Paid Sick Days

Performance Bonus

Professional Development

401K

Stock Options

Employee Events

Retirement / Pension Plans

Tuition Reimbursement

Work From Home

Life Insurance

On Site Cafeteria

PERMANENT

FULL_TIME

ADAPTED_NOW

UNKNOWN

The mission of the Data Center Quality Engineering team is to identify and resolve product and process issues in the data center to ensure high quality deployments and reliable hardware that meet Google Cloud’s time to market (TTM) need. Lead high-performing teams to optimize data center workflows, enhancing the speed and reliability of hardware deployments while eliminating systemic inefficiencies.

<h3>Minimum qualifications:</h3><ul><li>Bachelor's degree in Electrical Engineering, Mechanical Engineering, Computer Science, or a related technical field, or equivalent practical experience.</li><li>10 years of experience in hardware quality engineering, manufacturing operations, or hyperscale data center environments.</li><li>3 years of experience managing technical teams of engineers or technicians in infrastructure.</li><li>Experience using structured root cause analysis (RCA) methodologies (e.g., 8D or 5-Why) to resolve hardware failures.</li></ul><h3>Preferred qualifications:</h3><ul><li>10 years of experience in data center infrastructure or operation.</li><li>Experience leading cross-functional problem-solving teams using practical approaches.</li><li>Experience coaching and mentoring technical teams, fostering a culture of continuous learning and data-driven decision-making.</li><li>Proficiency in quality improvement frameworks like Six Sigma, Lean, or ISO 9001 to manage hardware lifecycle standards.</li><li>Ability to communicate complex technical findings into actionable executive summaries for cross-functional leadership and partner teams.</li></ul><div><h2>About the job</h2>Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration. The mission of the Data Center Quality Engineering team is to identify and resolve product and process issues in the data center to ensure high quality deployments and reliable hardware that meet Google Cloud’s time to market (TTM) need. We exist in the data center to gather data, find root cause, and collaborate to create solutions that make our partner teams successful.The US base salary range for this full-time position is $171,000-$248,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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.<div></div><div>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 benefits at Google.</div></div><div><h2>Responsibilities</h2><ul><li>Provide expert-level technical direction for quality engineering, defining the goal across global regions and multiple data center product lines.</li><li>Lead high-performing teams to optimize data center workflows, enhancing the speed and reliability of hardware deployments while eliminating systemic inefficiencies.</li><li>Formalize feedback loops between field observations and product design to mitigate recurring hardware issues and evolve damage control programs.</li><li>Own complex root cause analyses for critical, ambiguous technical issues, ensuring robust product quality and predictable fleet-wide deployment.</li><li>Translate complex performance data and risk assessments into actionable strategic roadmaps and investment justifications for director and VP-level leadership.</li></ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

<p><strong>Build for everyone</strong></p>
<p style="text-align: left"><span style="font-weight: 400">Since our founding in 1998, Google has grown by leaps and bounds. Starting from two computer science students in a university dorm room, we now have thousands of employees and offices around the world. These Googlers build products that help create opportunities for everyone, whether down the street or across the globe.</span></p>
<p style="text-align: left"><span style="font-weight: 400">It starts with how we work together. We’re building a company where people of different views, backgrounds and experiences can do their best work and show up for one another. A place where every Googler feels like they belong.</span></p>
<p style="text-align: left"><span style="font-weight: 400">So whether you develop new technology or creative campaigns, craft beautiful products or breakthrough partnerships, your work here is a chance to accomplish things that matter. Bring your insight, imagination, and healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.</span></p>
<p><strong>Benefits</strong></p>
<p style="text-align: left"><span style="font-weight: 400">We strive to provide Googlers and their loved ones with a world-class benefits experience, focused on supporting their physical, financial, and emotional wellbeing. Our benefits are based on data, and centered around our users: Googlers and their families. They’re thoughtfully designed to enhance your health and wellbeing, and generous enough to make it easy for you to take good care of yourself (now, and in the future). So we can build for everyone, together.</span></p>
<p style="text-align: left"><span style="font-weight: 400">Learn more about Google’s benefits on <a href="https://goo.gle/3SAPCzS">this site featuring Googlers’ experience.</a></span></p>
<p><strong>How we Hire</strong></p>
<p style="text-align: left"><span style="font-weight: 400">Google’s hiring process is an important part of our culture. Googlers care deeply about their teams and the people who make them up. In order to  build for everyone, we know that we need a wide range of perspectives and experiences, and a fair hiring process is the first step in getting there.</span></p>
<p style="text-align: left"><a href="https://goo.gle/4dvrFlr"><span style="font-weight: 400">Learn more about our hiring process.</span></a><br><br></p>

