Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowFirst seen 4 hours ago

Hardware Validation Engineer, Data Center Engineering Labs

Google3,444 open roles

Where
Mountain View, CA, USA
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowHardware Validation Engineer, Data Center Engineering LabsGoogle · Mountain View, CA, USA

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Google's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.7% of postings close within 7 days. Measured by our own scanner across the market. Google postings stay open a median of 29 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.5%3 days
  3. 12.7%7 days
  4. 20.4%14 days
  5. 35.6%30 days
  6. 58.7%60 days
This job: first seen 4 hours ago

Google median: 29 days open

The posting

Minimum qualifications:

  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, a related technical field, or equivalent practical experience.
  • 2 years of experience working in a data center operations or facilities technical environment (or 1 year of experience with an advanced degree).
  • Experience in systems validation and testing.
  • Experience with Linux operating systems, networking/cabling infrastructure (fiber/copper), and physical hardware troubleshooting.

Preferred qualifications:

  • Experience with New Product Introduction (NPI) processes, including landing, powering up, and configuring early-stage/prototype hardware.
  • Experience performing physical, component-level thermal rework (thermal paste/pads, heatsinks, liquid cooling loops) and customized networking rework.
  • Experience managing small-to-medium deployment or deployment infrastructure projects, including timeline coordination and stakeholder communication.
  • Experience as a Data Center Facilities Technician with knowledge of power distribution, cooling, and rack-level thermal performance.
  • Ability to write and maintain basic automation scripts (e.g., Python, Bash) and build system/lab monitoring dashboards.

About the job

As a Hardware Validation Engineer for our Data Center Engineering Labs, you will bridge the gap between traditional data center facilities operations and Research and Development systems engineering. Based in our hardware engineering labs, you won't just maintain existing operations—you will play a direct role in landing, turning up, and maintaining early-stage hardware systems.

You are a Data Center Facilities or Operations Technician looking to expand your skill set into New Product Introduction (NPI), automated monitoring, thermal/networking rework, and engineering project management in an agile lab environment.

Our Platforms Infrastructure Engineering team designs and builds the hardware and software technologies that power all of Google's services. Our computational challenges are complex and unique, enabled by cutting-edge custom hardware designed and made in-house. As a hardware engineer, you will design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You will see those systems from concept all the way through to high-volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge data centers, affecting millions of Google users.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $132000 - $189000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Manage end-to-end physical deployment, rack-level integration, power-up, and network turn-up of prototype systems and early-stage hardware in the engineering lab.
  • Perform physical reworks on development equipment, including upgrading thermal interface materials (heatsinks, thermal pads) and implementing custom network cabling topologies.
  • Coordinate timelines and logistics for New Product Introductions (NPI), collaborating with design engineers to ensure landing requirements and schedules are met.
  • Develop scripting automation (e.g., Python, Bash) and design custom dashboard monitoring tools to track lab infrastructure health and system metrics.
  • Troubleshoot hardware, OS, and network connectivity issues, keeping Research and Development environments operational while enforcing electrical, physical, and environmental safety standards.
From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Google's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Google's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Google's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.