Staff Software Engineer, Model as a Service, Cloud AI

Google LLC
Sunnyvale, CA, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$207,000.0 - $300,000.0
Working hours
Regular working hours
Languages
English

Tech stack

Java (Programming Language) Artificial Intelligence Bioinformatics C++ (Programming Language) Cloud Computing Data Structures Software Debugging Distributed Systems Design of User Interfaces Push Technology Information Retrieval Python (Programming Language)
+14 more
Natural Language Processing Software Architecture Software Engineering Systems Architecture Data Processing Google Cloud Data Storage Technologies Large Language Models Model Validation Kubernetes Information Technology Search Engines Machine Learning Operations Golang

Job description

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., * Build infrastructure for model creators to be able to generate business with their models.

  • Build a platform for partners to manage their services on Vertex.
  • Work with sister teams to bring optimized models and serving techniques (e.g. prefix caching, cache-aware routing, etc.).
  • Build infrastructure for efficiently onboarding open and closed source models to Google Cloud.
  • Scale and maintain existing Model-as-a-service deployments.

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.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

Requirements

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain., * Bachelor’s degree or equivalent practical experience.

  • 8 years of experience in software development.
  • 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
  • 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
  • Experience integrating generative AI tools or LLM interfaces into workflows.
  • Experience with Kubernetes, C++, Go programming., * Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  • 8 years of experience with data structures and algorithms.
  • 5 years of experience with software development in Go, Python or Java programming languages.
  • 3 years of experience in a technical leadership role leading project teams and setting technical direction.
  • 3 years of experience with distributed system design of infrastructure software.
  • Experience testing, maintaining, or launching software products, and with software design and architecture.

About the company

The AI industry is rapidly adopting GenAI models due to their versatility and powerful capabilities in creating text, code, images, videos and more via increasingly more complex input context length. However, even the most technically competent businesses and GenAI developers will face challenges in development, scaling and managing the cost and infrastructure required to host such large models. Our Model as a Service (MaaS) aims to provide a much needed new level of abstraction to remove the complexity of development and provide large GenAI models as a scalable, cloud-based service with an enhanced suite of tools to facilitate the use, integration, and model management.

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.

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

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Apply on www.techcareers.com
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