Job description

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. In this role, you will build a performant, reliable, and efficient node management agent for Google Cloud. As part of the broader cluster management team, you will work closely with cluster management software, the Linux kernel, hardware platforms, and Google Cloud infrastructure. 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. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $147000 - $211000 (USD) + 15% bonus target + equity + benefits Learn more about benefits at Google . • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. • Designing, implementing, and analyzing low-level computer systems and their interactions with the Linux kernel and hardware. • Collaborating with partner teams as well as users across Google e.g., cluster management teams, ML teams, hardware platform teams, SRE teams, Google Cloud. • Bachelor’s degree or equivalent practical experience. • 2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting. • 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture. • Experience in low-level systems programming languages (e.g., C++ or C). • Experience working on the Linux Kernel. Minimum qualifications: • Bachelor’s degree or equivalent practical experience. • 2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting. • 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture. • Experience in low-level systems programming languages (e.g., C++ or C). • Experience working on the Linux Kernel. Preferred qualifications: • Master's degree or PhD in Computer Science or related technical fields. • 2 years of experience with data structures or algorithms. • Experience developing accessible technologies. • Experience working with computer architecture. • Experience in operating systems.

Requirements

Must-haves

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Learn more about benefits at Google .
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
Designing, implementing, and analyzing low-level computer systems and their interactions with the Linux kernel and hardware.
Collaborating with partner teams as well as users across Google e.g., cluster management teams, ML teams, hardware platform teams, SRE teams, Google Cloud.
Bachelor’s degree or equivalent practical experience.
2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting.
2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
Experience in low-level systems programming languages (e.g., C++ or C).
Experience working on the Linux Kernel.
Bachelor’s degree or equivalent practical experience.
2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting.
2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
Experience in low-level systems programming languages (e.g., C++ or C).
Experience working on the Linux Kernel.
2 years of experience with data structures or algorithms.

Nice-to-haves

US: $147000 - $211000 (USD) + 15% bonus target + equity + benefits
Master's degree or PhD in Computer Science or related technical fields.
Experience developing accessible technologies.
Experience working with computer architecture.
Experience in operating systems.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiml

Platform: google
Effort: medium