Minimum qualifications:
- Bachelor's degree in Engineering or equivalent practical experience.
- 4 years of experience working in a Product Design for Data center platforms technical environment, or 3 years of experience with an advanced degree.
- Experience in manufacturing, hardware validation, and quality control.
- Experience in hardware platform development managing platforms from concept to production.
- Master's degree in Engineering or equivalent practical experience.
- Experience as a systems architect for Machine Learning (ML) systems.
- Experience in representing stakeholders during executive-level planning and prioritization exercises.
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About the job
In this role, you will own strategy and drive execution across a portfolio of projects, ranging from network switches to machine learning pods.
You will interface with stakeholders from data center operations, manufacturing, and supply chain to crystallize Design for Operations requirements. They will influence new platform architectures through technical insights and trade off analyses with stakeholders from the Hardware Design and Software Architecture teams.You will help mentor an experienced team within operations for in-house competence in platforms architecture, both hardware and software.
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
- Develop the strategic roadmap with stakeholders from data center operations, supply chain, and manufacturing to capture the design for operations requirements.
- Identify critical user journeys that capture operational requirements (e.g., serviceability, automation, safety, repair cost, and deployment time).
- Integrate design for operations into the architecture of platforms hardware and software and investigate alternative architectures and roadmaps to enable an optimized system design.
- Engage in the development of the system architecture, including design intent, functional trade-offs, and deployment risks .
- Align organizational boundaries within the Engineering, Network, Power, Compliance, Safety, Supply Chain and Data Center Operations team to leverage shared goals and resource.