Staff Software Engineer, Emerging On-Prem AI 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.

• Experience with or passion for building deep system skills.
• Experience with large-scale fleet operations.
• Understanding of low level system software, OS, firmware, low level

networking, or hardware.

ABOUT THE JOB:

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.

Google is looking to build the next generation of on prem AI infrastructure to

bring the best of Google to empower Frontier model and AI solution builders to

advance the AI around the world. We're looking for engineers with exposure to

fully integrated AI infrastructure systems, from hardware to software design and

workload management, to developing large-scale training and inference workloads,

and optimizing performance

In this role, you will be building the AI infrastructure for the future, so if

you are interested in building a brand new product in a changing environment,

rather than just evolving an existing one, this may be the role you are looking

for.

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:

• Drive project success by setting the technical goal and roadmap.
• Mentor software engineers on the team will be a top priority of this role.
• Deliver features in a changing environment working with other product

areas/teams in Google. Scoping bold ambiguous problems into tractable

projects and delivering results incrementally is a key responsibility.

• Design and lead development of test infrastructure. Ensure central

responsibility is taken for diagnostics and troubleshooting of end-to-end

supportability issues, to uncover and address complex technical problems, and

the building of solutions including tools and repair automation systems.

• Implement and drive continuous improvement via success metrics for the team,

spanning release quality metrics and customers facing operations.