Staff Software Engineer, AI and Infrastructure
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Role details
Tech stack
Job description
- Design, implement, and analyze computer systems and their interactions with the kernel and hardware.
- Collaborate with partner teams as well as users across Google e.g., Borg team, ML teams, HW platform teams, SRE teams, Googleâs internal and Cloud users
- Solve ambiguous and high impact problems.
- Conduct strategic planning and tactical execution in complex projects. Ability to cross-coordinate across partner teams in Warsaw.
- Develop junior engineers on the team.
Requirements
Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain., * Bachelorâs degree or equivalent practical experience.
- 8 years of experience programming in C++.
- 5 years of experience testing, and launching software products.
- 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
- 3 years of experience with software design and architecture., * Masterâs degree or PhD in Engineering, Computer Science, or a related technical field.
- 3 years of experience in a technical leadership role leading project teams and setting technical direction.
- 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
- Experience with Linux Internals, Cluster Management, System Architecture, Virtualization, and Security.
About the company
Google Cloudâs mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models and a massive product vehicle reaching billions. Our talent density and AI-powered tools drive rapid development, rooted in a culture of empowerment and a bias to action. In this role, you arenât just building technology; youâre shaping the frontier of enterprise and driving the evolution of advanced models.
Our team develops Borglet which is Googleâs ânode agentâ, responsible for managing the life cycle of all user processes that run on all our machines. The Borglet Infrastructure group in Borglet is a team of 30 SWEs (distributed between Sunnyvale and Warsaw) developing core pieces of Borglet (Software Architecture, Runtime, Machine Management, Storage) to deliver the container infrastructure that is scalable, extensible, efficient and secure. The team is focused on key large initiatives in MSCA like ML/AI Infrastructure (GPU/TPUs in cluster management system), Security, Capacity Fungibility, Warp Space (TI VMs).
The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloudâs Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $207000 - $301000 (USD) + 20% bonus target + equity + benefits, Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogleâs EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC_KnowYourRights_10_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
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