Product Safety Test Engineer

Minimum qualifications:

• Bachelor's degree in Electrical Engineering, Computer Engineering, Physics, or a related field (e.g., Optics, Sensors, System Power, Audio/DSP), or equivalent practical experience.
• 2 years of experience working in a data center environment, or 1 year of experience with an advanced degree.
• Experience with IEC 62368-1 and related Safety standards.
• Experience with Product Safety Lab environments.

Preferred qualifications:

• Master's degree or PhD in Electrical Engineering, Computer Engineering, Physics, or a related field (e.g., Optics, Sensors, System Power, Audio/DSP).
  
• Experience working with high voltage power systems.
  
• Experience fabricating test jigs and setups.
  
• Experience with networking principles (e.g., TCP/IP, Physical and network layers of OSI Model, SSH, Telnet).
  
• Experience setting up, obtaining, and maintaining industry standards lab accreditation.
• Excellent communication and organizational skills with demonstrated attention to detail and ability to write test scripts.

About the job

Our computational challenges are so big, complex and unique that we can't just purchase off-the-shelf hardware, we have got to make it ourselves. Your team designs and builds the hardware, software and networking technologies that power all of Google's services. You will see those systems from concepts all the way through to high volume manufacturing. Your work has the potential to shape the machinery that goes into our data centers affecting millions of Google users.

As a Safety Test Engineer, you will work closely with Hardware Testing and Design teams, other product safety engineers, and suppliers to understand project architectures. You will conduct safety testing to extract data to validate that all safety goals are met in accordance with relevant standards and specifications. In this role, you will use safety, electrical, networking, mechanical, and software fundamentals to test various Information Technology Equipment.

The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

The US base salary range for this full-time position is $105,000-$151,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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

• Conduct daily Product Safety testing on large teams with emphasis on collaboration and teamwork.
  
• Prepare, exercise, and configure equipment under test and record test data in accordance with industry standards.
  
• Analyze test data, perform calculations, and prepare documentation. Maintain in-house test labs and product technical files.
  
• Oversee Safety Lab test equipment and fixtures by assuring all equipment is operational and calibrations are current.
  
• Support testing at third-party test labs.