Senior Data Center Resource Modeling Engineer

Google; Town of Montana (WI); On-site; USD 207,000 - 300,000; Full time

Benefits offered by this job

Equity

Bonus target

Benefits

Job summary

Google is seeking a Staff Software Engineer, Data Center Resource Modeling in Sunnyvale, CA. The role focuses on designing and building a next-generation data center resource modeling platform to manage hardware, plan capacity, and optimize lifecycle operations at scale.

Lead architectural direction, roadmap, and cross-functional collaboration with AI and infrastructure teams, while delivering scalable solutions and reducing total cost of operations for Google’s data centers.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in programming.
• 5 years of experience testing, and launching software products.
• 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
• 3 years of experience with software design and architecture.
• Experience with distributed computing, large-scale data processing.

Responsibilities

• Provide technical leadership on high-impact projects.
• Influence and coach a distributed team of engineers.
• Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
• Assess impact to team software stack from new hardware product programs and explore AI driven process improvement and automation.
• Establish technology and product goals in collaboration with other tech leads, managers, partners, clients, and executive leadership.
• Grow technical skills within the team.

Education

Bachelor's degree or equivalent practical experience

Master's degree or PhD in Engineering, Computer Science, or a related technical field

Job description

Google is seeking a Staff Software Engineer, Data Center Resource Modeling in Sunnyvale, CA. The role focuses on designing and building a next-generation data center resource modeling platform to manage hardware, plan capacity, and optimize lifecycle operations at scale.

Lead architectural direction, roadmap, and cross-functional collaboration with AI and infrastructure teams, while delivering scalable solutions and reducing total cost of operations for Google’s data centers.