Senior Hardware Qualification Engineer, Platforms

Google•Sunnyvale, CA

14h•$159,000 - $230,000

About The Position

Be part of a team developing custom silicon solutions that power Google's direct-to-consumer products. The Platforms Infrastructure Engineering team designs and builds the hardware and software technologies that power Google's services. It works on complex computational challenges enabled by custom hardware designed and made in-house. In this role, you will help design and build systems for Google's computing infrastructure, from concept through high-volume manufacturing. Your work may shape the hardware used in Google's data centers. The position focuses on qualifying Google's machine learning hardware platforms. You will develop test plans, perform and analyze hardware testing, work with suppliers and internal teams to resolve issues, and improve the qualification process. Individual pay is determined by job-related skills, experience, and relevant education or training. The listed US compensation is $159,000–$230,000, plus a 15% bonus target, equity, and benefits.

Requirements

Bachelor’s degree in Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience.
4 years of experience working in a Hardware Qualification technical environment, or 3 years of experience with an advanced degree.
Experience with testing requirements and algorithms for data center hardware or systems, and using scripting and automation to execute test algorithms and analyze results.
Experience with lab equipment, such as scopes and analyzers, to collect traces.

Nice To Haves

Master's or PhD degree in Electrical Engineering, Computer Engineering, Physics, or a related field.
1 year of experience in technical leadership.
Experience with scripting and automation to execute test algorithms and analyze results; familiarity with lab equipment such as scopes, BERTs, and analyzers.
Experience determining appropriate data to collect to facilitate quick, accurate failure analysis from vendors.
Experience with ML hardware components, memory systems, and interconnect technologies, and understanding of ML systems and how to test their interfaces.
Understanding of signal integrity, high-speed interfaces, and best practices for collecting accurate Signal Integrity (SI) data.

Responsibilities

Create test plans and coordinate resources across test environments.
Perform electrical, functional, performance, and reliability testing for Google's machine learning trays and solutions, and analyze results to ensure they meet Google's requirements.
Report bugs and drive corrective action with external suppliers and internal Supplier Quality Engineers (SQEs), commodity teams, and developers.
Use scopes, protocol analyzers, Bit Error Rate Testers (BERTs), and other lab equipment to collect high-precision data.
Organize results, communicate findings, and incorporate learnings to maintain and improve the qualification process.