397,589open jobs
13,889companies
77,448added this week
Browse all
Location
In office (San Jose)
Employment
Full-Time
Overview
Company
Impact
Profile match
Etched. We co-design chips, racks, software, and manufacturing methods so frontier models can run with best-in-class throughput, latency, cost, and power efficiency for both prefill and decode workloads.

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

You will be the L10 System Validation Engineer, defining what it means for the accelerator platform to be production-ready. You'll be responsible for building our Cluster Scale Memory subsystem and build the infrastructure to prove it. You'll personally drive the most critical issues from detection through root cause to verified fix.

Key Responsibilities

  • Author and own the L10 system debug guide, serving as the definitive reference for factory failure analysis and debug teams.

  • Own end-to-end escalation, debug, and resolution of L10 hardware failures across internal and field teams

  • Develop and own L10 system debug guide to be used for the factory by the failure analysis / debug team.

  • Own bring-up and integration across accelerator cards, interconnects (Retimers, C2C fabric), power (PSU, power integrity), and thermal domains.

  • Lead system-level debug with no guaranteed starting point: hardware, firmware (BMC, BIOS, CPLD), and software all in scope simultaneously.

  • Partner directly with CMs to validate incomplete systems, close coverage gaps, and gate production ramp.

  • Build ad-hoc instrumentation, automation scripts, and debug workflows to extract signals from unstable, pre-spec systems.

  • Run sustained workloads using real model variants under thermal and power stress

  • Drive issue closure across cross-functional engineering teams: HW, FW, SW, thermal, power, and manufacturing.

  • Represent validation readiness to leadership with crisp, data-backed assessments

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

  • 10+ years in system validation, platform bring-up, or a tightly adjacent discipline - with direct, solo ownership of full L10 (tray/rack) integration on multi-component platforms.

  • Demonstrated hands-on signal integrity and power integrity debug: SerDes, PCIe Gen5/6, Ethernet, HBM signaling

  • Proven ability to build a coverage model that produces quantitative platform readiness metrics

  • Strong Linux and Python/Bash scripting - you should be comfortable writing tools to instrument, automate, and extract data from systems that aren't fully debuggable yet.

  • Occasional travel overseas to contract manufactures

  • Experience validating AI accelerator or high-performance compute platforms with accelerators, NVMe, high-speed interconnects, and complex power delivery.

  • Track record of detecting integration issues before they escape to production - in environments where specs, tooling, and infrastructure were still being built.

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

  • Familiarity with BMC/IPMI, UEFI/BIOS bring-up, and CPLD firmware debug.

  • Experience with HBM or CSRAM memory subsystem validation.

  • Background validating multi-rack or tray-level systems at hyperscaler or AI hardware company scale.

  • Exposure to large-model inference workloads as stress and coverage tools.

  • Prior work with ODM/CM partners (Pegatron, Foxconn, Wistron, or equivalent) in a validation or NPI capacity.

What success looks like

  • Critical escapes to production are zero - not because nothing broke, but because you assumed everything would break and proved otherwise.

  • You created a structure where there was none: coverage models, automation, debug workflows, and RCA templates exist because you built them.

  • Platform stress runs are stable, repeatable, and instrument-verified under sustained thermal and power load.

  • Manufacturing partners have clear, data-driven pass/fail gates - and they trust the gates because you defined them.

  • Engineering leadership has a real-time, quantified view of platform readiness at every stage of ramp.

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 and dinner in our office

  • Unlimited compute budget subject to ROI justification

How we’re different

Etched believes in the Bitter Lesson. 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.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
397,589 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Similar stack
Same company
San Jose
$100k – $250k per year • Equity 0–1% • In office • Full-Time • 3+ years exp • San Francisco
Python
TypeScript
AI/ML
AI Agents
Frontend
Next.js
React.js
DevOps
AWS
Apply
$37k – $75k per year (Estimated) • In office • 1+ year exp • Bachelor's Degree • Moscow
Python
SQL
AI/ML
Hadoop
Apply
$105k – $130k per year • Remote/Hybrid • Full-Time • 3+ years exp • Bachelor's Degree • New York
JavaScript
Python
PHP
PHP
Drupal
AI/ML
AI Agents
DevOps
CI/CD
Git
Rest API
GitHub
Management
Airtable
Asana
Jira
Trello
QA
Selenium
Apply
$302k – $335k per year • Remote/Hybrid • Full-Time • 8+ years exp • San Francisco
JavaScript
Python
AI/ML
OpenAI
Apply
$100k – $231k per year (Estimated) • In office • Internship • Bachelor's Degree • Needham
MATLAB
Python
Apply
Equity • In office • Full-Time • 5+ years exp • Taipei
Apply
$175k – $225k per year • In office • Full-Time • 6+ years exp • Bachelor's Degree • San Jose
C#
Go
Java
Python
TypeScript
DevOps
CI/CD
Apply
$200k – $300k per year • In office • Full-Time • 10+ years exp • Austin
Perl
Python
AI/ML
LLM
Chips/EDA
Formal Verification
Synopsys Fusion Compiler
Synopsys PrimeTime
Apply
In office • Full-Time • 2+ years exp • Bachelor's Degree • Taoyuan
Python
Chips/EDA
Cadence Allegro
Apply
$150k – $225k per year • In office • Bachelor's Degree • San Jose
Python
AI/ML
Fine-tuning
LLM
RAG
Context Engineering
Post-training
AI Agents
Apply
In office • Full-Time • 15+ years exp • PhD • San Jose
Python
SystemVerilog
AI/ML
Claude
Chips/EDA
UVM
Apply
$115k – $228k per year (Estimated) • In office • Full-Time • 5+ years exp • Bachelor's Degree • San Jose
Perl
Python
SystemVerilog
AI/ML
Claude
Chips/EDA
UVM
Apply
$144k – $198k per year • In office • 2+ years exp • Bachelor's Degree • San Jose
Apply
$173k – $324k per year (Estimated) • Remote/Hybrid • Full-Time • 8+ years exp • San Jose
Go
Java
Python
JavaScript
Java
Spring Boot
Python
FastAPI
Databases
Apache Kafka
PostgreSQL
RabbitMQ
Redis
Kafka
AI/ML
Dagster
LLM
Prefect
RAG
AI Agents
Function Calling
Tool Use
Frontend
Material UI
Next.js
React.js
DevOps
CI/CD
Docker
gRPC
Kubernetes
Cybersecurity
Zero Trust
Zscaler
Apply
$172k – $308k per year (Estimated) • Equity • In office • Full-Time • 10+ years exp • Bachelor's Degree • San Jose • Seattle • San Francisco
Apply
See all jobs
This is one of many
397,589 more open roles from verified company boards, updated every day.