Staff Engineer - Data Center Resource Modeling

Google Inc.; Sunnyvale (CA); On-site; USD 210,000 - 300,000; Full time

Job summary

Google Inc. is seeking a Staff Software Engineer to lead the data center resource modeling effort. You will guide architectural goals, define the team's roadmap and priorities, and drive innovation while reducing operating costs across Google’s datacenter fleet.

The role emphasizes ownership of outcomes, cross-functional collaboration, and leadership in a large-scale, rapidly evolving environment with opportunities to shape next-generation hardware and software integration.

Qualifications

• Requires deep experience owning outcomes and decision making.
• 8 years of programming experience; 5 years testing and launching software products.
• 5 years building and developing large-scale infrastructure or related compute/storage/hardware topics.
• 3 years of software design and architecture experience.
• Experience with distributed computing and large-scale data processing.

Responsibilities

• Provide technical leadership on high-impact projects.
• Influence and coach a distributed team of engineers.
• Facilitate alignment across teams on goals, outcomes and timelines.
• Assess impact of new hardware programs on the software stack and explore AI-driven improvements.
• Establish technology and product goals with leadership and grow team skills.

Skills

Outcomes ownership

Programming experience

Large-scale infrastructure

Distributed computing

Software design & architecture

Technical leadership

Matrixed organizations

C++

Java

Data center architecture

Education

Bachelor's degree or equivalent practical experience

Master's degree or PhD in Engineering/CS or related field

Tools

Data center resource modeling tools

Job description

Google Inc. is seeking a Staff Software Engineer to lead the data center resource modeling effort. You will guide architectural goals, define the team's roadmap and priorities, and drive innovation while reducing operating costs across Google’s datacenter fleet.

The role emphasizes ownership of outcomes, cross-functional collaboration, and leadership in a large-scale, rapidly evolving environment with opportunities to shape next-generation hardware and software integration.