Software Engineer, Cloud AI/ML, GPUs

Job description

Software Engineer, Cloud AI/ML, GPUs

_corporate_fare_ Google _place_ Singapore

**Early**

Experience completing work as directed, and collaborating with teammates; developing knowledge of relevant concepts and processes.

_info_outline_

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Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.

**Minimum qualifications:**

+ Bachelor’s degree in Computer Science or equivalent practical experience.
+ 1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
+ 1 year of experience with data structures or algorithms.

**Preferred qualifications:**

+ Master's degree or PhD in Computer Science or related technical field.
+ Experience with large-scale Cloud Infrastructure.
+ Ability to communicate in English and Mandarin fluently to support client management in this region.

**About the job**

The Cloud GPU team is central to AI innovation, dedicated to building and maintaining an industry-leading GPU fleet and AI Platform.

Our core mission is to empower Google Cloud's training and inference customers by providing unparalleled computational resources.

We're responsible for the entire lifecycle of GPU offerings within Google Cloud, from the initial launch of new GPU families to ensuring their optimal reliability and operational excellence for AI workloads.

As a Software Engineer, you will develop the next-generation technologies that change how users connect, explore, and interact with information and one another.

You will bring ideas from all areas, including distributed computing, large-scale system design, networking and data storage, artificial intelligence, etc.

As a software engineer in the Cloud GPU team, you will focus on delivering tangible growth in the AI infrastructure space.

The team works at the intersection of hardware, software, data science and applied AI, constantly pushing the boundaries of what's possible in accelerated computing.

We collaborate closely with internal and external partners to deliver the foundational infrastructure that fuels advancements in artificial intelligence across industries.

**Responsibilities**

+ Write product or system development code.
+ Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
+ Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
+ Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
+ Design and implement solutions in one or more specialized ML areas, leverage ML infrastructure, and demonstrate expertise in a chosen field.

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

Other General