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Google

Hardware Systems Quality and Reliability Engineer, Platforms

Google

Published 16 May 2026
Sunnyvale, CA, USA
132K - 189K USD Annual
Full Time
Onsite
27500 - 275000 people

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Role Highlights

Languages used

SQL
Python

Key skills

Project Management
Electrical Engineering
Data Visualization
Technical Leadership
CPU
Embedded Systems
Reliability
Electronics
Servers
Scripting
PhD
Statistics
Modelling
Deployment
Infrastructure
Cloud
Operations
Research

Tools, Libraries and Frameworks

Vertex AI
GCP
Tableau

Description

The role involves identifying and resolving technical issues across hardware fleets to maximize system reliability. Professionals in this position collaborate on data center hardware platforms and conduct root cause analyses to ensure stable customer experiences. The work includes optimizing system health and repairability by developing advanced repair strategies and managing swap rates. Team members partner with software and diagnostics groups to improve the detection and resolution of hardware failures. Additionally, the role requires leading cross-functional projects to implement product and process enhancements based on field performance data. Physical interaction with hardware equipment in a simulated data center environment is a core component of the daily responsibilities.

Required Qualifications and Skills

Candidates must possess a Bachelor's degree in Electrical, Computer, or Hardware Engineering or equivalent practical experience. A minimum of four years of experience in data center system hardware domains is required. Proficiency in data analysis and visualization tools such as SQL, Python, and R is necessary. The role also requires the ability to drive progress and mentor junior team members.

Disclaimer

Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.

About the company

Google

Size

275773

Website

goo.gle

HQ

Mountain View, US

Public/Private

Public Company

Description

At gTech's Users and Products team, innovations are focused on enhancing user engagement and solving complex customer needs through technical expertise and a deep understanding of Google's and Alphabet's broad product environments. The team acts as a bridge between Google’s users and its product teams, ensuring that user insights are integrated into product offerings which support numerous annual product launches. The newly formed Machine Learning Data Operations (MLDO) team within gUP Operations plays a critical role in delivering and tuning machine learning and GenAI data operations across Google’s product suite, leveraging extensive global vendor networks. Google's overarching goal is to create impactful products and services, with gTech playing a strategic role in bringing these solutions to fruition through technological and operational expertise.

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