Senior Hardware Validation Engineer, Platforms

Senior Hardware Validation Engineer, Platforms Google - 4.3 Sunnyvale, CA Job Details Full-time $159,000 - $231,000 a year 5 hours ago Qualifications Data Center Operations Computer science Network design Network troubleshooting Master's degree in physics Data center experience Engineering testing Computer Science Bachelor's degree in electrical engineering Bachelor's degree in Physics Software coding Engineering System design Mid-level Electrical engineering Master's degree Product development projects Doctor of Philosophy Computer hardware Network protocols Doctoral degree in computer engineering Computer Engineering Doctoral degree in physics Systems engineering Physics Managing IT infrastructure Master's degree in electrical engineering Technical troubleshooting support Master's degree in computer engineering Electrical Engineering Full Job Description This is a specialized role which requires physical interaction with hardware equipment in a simulated data center environment, utilizing Google labs, power, and safety equipment. Regular development and processing of engineering hardware must be performed on site.

Minimum qualifications:

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or a specialized field, or equivalent practical experience. 4 years of experience working in a data center or networking operation center technical environment.

Preferred qualifications:

Master's degree or PhD in Electrical Engineering, Computer Engineering, Physics, or a related field. Understanding of network design, protocols, and troubleshooting.

Understanding of computer systems:

physical, functional, logical, mechanical, electrical, software, thermal etc. Ability to read and write code in Python or any other scripting language. Excellent communication skills with an ability to act as a team player. Excellent time management skills with an ability to manage constant priority changes and deadlines. About the job In this role, you will support new product engineering within Google's hardware research and development labs by designing, building, and maintaining data center-scale system testbeds. Our Engineering Lab team manages this critical infrastructure to ensure product teams can focus on core development. We pride ourselves on our versatile, wide breadth technical experience and our ability to bridge the operational gaps between specialized development groups. The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. The US base salary range for this full-time position is $159,000-$231,000 + 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 Help design and build system-level testbeds and maintain lab space, tools, and infrastructure. Work with teams to develop software and hardware systems and develop methodologies and tools to support team members. Coordinate the interactions between labs and engineering. Anticipate and resolve problems by applying knowledge and skills, escalating design, manufacturing, and product testing issues to other people within the organization when appropriate. Generate implementation plans and provide technical expertise and guidance during deployment activities. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.