About the role

What will you do at Google?

MINIMUM QUALIFICATIONS:

* Bachelor's degree or equivalent practical experience.

* 8 years of software development experience in C, C++, Go, or Python.

* 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 designing, building, and operating large-scale

distributed systems, high-performance networking stacks, or operating system

internals.

PREFERRED QUALIFICATIONS:

* Master’s degree or PhD in Engineering, Computer Science, or a related

technical field.

* 8 years of experience with data structures/algorithms.

* 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 lower-half server architectures, hardware-adjacent

orchestration, and low-level security implementations.

* Experience with Kubernetes and Google-internal cluster systems, alongside a

proven ability to build telemetry pipelines and monitoring systems for

distributed 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.

The Emergent AI infrastructure team in 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 AI around the world.

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:

* Lead the design and end-to-end software delivery of specialized AI compute

platforms, ensuring high availability for massive-scale workloads.

* Establish observability and hardening strategies for the lower-half software

stack, including firmware, and hardware qualification.

* Architect robust integration interfaces between custom compute topologies and

industry-standard workload schedulers like Kubernetes and GKE.

* Architect secure boot and cryptographic remote attestation flows for

distributed hardware platforms.

* Partner closely with hardware engineering and chip design teams to influence

future architectures for large-scale deployment.

Which skills does this role require?

CC++GoPythonDistributed systemsHigh-performance networkingOperating system internalsHardware architectureSecure bootCryptographic attestationAI infrastructureFirmwareSoftware engineeringAI/ML InfrastructureTPUSupercomputersDistributed SystemsGKEHardware ArchitectureSecure BootCryptographic AttestationVertex AIGoogle CloudSoftware EngineeringCompute TechnologiesInfrastructureScalabilityReliabilityEfficiencyChip DesignGCPMachine Learning

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