Staff Software Engineer, AI and Infrastructure

About the role

MINIMUM QUALIFICATIONS:

• Bachelor's 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.

PREFERRED QUALIFICATIONS:

• Master’s 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 JOB:

Google Cloud’s 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 aren’t just building technology; you’re shaping the frontier of

enterprise and driving the evolution of advanced models.

Our team develops Borglet which is Google’s “node agent”, 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 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: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES:

• 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, Google's 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.