Hardware Validation Engineer, Google Cloud

2 Months ago • 1-3 Years • Research & Development • $122,000 PA - $178,000 PA

Job Summary

Job Description

This Hardware Validation Engineer role at Google Cloud involves supporting new product engineering and development in Google’s hardware R&D labs. Responsibilities include designing and building system-level testbeds, maintaining lab infrastructure, working with teams to develop software and hardware systems, coordinating lab and engineering team interactions, resolving problems and escalating issues when necessary, and generating implementation plans. The role requires experience with Linux, networking, troubleshooting, data center servers, and debugging. A Bachelor's degree in a relevant field (e.g., Electrical Engineering, Computer Science) and 2 years of relevant experience (or 1 year with an advanced degree) are required.
Must have:
  • Bachelor's degree in relevant field
  • 2+ years hardware engineering experience
  • Linux, networking, troubleshooting expertise
  • Data center server debugging skills
  • System-level testbed design & build
Good to have:
  • Master's/PhD in relevant field
  • Data center/networking operation experience
  • Network design & protocol knowledge
  • Python or scripting language experience
Perks:
  • Bonus
  • Equity
  • Benefits

Job Details

Minimum qualifications:

  • Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or a specialized field (e.g., Optics, Sensors, Audio/DSP, etc.), or equivalent practical experience.
  • 2 years of experience working in a hardware engineering technical environment, or 1 year of experience with an advanced degree.
  • Experience with Linux, networking, network troubleshooting, failure diagnosis, data center server, debugging/troubleshooting.

Preferred qualifications:

  • Master's degree or PhD in Electrical Engineering, Computer Engineering, Physics, or a related field (e.g., Optics, Sensors, Audio/DSP).
  • Experience working within a data center or networking operation center environment.
  • Experience with network design, protocols, and troubleshooting.
  • Experience with computer systems (e.g., physical, functional, logical, mechanical, electrical, software, thermal, etc.).
  • Experience reading and writing code in Python or other scripting language.

About the job

In this role, you will support new product engineering and development in Google’s hardware research and development labs by helping to design, build, and maintain system-level tests. You will perform work that allows product development teams to focus on development.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

The US base salary range for this full-time position is $122,000-$178,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about .

Responsibilities

  • Help design and build system-level testbeds and maintain lab space, tools, and infrastructure.
  • Work with teams to develop software and hardware systems, develop methodologies and tools to support team members.
  • Coordinate the interactions between labs and engineering teams.
  • Anticipate and resolve problems by applying knowledge, escalate design, manufacturing, and product test issues to other people within the organization when needed.
  • Generate implementation plans and provide technical knowledge and guidance during deployment activities.

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