Minimum qualifications:
- Bachelor's degree in Computer Science, Electrical Engineering, or equivalent practical experience.
- 8 years of experience in DevOps or infrastructure engineering, with experience in a leadership role.
- Experience in CI/CD pipelines (e.g., Jenkins, GitLab CI) and infrastructure automation tools such as Terraform or Ansible.
- Experience managing version control systems and optimizing databases such as PostgreSQL or MySQL.
- Experience in Python, C++, and Bash scripting.
Preferred qualifications:
- Master's degree in a relevant technical field.
- Experience with the DevOps VLSI, semiconductor, or hardware design industry.
- Experience with MLOps applied to infrastructure management and with containerization (Docker, Kubernetes).
- Ability to communicate technical roadmaps to global stakeholders and lead high-performing teams in fluid environments.
About The Job
In this role, you'll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You'll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.
In this role, you will be part of a team developing Application-Specific Integrated Circuits (ASIC) used to accelerate and improve traffic efficiency in data centers. You will collaborate with members of architecture, verification, power and performance, physical design, etc. to specify and deliver high quality designs for next generation data center accelerators. You will solve technical problems with innovative micro-architecture and practical logic solutions, and evaluate design options with complexity, performance, power and area in mind.
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 force 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
- Define and manage the strategy for CI/CD pipelines, configuration management, and infrastructure automation across the VLSI design lifecycle.
- Optimize large-scale distributed infrastructure, including compute farms and storage, ensuring high performance for complex chip design workloads.
- Oversee critical services such as version control systems, build systems, and design data management. Provide technical mentorship to the DevOps team and collaborate with CAD and Design teams to deliver tailored solutions.
- Drive the adoption of Google DevOps tools and Infrastructure-as-Code (IaC) principles.
- Integrate AI/ML techniques into infrastructure management for enhanced operational efficiency and capacity planning.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
