Hardware Validation Engineer, Platforms
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Minimum qualifications:
- Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or a specialized field (e.g., Optics, Sensors, Audio/Digital Signal Processing(DSP), etc.), or equivalent practical experience.
- 1 year of experience working in a data center technical environment, or an advanced degree.
- Experience with standard networking protocols and various cabling and interconnect technologies (e.g. fiber or copper).
- Experience with Linux.
Preferred qualifications:
- 3 years of experience working within a data center or networking operation center environment.
- Experience working within a team and cross-collaboratively.
- Understanding of computer systems: physical, functional, logical, mechanical, electrical, software, thermal etc.
- Understanding of network design, protocols, and troubleshooting.
- Ability to read and write code in Python or scripting language of your choice.
- Excellent time management skills with an ability to manage constant priority changes and timelines.
About the job
You will support new product engineering and development in Google’s hardware Research and Development (R&D) labs by helping to design, build, and maintain system-level testbeds (think data center-scale).The US base salary range for this full-time position is $102,000-$150,000 + 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.
Responsibilities
- Help design and build complex 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 test issues to other people within the organization when appropriate.
- Generate implementation plans and provide technical expertise and guidance during deployment activities.
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