Google

Data Center Quality Engineering Manager

Cloud Computing

Coaching

Communication Skills

Computer Engineering

Computer Science

Cross-Functional

Data Analysis

Data Collection

Electrical Engineering

Engineering Management

Equal Employment Opportunity (EEO)

Field Trials

ISO 9001

Investment Strategy

Leadership

Lean Six Sigma

Manufacturing Operations

Mechanical Engineering

Mentoring

Network Operations Center

Problem Solving Skills

Product Design

Quality Engineering

Quality Management

Risk Analysis

Root Cause Analysis

Structured Analysis

Team Lead/Manager

Technical Leadership

Vehicle Fleets

monster

From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future.

<h3>Minimum qualifications:</h3><ul><li>Bachelor's degree in Reliability, Electrical, Industrial or Mechanical Engineering, or equivalent practical experience.</li><li>8 years of experience with reliability engineering.</li></ul><h3>Preferred qualifications:</h3><ul><li>Master's degree or PhD in Reliability, Electrical, Industrial, or Mechanical Engineering.</li><li>Experience with system level reliability tools such as Reliability Block Diagrams (RBDs), Mean Cumulative Function (MCF), Homogeneous and Non-Homogeneous Poisson Processes (HPP, NHPP), and simulation tools.</li><li>Experience in accelerated life testing, reliability modeling, reliability stats, mission profile development.</li><li><div><div>Experience with failure analysis and fault isolation techniques and their application to find root causes of failure.</div></div></li><li>Experience in statistics and JMP.</li><li>Understanding of physics of failure and reliability physics.</li></ul><div><h2>About the job</h2><p>Google isn't just a software company. The Hardware Operations team is responsible for monitoring the state-of-the-art physical infrastructure behind Google's powerful search technology. As an Operations Technician, you'll install, configure, test, troubleshoot and maintain hardware (like servers and its components) and server software (like Google's Linux cluster). You'll also take on the configuration of more complex components such as networks, routers, hubs, bridges, switches and networking protocols. You'll participate in or lead small project teams on larger installations and develop project contingency plans. A typical day involves manual movement and installation of racks, and while it can sometimes be physically demanding, you are excited to work with infrastructure that is at the cutting-edge of computer technology.</p><p>As a Hardware Reliability Engineer, you will manage the hardware reliability of new machine learning, server, networking, and storage products. You will also perform early system configuration analysis and simulations, to assess reliability capability of the design and plan of record (POR) configurations. You will perform DFR, Reliability test development for hardware targeted to survive rugged environments. You will support field excursion issues and statistical analysis needs for reliability. You will conduct Mechanical, Environmental and Operational accelerated stress test development to cover transportation, operation in challenging usage environments.</p><div></div><div>In this role, you will perform early engagement with the system architect and product teams to drive the selection of best design options, materials, and sub-components/modules/sub-systems. You will define optimal reliability plans for new products, securing resources for required samples and testing needs. You will define and implement an Ongoing Reliability program for the product at the contract manufacturer.</div><p>The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. </p><p>We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.</p><p>The US base salary range for this full-time position is $144,000-$209,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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. </p><p>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 benefits at Google.</p><b></b></div><div><h2>Responsibilities</h2><ul><li>Lead analysis of system hardware designs to enable proactive design evaluations and product de-risk at an early stage of development.</li><li>Lead system reliability efforts by working with other organizations to define reliability goals and reliability plans, securing the resources needed to execute the plan.</li><li>Develop mission profiles for chasis, rack from integration sites to field (data centers) that help predict field reliability.</li><li>Implement the reliability plan and lead all efforts to assess and mitigate risk of failure early during new product introduction (NPI).</li><li>Drive reliability test plans and collect, analyze, and synthesize the test data to enable verification of the design reliability goals.</li></ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Full Time Engineering Jobs in Tarrytown, TX

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Data Center Quality Engineering Manager Google

Hardware Reliability Engineer, Global Hardware Reliability Engineering Google

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