Staff Software Engineer, AI/ML

Staff Software Engineer, AI/ML

Share Staff Software Engineer, AI/ML

corporate_fare Google place Mountain View, CA, USA; New York, NY, USA

Advanced

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

Share Staff Software Engineer, AI/ML

info_outline

XIn most instances, this position requires in-person interviews as part of the hiring process.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA .

Minimum qualifications:

• Experience designing, building, and operating large-scale distributed systems, with a focus on scalability, fault tolerance, and reliability.

• Experience in Machine Learning or AI infrastructure.

• Experience in software performance analysis and improvement, and High-Performance computer architectures (e.g., CPU, memory subsystem, multiprocessing).

• Experience designing software architecture for applications, including AI/ML systems.

• Experience with site reliability engineering, system archiecture, and distributed systems.

• Experience building developer tools to improve development velocity, code quality, or code health (e.g., CI/CD, compilers, test automation frameworks).

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.

• 8 years of experience with data structures/algorithms, with strong proficiency in C++ or Python.

• Experience developing and optimizing ML or production serving infrastructure.

• Experience leading complex architectural migrations or cross-team infrastructure projects. Excellent problem-solving skills and ability to collaborate widely across organizations.

• Knowledge of VMs and sandboxed execution environments (e.g., Xbox, Capsules).

• Understanding of the latest evaluation research and areas important to LLM research.

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 mission of the broader GenAI Data and Evaluation Platform team is to provide the infrastructure and support that accelerates data and evaluation efforts across the Gemini program.

In this role, you will coordinate across all of these groups and accelerate efforts wherever needed to bring serving impact to GDM Data and Eval efforts.

Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

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 aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .

Responsibilities

• Lead the architectural design of high-throughput serving infrastructure for evaluation workflows.

• Design scalable systems to store, process, and serve massive datasets for model evaluation.

• Optimize the latency and resource efficiency of large-scale inference and evaluation pipelines.

• Collaborate with research teams to define infrastructure requirements for next-generation AI models.

• Establish technical roadmaps for data serving platforms supporting DeepMind's evaluation ecosystem.

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.

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.