Hardware Qualification Engineer, ML Products, Google Cloud

Google•Sunnyvale, CA

4h•$132,000 - $190,000

About The Position

As a Hardware Qualification Engineer, you will lead initiatives to do end-to-end testing for machine learning hardware deployed in Google's data centers. Google's custom-designed machines make up one of the largest and most powerful computing infrastructures in the world. The Hardware Qualification team ensures that this equipment is reliable. In the Research and Development lab, you plan for and execute the most effective way to test at scale. Working closely with design engineers, you give input on designs to improve our hardware until you're sure it meets Google's standards of quality, reliability, and security. Our Platforms Infrastructure Engineering team designs and builds the hardware and software technologies that power all of Google's services. Our computational challenges are complex and unique, enabled by cutting-edge custom hardware designed and made in-house. As a hardware engineer, you will design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You will see those systems from concept all the way through to high-volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge data centers, affecting millions of Google users. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Requirements

Bachelor’s degree in Electrical Engineering, Computer Engineering, a related field, or equivalent practical experience.
2 years of experience working in a board and systems technical environment.
Experience with testing requirements, best practices, and algorithms for hyperscale hardware or systems, and using scripting and automation to execute test algorithms and analyze results.
Experience with direct use of lab equipment (e.g., scopes, analyzers, or oscilloscopes).
Experience with low-speed interfaces (e.g., SPI or I2C) and high-speed SerDes interfaces (e.g., Ethernet or PCIe).

Nice To Haves

Master's degree in Electrical/Computer Engineering, Computer Science or a related field.
Expertise in running and debugging the PCI Express protocol for root complexes and endpoints.
Understanding of signal integrity, especially for high speed interfaces, and best practices to collect accurate SI data.
Familiarity with lab equipment like scopes, BERTs and analyzers.
Ability to use scripting and automation to execute test algorithms, and then analyze results.
Excellent communication skills, both verbal and written.

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. Analyze results to ensure that they meet Google's requirements.
Report bugs and drive corrective action where needed with external suppliers and internal SQEs, commodity teams and developers.
Use scopes, protocol analyzers, BERTs and other lab equipment to collect high precision data.
Organize results, communicate findings and incorporate learnings to maintain and improve the qualification process.