-side Kernel and Drivers — the host software that presents our chips as a device the rest of the stack can program against. Linux kernel drivers, PCIe-visible memory management, high-throughput low-latency ring buffer command queues, and SRIOV VF device management.

You may be a good fit if you have

- Bachelor's degree or equivalent practical experience.
- Strong software development fundamentals, including data structures and algorithms.
- Experience shipping and testing software on products that have gone to production.
- Depth in firmware design, implementation, and debugging.
- Familiarity with embedded architectures and the IO technologies that live at the silicon-to-host boundary — ARM, PCIe, DMA, HBM, DRAM, Ethernet, UART — and with systems concepts like scalability, fault tolerance, and consistency.

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

- Master's degree in Computer Science or equivalent technical experience.
- Hardware bring-up on a new chip or board, for the first time ever.
- Solving ambiguous, under-specified problems where the requirements emerge alongside the solution.
- Experience using low-level computer architecture details, like caching or AXI fabrics, to enable software to make decisions at the nanosecond-level.
- Strong communication, particularly when collaborating directly with engineers and across discipline boundaries.

## 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