Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
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
- Lead the design and measurement of high-performance distributed machine monitoring software, including messaging layers, C/C++ libraries, and system daemons.
- Direct the implementation of system modeling templates for New Product Introductions (NPIs) through strategic AI adoption and performance analysis.
- Develop technical roadmaps to influence executive decisions and define "Best Known Method" (BKM) practices across multiple engineering teams.
- Partner with internal and external stakeholders to execute complex engineering programs, focusing on product development and productivity enhancements.
- Foster team growth by modeling high technical standards, providing constructive feedback, and contributing innovative ideas to the engineering organization.
Qualifications
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages.
- 3 years of experience testing, maintaining, or launching software products.
- 3 years of experience with software design and architecture.
- 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
Preferred qualifications:
- Experience in Baseboard Management Controller (BMC) (AMI or OpenBMC), Unified Extensible Firmware Interface (UEFI) Basic Input/Output System (BIOS), or Linux kernel development and system diagnostics.
- Experience with software/hardware integration, system bring-up, and open-source development workflows.
- Familiarity with Redfish, Open Compute Project (OCP) standards, and server x86 computer architecture.
- Proficiency in Python and shell scripting for automation and system management.
- Passion for advancing system modeling descriptions and driving structural improvements across large-scale hardware programs.