About the job

In this role, you will lead the engineering efforts that safeguard Google's hardware integrity while supporting the growing machine deployment. You will be responsible for managing critical projects involving Intel and Advanced Micro Devices (AMD) CPU servers, as well as high-performance GPU server projects. Your central tasks involve defining the technical goal for diagnostic infrastructure that expands with the fleet, managing engineering teams, and ensuring that the AI/ML platforms are diagnosed and repaired with high precision at unprecedented scale.

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 team 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.

Responsibilities

• Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and decision-making across teams.

• Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals. Meet regularly with individuals to discuss performance and development and provide feedback and coaching.

• Develop the mid-term technical goal and road map within the scope of your (often multiple) team(s). Evolve the road map to meet anticipated future requirements and infrastructure needs.

• Design, guide and vet systems designs within the scope of the broader area, and write product or system development code to solve ambiguous problems.

• Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).

Minimum qualifications

• Bachelor's degree in Engineering, Computer Science, or equivalent practical experience.

• 8 years of experience in software development and programming languages in C, C++, or Python.

• 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or with compute technologies, storage or hardware architecture.

Preferred qualifications

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.

• 8 years of experience with data structures and algorithms.

• 3 years of experience in a technical leadership role leading project teams and setting technical direction.

• 3 years of experience working in a global organization involving cross-functional, or cross-business projects.