Staff Software Engineer, AI/ML

Google LLC; New York (NY); On-site; USD 207,000 - 300,000; Full time

Job summary

Google LLC's GenAI Data and Evaluation Platform team is seeking software engineers to design and implement high-throughput serving infrastructure for model evaluation. You will help build scalable data systems to process massive datasets and optimize latency for large-scale inference pipelines.

You will collaborate with research groups to define infrastructure needs for next-generation AI models and help establish roadmaps for data-serving platforms within DeepMind's evaluation ecosystem.

Qualifications

• Experience designing, building, and operating large-scale distributed systems.
• Experience in Machine Learning or AI infrastructure.
• Experience in software performance analysis and improvement; High-Performance architectures.

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 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.

Skills

Distributed systems

ML infrastructure

Performance optimization

Software architecture

Site reliability engineering

Developer tools

Education

Master’s or PhD in Engineering/CS

Tools

VMs

Sandboxed environments

Job description

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

X In 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.

• 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

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 also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

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.

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.

• 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.