Minimum qualifications:
- Bachelor’s degree in Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience.
- 4 years of experience working in product safety, or 3 years of experience with an advanced degree.
- Experience with test equipment such as oscilloscopes, hi-pot testers, electronic loads, etc.
- Experience with procedures related to obtaining international product safety approvals (CB, CE, NRTL/C, BIS CRS, KC, RCM, BSMI, CCC, etc.).
Preferred qualifications:
- Master's degree or PhD in Electrical Engineering, Computer Engineering, Physics, or a related field.
- Experience with large-scale fire and fault condition testing.
- Experience working within full product delivery life-cycles in a dynamic fluid environment.
- Experience in Product Safety with Information Technology Equipment, liquid cooling and cooling distribution units.
- Knowledge of hardware design constraints and tradeoffs, and an ability to find cost effective work arounds and simultaneously investigate multiple avenues to solve problems.
- Knowledge of the regulatory landscape and requirements in data center applications.
In this role, you will play a key role in the development of one of the world's most impressive computing infrastructures. Your objective will be to collaborate closely with our Product Development Teams to propose, evaluate and qualify design features which enhance the level of product safety as well as to ensure compliance to relevant worldwide safety standards. This will involve engaging with various disciplines (Electrical, Mechanical, Thermal, Power, etc.) as early as possible in the Research and Development (R&D) cycle to ensure compliance by design rather than retrofit at a later time.You will interface with the compliance team to ensure all requirements have been implemented from a practical perspective.
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 $147,000-$216,000 + 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.
- Work with hardware design teams and suppliers to understand new project architectures. Determine the appropriate safety standards and regulations.
- Apply Hazard Based Safety Engineering principles to evaluate the hazards. Provide feedback to the design team to mitigate those hazards.
- Develop test plans and lead a compliance testing team to extract key data to validate all safety goals are met in accordance with relevant standards and specifications. Resolve non-compliant issues by the most efficient and cost effective methods.
- Cultivate good working relationships with customers, external suppliers, agencies, and manufacturing to further safety goals. Help in developing strategy and roadmap for Safety initiatives to support power, cooling, and data center infrastructure.
- Travel domestically and internationally as required. Communicate and document findings, risks and recommendations, and perform failure analysis to sustaining engineering teams of deployed products.
