
Organizing the world's information and making it universally accessible.
Senior Server Qualification Engineer, Google Cloud
About the job
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 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.
We're behind Google's groundbreaking innovations, empowering the development of 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.
Responsibilities
-
Develop comprehensive test plans and mobilize resources across various environments to perform electrical, functional, and reliability testing.
-
Collaborate with Original Design Manufacturer/Joint Design Manufacturer (ODMs/JDMs) to verify that all hardware solutions strictly adhere to internal standards and performance requirements.
-
Identify bugs and drive corrective actions with internal development teams and external suppliers to ensure rapid resolution.
-
Maintain and improve the qualification process, focusing on Gen-to-Gen optimization and overall test efficiency.
-
Lead initiatives to enhance test quality and streamline methodologies to support evolving hardware architectures and project timelines.
Minimum qualifications
-
Bachelor’s degree in Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience.
-
4 years of experience working in a server technical environment, or 3 years of experience with an advanced degree.
Preferred qualifications
-
Master's or PhD degree in Electrical Engineering, Computer Engineering, Physics, or a related field.
-
Experience in performance evaluation and test development for network, storage, GPU, and memory components.
-
Understanding of computer systems (physical, thermal, and software) and familiarity with common interfaces like PCIe, CXL, and I3C.
-
Ability to characterize CPU/Memory quality through statistical analysis and perform methodical root-cause failure analysis.
-
Excellent written and verbal communication skills with an approach to task follow-through.
Total Views
0
Total Apply Clicks
0
Total Mock Apply
0
Total Bookmarks
0
Similar jobs

Senior Software Engineer, CUDA UMD - Graphs and GPU Sharing
NVIDIA · US, CA, Santa Clara

Senior Mechanical Engineer, Intelligence Systems
Anduril · Reston, Virginia, United States

Senior Technical Lead - C, C++, SQL
HCL Technologies

Senior Project Electrical Engineer (Data Center)
Schneider Electric · Petaling Jaya, Malaysia; India; Singapore; Australia

HBM Principal Component Validation Engineer
Micron · Fab 10A, Singapore
About Google

Google specializes in internet-related services and products, including search, advertising, and software.
10,001+
Employees
Mountain View
Headquarters
$1,700B
Valuation
Reviews
10 reviews
4.5
10 reviews
Work-life balance
3.2
Compensation
4.3
Culture
4.1
Career
4.2
Management
3.8
82%
Recommend to a friend
Pros
Great benefits and perks
Innovative and interesting work
Career development and learning opportunities
Cons
High pressure and expectations
Long hours and heavy workload
Fast-paced and overwhelming environment
Salary Ranges
57,503 data points
Mid/L4
Mid/L4 · Accessibility Analyst
1 reports
$214,500
total per year
Base
$165,000
Stock
-
Bonus
-
$214,500
$214,500
Interview experience
9 interviews
Difficulty
3.4
/ 5
Duration
14-28 weeks
Offer rate
44%
Experience
Positive 0%
Neutral 56%
Negative 44%
Interview process
1
Application Review
2
Online Assessment/Technical Screen
3
Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
Common questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Product Sense
Latest updates
Our eighth generation TPUs: two chips for the agentic era - blog.google
blog.google
News
·
1w ago
Google Maps on Android Auto now shows bigger labels on streets along your route [Gallery] - 9to5Google
9to5Google
News
·
1w ago
Google to invest up to $40 billion in AI rival Anthropic - Reuters
Reuters
News
·
1w ago
Google to invest up to $40B in Anthropic in cash and compute - TechCrunch
TechCrunch
News
·
1w ago