Hardware Applications Engineer

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 Hardware technical environment, or 3 years of experience with an advanced degree.
  

Preferred qualifications:

• Master's degree or PhD in Electrical Engineering, Computer Engineering, Physics, or a related field.
• 1 year of experience in a technical leadership role.
  

About The Job

Our computational challenges are so big, complex and unique we can't just purchase off-the-shelf hardware, we've got to make it ourselves. Your team designs and builds the hardware, software and networking technologies that power all of Google's services. As a Hardware Engineer, you design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You develop from the lowest levels of circuit design to large system design and see those systems 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.

With your technical expertise, you lead projects in multiple areas of expertise (i.e., engineering domains or systems) within a data center facility, including construction and equipment installation/troubleshooting/debugging with vendors.

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 cutting-edge equipment is reliable. In the R&D 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.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

The US base salary range for this full-time position is $142,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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.

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 .

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.