Customer Engineer, Infrastructure Modernization for AI

Job description

Customer Engineer, Infrastructure Modernization for AI

_corporate_fare_ Google _place_ Munich, Germany; Berlin, Germany; +5 more; +4 more

**Advanced**

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

_info_outline_

XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: **Munich, Germany; Berlin, Germany; Frankfurt am Main, Germany; Hamburg, Germany; Warsaw, Poland; Stockholm, Sweden** .

**Minimum qualifications:**

+ Bachelor's degree or equivalent practical experience.
+ 10 years of experience with cloud native architectures and modern cloud infrastructure (hardware shapes, sizes, auto-scaling, auto-provisioning, etc.).
+ Experience engaging with, and presenting to, technical stakeholders and executive leaders.
+ Experience with high performance infrastructure technology, on-premise infrastructure engineering, virtualization, or containerization platforms and orchestrators such as Slurm, Kubernetes, for building and operationalizing AI Models training and inference.
+ Experience with networking (switching/routing for ethernet/RoCE/infiniband) in customer-facing or support roles.

**Preferred qualifications:**

+ Master's degree in Computer Science, Mathematics, or a related technical field.
+ Experience as an IT infrastructure consultant or enterprise architect working in data center investment strategies and proposals.
+ Experience with AI Infrastructure systems, networking technologies (e.g., DPU, RoCE, InfiniBand), cooling, and accelerators, especially GPUs and TPUs.
+ Experience or knowledge on leveraging main AI hardware and software stacks and platforms to bring up and deploy large-scale AI compute clusters.
+ Good competitive knowledge of the AI infrastructure market, including main technology providers, differentiators and trends.
+ Demonstrated entrepreneurial background with an ambitious mentality and ability to thrive in dynamic environments.

**About the job**

When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally.

Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative.

You listen and deliver what is most helpful for the customer.

You assist fellow sales Googlers by problem-solving key technical issues for our customers.

You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future using AI technology.

You will work with GCP's technology, complete end-to-end AI stack, and position the same to our customers in all verticals.

As a Customer Engineer, you will support Google Cloud sales teams to incubate, pilot, and deploy Google Cloud’s industry leading AI/ML accelerators (TPU/GPU) at AI innovators, large enterprises, and early stage AI startups.

You will help customers innovate faster with state of the art solutions using Google Cloud’s flexible and open AI infrastructure.

You will be working with Google customers on AI Infrastructure server and networking infrastructure deployments.

Guide customer discussions on network topologies, compute/storage and support bring up of server/network/cluster/cooling deployments.

You will need to visit the customer data center during the bring up phase.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry.

We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably.

Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

**Responsibilities**

+ Become trusted advisors to our top customers, helping them understand and incorporate AI accelerators into their overall cloud and IT strategy by designing large-scale training and inferencing platforms, using the latest and greatest accelerators Google Cloud has to offer.
+ Demonstrate how Google Cloud is differentiated, highlighting the power of accelerators by working with customers on POCs, demonstrating features, optimizing model performance, profiling, and benchmarking.
+ Work with customers to demonstrate and prototype Google Cloud technology integrations in customer/partner environments, including customer/partner data centers.

Help the Account team to close agreements from a technical perspective.
+ Influence Google Cloud strategy at the intersection of infrastructure and AI/ML by advocating for enterprise customer requirements, seamlessly collaborating with the AI Infra Dedicated Engineering team.
+ Travel to customer sites, conferences, data centers, and other related events as needed.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .

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 alsoGoogle's 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.
Google is proud to be an equal opportunity workplace and is an affirmative action employer.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.

Required Skill Profession

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