Staff Software Engineer, AI Data, Multimodal

Staff Software Engineer, AI Data, Multimodal
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Google Sunnyvale, CA, USA
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).
5 years of experience with full-stack development across the back end, such as Java, Python, Golang, or C++ codebases, and the front end.
Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
8 years of experience with data structures and algorithms.
3 years of experience working in an organization involving cross-functional or cross-business projects.
Experience with innovation of technology at scale and passion for development and the use of cross-platform shared code.
Understanding of ML systems and infrastructure for production with technical knowledge to be credible with customers and engineers.
Understanding of genAI model development workflows for post-training and product fine-tuning, especially multimodal and generative media.
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; 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.
With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
In this role, you will build systems to secure high-quality data and also improve velocity for ML researchers and product developers to use the data efficiently for model training/fine-tuning and product adoption.
The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
The US base salary range for this full-time position is $197,000-$291,000 + bonus + equity + benefits. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
Act as a technical leadership and IC work in building and enhancing Google-wide infrastructure for multimodal and generative media use cases.
Design and build scalable, general-purpose multimodal data tooling and infrastructure to support a wide range of research and product areas for multimodal understanding (Gemini) and multimodal generation (Nano Banana, Veo).
Take on issues in multimodal data such as data sourcing, data sampling, evaluation automation, and loss analysis.
Address unique and emerging technical issues of the rapidly evolving field of multimodal AI, working to create stable and impactful solutions for a dynamic landscape.
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.
Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. xrczosw Google is not responsible for any fees related to unsolicited resumes.